{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Titanic disaster survivors\n", "\n", "The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.\n", "\n", "One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.\n", "\n", "We analyze here what sorts of people were likely to survive, in order to predict, for each passenger, her chances of surviving the shipwreck and to evaluate the overall prediction performance of the algorithms applied." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from IPython.display import Image\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd \n", "import scipy.stats as stats\n", "import seaborn as sns\n", "\n", "from sklearn import preprocessing\n", "from sklearn.model_selection import train_test_split, cross_validate, GridSearchCV\n", "from sklearn.feature_selection import mutual_info_classif, f_classif, SelectKBest\n", "from sklearn.ensemble import ExtraTreesClassifier\n", "from sklearn.decomposition import PCA\n", "from sklearn.preprocessing import StandardScaler, FunctionTransformer\n", "from sklearn.naive_bayes import GaussianNB\n", "from sklearn.pipeline import Pipeline\n", "from sklearn.metrics import confusion_matrix, precision_score, recall_score, accuracy_score, roc_curve \n", "from sklearn.metrics import f1_score, precision_recall_fscore_support, roc_auc_score, make_scorer, auc\n", "from sklearn.linear_model import LogisticRegression" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import matplotlib.colors as mcolors\n", "from matplotlib import cm\n", "\n", "plt.style.use('fivethirtyeight')\n", "\n", "plt.rcParams['font.family'] = 'sans-serif'\n", "plt.rcParams['font.serif'] = 'Ubuntu'\n", "plt.rcParams['font.monospace'] = 'Ubuntu Mono'\n", "plt.rcParams['font.size'] = 10\n", "plt.rcParams['axes.labelsize'] = 10\n", "plt.rcParams['axes.labelweight'] = 'bold'\n", "plt.rcParams['axes.titlesize'] = 10\n", "plt.rcParams['xtick.labelsize'] = 8\n", "plt.rcParams['ytick.labelsize'] = 8\n", "plt.rcParams['legend.fontsize'] = 10\n", "plt.rcParams['figure.titlesize'] = 12\n", "plt.rcParams['image.cmap'] = 'jet'\n", "plt.rcParams['image.interpolation'] = 'none'\n", "plt.rcParams['figure.figsize'] = (16, 8)\n", "plt.rcParams['lines.linewidth'] = 2\n", "plt.rcParams['lines.markersize'] = 8\n", "\n", "colors = ['xkcd:pale orange', 'xkcd:sea blue', 'xkcd:pale red', 'xkcd:sage green', 'xkcd:terra cotta', 'xkcd:dull purple', 'xkcd:teal', 'xkcd:goldenrod', 'xkcd:cadet blue', \n", " 'xkcd:scarlet']\n", "mpl.rcParams['axes.prop_cycle'] = mpl.cycler(color=colors) \n", "cmap_big = cm.get_cmap('Spectral', 512)\n", "cmap = mcolors.ListedColormap(cmap_big(np.linspace(0.7, 0.95, 256)))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "import urllib.request\n", "\n", "filepath = \"../dataset/\"\n", "url = \"https://tvml.github.io/ml2324/dataset/\"\n", "\n", "def get_file(filename):\n", " IS_COLAB = ('google.colab' in str(get_ipython()))\n", " if IS_COLAB:\n", " urllib.request.urlretrieve (url+filename, filename)\n", " return filename\n", " else:\n", " return filepath+filename" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data Handling\n", "#### Let's read our data in using pandas:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(get_file(\"titanic.csv\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Show an overview of our data: " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
5603Moran, Mr. JamesmaleNaN003308778.4583NaNQ
6701McCarthy, Mr. Timothy Jmale54.0001746351.8625E46S
7803Palsson, Master. Gosta Leonardmale2.03134990921.0750NaNS
8913Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)female27.00234774211.1333NaNS
91012Nasser, Mrs. Nicholas (Adele Achem)female14.01023773630.0708NaNC
101113Sandstrom, Miss. Marguerite Rutfemale4.011PP 954916.7000G6S
111211Bonnell, Miss. Elizabethfemale58.00011378326.5500C103S
121303Saundercock, Mr. William Henrymale20.000A/5. 21518.0500NaNS
131403Andersson, Mr. Anders Johanmale39.01534708231.2750NaNS
141503Vestrom, Miss. Hulda Amanda Adolfinafemale14.0003504067.8542NaNS
151612Hewlett, Mrs. (Mary D Kingcome)female55.00024870616.0000NaNS
161703Rice, Master. Eugenemale2.04138265229.1250NaNQ
171812Williams, Mr. Charles EugenemaleNaN0024437313.0000NaNS
181903Vander Planke, Mrs. Julius (Emelia Maria Vande...female31.01034576318.0000NaNS
192013Masselmani, Mrs. FatimafemaleNaN0026497.2250NaNC
\n", "
" ], "text/plain": [ " PassengerId Survived Pclass \n", "0 1 0 3 \\\n", "1 2 1 1 \n", "2 3 1 3 \n", "3 4 1 1 \n", "4 5 0 3 \n", "5 6 0 3 \n", "6 7 0 1 \n", "7 8 0 3 \n", "8 9 1 3 \n", "9 10 1 2 \n", "10 11 1 3 \n", "11 12 1 1 \n", "12 13 0 3 \n", "13 14 0 3 \n", "14 15 0 3 \n", "15 16 1 2 \n", "16 17 0 3 \n", "17 18 1 2 \n", "18 19 0 3 \n", "19 20 1 3 \n", "\n", " Name Sex Age SibSp \n", "0 Braund, Mr. Owen Harris male 22.0 1 \\\n", "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", "2 Heikkinen, Miss. Laina female 26.0 0 \n", "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", "4 Allen, Mr. William Henry male 35.0 0 \n", "5 Moran, Mr. James male NaN 0 \n", "6 McCarthy, Mr. Timothy J male 54.0 0 \n", "7 Palsson, Master. Gosta Leonard male 2.0 3 \n", "8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n", "9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n", "10 Sandstrom, Miss. Marguerite Rut female 4.0 1 \n", "11 Bonnell, Miss. Elizabeth female 58.0 0 \n", "12 Saundercock, Mr. William Henry male 20.0 0 \n", "13 Andersson, Mr. Anders Johan male 39.0 1 \n", "14 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 \n", "15 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 \n", "16 Rice, Master. Eugene male 2.0 4 \n", "17 Williams, Mr. Charles Eugene male NaN 0 \n", "18 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 \n", "19 Masselmani, Mrs. Fatima female NaN 0 \n", "\n", " Parch Ticket Fare Cabin Embarked \n", "0 0 A/5 21171 7.2500 NaN S \n", "1 0 PC 17599 71.2833 C85 C \n", "2 0 STON/O2. 3101282 7.9250 NaN S \n", "3 0 113803 53.1000 C123 S \n", "4 0 373450 8.0500 NaN S \n", "5 0 330877 8.4583 NaN Q \n", "6 0 17463 51.8625 E46 S \n", "7 1 349909 21.0750 NaN S \n", "8 2 347742 11.1333 NaN S \n", "9 0 237736 30.0708 NaN C \n", "10 1 PP 9549 16.7000 G6 S \n", "11 0 113783 26.5500 C103 S \n", "12 0 A/5. 2151 8.0500 NaN S \n", "13 5 347082 31.2750 NaN S \n", "14 0 350406 7.8542 NaN S \n", "15 0 248706 16.0000 NaN S \n", "16 1 382652 29.1250 NaN Q \n", "17 0 244373 13.0000 NaN S \n", "18 0 345763 18.0000 NaN S \n", "19 0 2649 7.2250 NaN C " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(20)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(891, 12)" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n", " 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n", " dtype='object')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These are the meanings of each feature:\n", "\n", "*Survival*: Survival(0 = No; 1 = Yes) \n", "*Pclass*: Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd) \n", "*Name*: Name \n", "*Sex*: Sex (female, male) \n", "*Age*: Age \n", "*SibSp*: Number of Siblings/Spouses Aboard \n", "*Parch*: Number of Parents/Children Aboard \n", "*Ticket*: Ticket Number \n", "*Fare*: Passenger Fare \n", "*Cabin*: Cabin \n", "*Embarked*: Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Name 891 non-null object \n", " 4 Sex 891 non-null object \n", " 5 Age 714 non-null float64\n", " 6 SibSp 891 non-null int64 \n", " 7 Parch 891 non-null int64 \n", " 8 Ticket 891 non-null object \n", " 9 Fare 891 non-null float64\n", " 10 Cabin 204 non-null object \n", " 11 Embarked 889 non-null object \n", "dtypes: float64(2), int64(5), object(5)\n", "memory usage: 83.7+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To have a better vision of the data we are going to display our feature with a countplot of seaborn. Show the counts of observations in each categorical bin using bars. The categorical features of our dataset are these are integer and object. We are going to separate our features into two lists: “categ” for the categorical features and “conti” for the continuous features. The “age” and the “fare” are the only two features that we can consider as continuous. In order to plot the distribution of the features with seaborn we are going to use distplot. According to the charts, there are no weird values (superior at 100) for “age” but we can see that the feature “fare” have a large scale and the most of value are between 0 and 100." ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [], "source": [ "df['TravelBuds'] = df[\"SibSp\"]+df[\"Parch\"]\n", "df['Alone'] = np.where(df['TravelBuds']>0, 0, 1)\n", "df.drop('TravelBuds', axis=1, inplace=True)" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "categ = [ 'Pclass', 'Sex', 'SibSp', 'Parch', 'Embarked', 'Alone', 'Survived']\n", "conti = ['Fare', 'Age']\n", "\n", "#Distribution\n", "fig = plt.figure(figsize=(16, 12))\n", "for i in range (0,len(categ)):\n", " fig.add_subplot(3,3,i+1)\n", " sns.countplot(x=categ[i], data=df, alpha=.7) \n", "\n", "for col in conti:\n", " fig.add_subplot(3,3,i + 2)\n", " sns.histplot(df[col].dropna(), kde=True, stat=\"density\", line_kws={'lw':2,'color':colors[5]})\n", " i += 1\n", " \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16, 10))\n", "i = 1\n", "for col in categ:\n", " if col != 'Survived':\n", " fig.add_subplot(3,3,i)\n", " g = sns.countplot(x=col, data=df,hue='Survived', alpha=.7)\n", " plt.legend(loc=1) \n", " i += 1\n", "\n", "# Box plot survived x age\n", "fig.add_subplot(3,3,7)\n", "#sns.swarmplot(x=\"Survived\", y=\"Age\", hue=\"Sex\", alpha=.7, data=df)\n", "sns.histplot(df[df.Survived==0]['Age'].dropna(), kde=True, bins = 20, line_kws={\"lw\": 2}, label='0')\n", "sns.histplot(df[df.Survived==1]['Age'].dropna(), color=colors[1], kde=True, bins = 20, line_kws={\"lw\": 2}, label='1')\n", "plt.legend()\n", "fig.add_subplot(3,3,8)\n", "sns.violinplot(x=\"Survived\", y=\"Age\", data=df, alpha=.7)\n", "\n", "# fare and Survived\n", "fig.add_subplot(3,3,9)\n", "sns.violinplot(x=\"Survived\", y=\"Fare\", alpha=.7, data=df, saturation=.7)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let us evaluate some conditional probabilities of surviving" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [], "source": [ "def cond_prob(feature):\n", " r = df[df[feature].notnull()][feature].unique()\n", " p = []\n", " for val in r:\n", " joint = df[(df[feature]==val) & (df['Survived']==1)].shape[0]\n", " pre = df[(df[feature]==val)].shape[0]\n", " post_1 = joint/pre\n", " p.append([val, post_1])\n", " return pd.DataFrame(p, columns=['value','prob'])" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [], "source": [ "def cond_prob_2(feature1, feature2):\n", " r1 = df[(df[feature1].notnull())&(df[feature2].notnull())][feature1].unique()\n", " r2 = df[(df[feature1].notnull())&(df[feature2].notnull())][feature2].unique()\n", " p = []\n", " for val1 in r1:\n", " for val2 in r2:\n", " joint = df[(df[feature1]==val1) & (df[feature2]==val2) & (df['Survived']==1)].shape[0]\n", " pre = df[(df[feature1]==val1) & (df[feature2]==val2)].shape[0]\n", " post_1 = joint/pre\n", " p.append([val1, val2, post_1])\n", " return pd.DataFrame(p, columns=[feature1,feature2,'prob'])" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cp = cond_prob_2('Sex','Pclass')\n", "fig = plt.figure(figsize=(16, 6))\n", "sns.barplot(x=cp.columns[0], y=cp.columns[2], hue=cp.columns[1], data=cp, alpha=.7)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16, 10))\n", "i = 1\n", "for col in categ:\n", " if col!='Survived':\n", " fig.add_subplot(3,3,i)\n", " g = sns.barplot(x='value', y='prob', data=cond_prob(col), alpha=.7)\n", " plt.title(col, fontsize=12) \n", " i += 1\n", "plt.suptitle('Probability of surviving', y=1.05, fontsize=16)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 107, "metadata": {}, "outputs": [], "source": [ "frq00, edges = np.histogram(df[df.Survived==1].Age, bins=range(0,90,10))\n", "frq01, edges = np.histogram(df.Age, bins=range(0,90,10))\n", "frq0, edges = np.histogram(df[df.Sex=='male'].Age, bins=range(0,90,10))\n", "frq1, edges = np.histogram(df[(df.Survived==1) & (df.Sex=='male')].Age, bins=range(0,90,10))\n", "frq2, edges = np.histogram(df[df.Sex=='female'].Age, bins=range(0,90,10))\n", "frq3, edges = np.histogram(df[(df.Survived==1) & (df.Sex=='female')].Age, bins=range(0,90,10))" ] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16,4))\n", "fig.add_subplot(1,2,1)\n", "plt.bar(edges[:-1], frq00/frq01, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[2], alpha=.7)\n", "fig.add_subplot(1,2,2)\n", "plt.bar(edges[:-1], frq3/frq2, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[0], alpha=.5, label='female')\n", "plt.bar(edges[:-1], frq1/frq0, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[1], alpha=.5, label='male')\n", "plt.legend()\n", "plt.suptitle('Probability of surviving by age', fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [], "source": [ "frq00, edges = np.histogram(df[df.Survived==1].Fare, bins=range(0,600,50))\n", "frq01, edges = np.histogram(df.Fare, bins=range(0,600,50))\n", "frq0, edges = np.histogram(df[df.Sex=='male'].Fare, bins=range(0,600,50))\n", "frq1, edges = np.histogram(df[(df.Survived==1) & (df.Sex=='male')].Fare, bins=range(0,600,50))\n", "frq2, edges = np.histogram(df[df.Sex=='female'].Fare, bins=range(0,600,50))\n", "frq3, edges = np.histogram(df[(df.Survived==1) & (df.Sex=='female')].Fare, bins=range(0,600,50))" ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16,4))\n", "fig.add_subplot(1,2,1)\n", "plt.bar(edges[:-1], frq00/frq01, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[2], alpha=.7)\n", "fig.add_subplot(1,2,2)\n", "plt.bar(edges[:-1], frq3/frq2, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[0], alpha=.5, label='female')\n", "plt.bar(edges[:-1], frq1/frq0, width=np.diff(edges), ec=\"k\", align=\"edge\", color=colors[1], alpha=.5, label='male')\n", "plt.legend()\n", "plt.suptitle('Probability of surviving by fare', fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n", " 'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked', 'Alone'],\n", " dtype='object')" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Features tweaking" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First of all, let us get rid of features which appear clearly unrelated to surviving probability, such as *PassengerId*, *Name*, *Ticket*" ] }, { "cell_type": "code", "execution_count": 112, "metadata": {}, "outputs": [], "source": [ "df = df.drop(['PassengerId', 'Name', 'Ticket'], axis=1) " ] }, { "cell_type": "code", "execution_count": 113, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Survived', 'Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Cabin',\n", " 'Embarked', 'Alone'],\n", " dtype='object')" ] }, "execution_count": 113, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Missing values" ] }, { "cell_type": "code", "execution_count": 114, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Age', 'Cabin', 'Embarked']" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns[df.isna().any()].tolist()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Age* has a limited number of missing values" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of null values: 177\n", "Ratio of null values: 0.199\n" ] } ], "source": [ "print('Number of null values: {0:d}'.format(sum(pd.isnull(df['Age']))))\n", "print('Ratio of null values: {0:5.3f}'.format(sum(pd.isnull(df['Age']))/df.shape[0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can deal with the problem by inserting a suitable value to fill missing locations. Let us look at the distribution of ages" ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16,4))\n", "sns.histplot(df[df['Age'].notnull()]['Age'],kde=True,bins=20, color=colors[8])\n", "plt.xlabel('Age')\n", "plt.ylabel('Count')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Age* is (right) skewed: using the mean might give us biased results by filling in ages that are older than desired. To deal with this, we use the median to impute the missing values." ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [], "source": [ "df['Age'] = df['Age'].fillna(df['Age'].median(skipna=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Cabin* has a larger amount of missing values. " ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of null values: 687\n", "Ratio of null values: 0.771\n" ] } ], "source": [ "print('Number of null values: {0:d}'.format(sum(pd.isnull(df['Cabin']))))\n", "print('Ratio of null values: {0:5.3f}'.format(sum(pd.isnull(df['Cabin']))/df.shape[0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Moreover, it do not seem to add much value to the analysis: let us drop it from the dataframe." ] }, { "cell_type": "code", "execution_count": 121, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(891, 9)" ] }, "execution_count": 121, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = df.drop(['Cabin'], axis=1) \n", "df.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Embarked* has just a few missing values" ] }, { "cell_type": "code", "execution_count": 122, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of null values: 2\n", "Ratio of null values: 0.002\n" ] } ], "source": [ "print('Number of null values: {0:d}'.format(sum(pd.isnull(df['Embarked']))))\n", "print('Ratio of null values: {0:5.3f}'.format(sum(pd.isnull(df['Embarked']))/df.shape[0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Being it a categorical features, we fill missing values with the most frequent class" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [], "source": [ "df['Embarked'] = df['Embarked'].fillna(df['Embarked'].value_counts().argmax())" ] }, { "cell_type": "code", "execution_count": 124, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Survived 891 non-null int64 \n", " 1 Pclass 891 non-null int64 \n", " 2 Sex 891 non-null object \n", " 3 Age 891 non-null float64\n", " 4 SibSp 891 non-null int64 \n", " 5 Parch 891 non-null int64 \n", " 6 Fare 891 non-null float64\n", " 7 Embarked 891 non-null object \n", " 8 Alone 891 non-null int64 \n", "dtypes: float64(2), int64(5), object(2)\n", "memory usage: 62.8+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## One-hot encoding of categorical variables\n", "This apply to *Sex*, *Pclass* and *Embarked*" ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [], "source": [ "df = pd.get_dummies(df,drop_first=True,columns=['Sex', 'Embarked', 'Pclass'])" ] }, { "cell_type": "code", "execution_count": 126, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SurvivedAgeSibSpParchFareAloneSex_maleEmbarked_CEmbarked_QEmbarked_SPclass_2Pclass_3
0022.0107.25000TrueFalseFalseTrueFalseTrue
1138.01071.28330FalseTrueFalseFalseFalseFalse
2126.0007.92501FalseFalseFalseTrueFalseTrue
3135.01053.10000FalseFalseFalseTrueFalseFalse
4035.0008.05001TrueFalseFalseTrueFalseTrue
\n", "
" ], "text/plain": [ " Survived Age SibSp Parch Fare Alone Sex_male Embarked_C \n", "0 0 22.0 1 0 7.2500 0 True False \\\n", "1 1 38.0 1 0 71.2833 0 False True \n", "2 1 26.0 0 0 7.9250 1 False False \n", "3 1 35.0 1 0 53.1000 0 False False \n", "4 0 35.0 0 0 8.0500 1 True False \n", "\n", " Embarked_Q Embarked_S Pclass_2 Pclass_3 \n", "0 False True False True \n", "1 False False False False \n", "2 False True False True \n", "3 False True False False \n", "4 False True False True " ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Class balance\n", "Let us check that target classes are balanced" ] }, { "cell_type": "code", "execution_count": 127, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of positive items: 342\n", "Number of negative items: 549\n", "Fraction of positive items: 0.38\n" ] } ], "source": [ "print('Number of positive items: {0:d}'.format(df[df.Survived==1].shape[0]))\n", "print('Number of negative items: {0:d}'.format(df[df.Survived==0].shape[0]))\n", "print('Fraction of positive items: {0:3.2f}'.format(df[df.Survived==1].shape[0]/df.shape[0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There is a certain unbalancement towards negative items. Let us consider it acceptable, for now." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us derive the feature matrix and the target vector." ] }, { "cell_type": "code", "execution_count": 128, "metadata": {}, "outputs": [], "source": [ "X = df.drop(['Survived'], axis=1)\n", "y = df['Survived']" ] }, { "cell_type": "code", "execution_count": 129, "metadata": {}, "outputs": [], "source": [ "scaler = StandardScaler()\n", "scaler = scaler.fit(X)\n", "X_s = pd.DataFrame(scaler.transform(X), columns=X.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature selection" ] }, { "cell_type": "code", "execution_count": 130, "metadata": {}, "outputs": [], "source": [ "forest = ExtraTreesClassifier(n_estimators=250, random_state=0)\n", "\n", "forest.fit(X_s, y)\n", "importances = forest.feature_importances_" ] }, { "cell_type": "code", "execution_count": 131, "metadata": {}, "outputs": [], "source": [ "ff = np.array([e.feature_importances_ for e in forest.estimators_])\n", "dd = pd.DataFrame(ff, columns=X.columns)" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pd.DataFrame.iteritems=pd.DataFrame.items\n", "fig = plt.figure(figsize=(16, 6))\n", "sns.barplot(data=dd, ci=\"sd\", alpha=.7)\n", "plt.title('Feature relevance for classification')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 136, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
mi
Sex_male0.163727
Fare0.138865
Pclass_30.040521
SibSp0.038763
Embarked_S0.033304
Alone0.031046
Age0.020523
Pclass_20.009906
Embarked_Q0.009278
Embarked_C0.003013
Parch0.000000
\n", "
" ], "text/plain": [ " mi\n", "Sex_male 0.163727\n", "Fare 0.138865\n", "Pclass_3 0.040521\n", "SibSp 0.038763\n", "Embarked_S 0.033304\n", "Alone 0.031046\n", "Age 0.020523\n", "Pclass_2 0.009906\n", "Embarked_Q 0.009278\n", "Embarked_C 0.003013\n", "Parch 0.000000" ] }, "execution_count": 136, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mi = mutual_info_classif(X_s, y)\n", "dmi = pd.DataFrame(mi, index=X.columns, columns=['mi']).sort_values(by='mi', ascending=False)\n", "dmi" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
scorepval
Sex_male372.4057241.406066e-69
Pclass_3103.0575995.510281e-23
Fare63.0307646.120189e-15
Alone38.3536519.009490e-10
Embarked_C25.8959874.397151e-07
Embarked_S22.0754693.036111e-06
Pclass_27.8148055.293655e-03
Parch5.9634641.479925e-02
Age3.7615285.276069e-02
SibSp1.1105722.922439e-01
Embarked_Q0.0118469.133532e-01
\n", "
" ], "text/plain": [ " score pval\n", "Sex_male 372.405724 1.406066e-69\n", "Pclass_3 103.057599 5.510281e-23\n", "Fare 63.030764 6.120189e-15\n", "Alone 38.353651 9.009490e-10\n", "Embarked_C 25.895987 4.397151e-07\n", "Embarked_S 22.075469 3.036111e-06\n", "Pclass_2 7.814805 5.293655e-03\n", "Parch 5.963464 1.479925e-02\n", "Age 3.761528 5.276069e-02\n", "SibSp 1.110572 2.922439e-01\n", "Embarked_Q 0.011846 9.133532e-01" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fc = SelectKBest(f_classif, k='all').fit(X_s, y)\n", "dfc = pd.DataFrame(np.array([fc.scores_, fc.pvalues_]).T, index=X.columns, columns=['score','pval']).sort_values(by='score', ascending=False)\n", "dfc" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It seems that 5 features (*Sex_male*, *Pclass_3*, *Fare*, *Alone*, *Age*) are the ones providing most information needed for prediction. Let us define a reduced matrix containing only values from those features and a function which selects such features from a dataframe" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "X_sel = X_s[['Sex_male', 'Pclass_3', 'Fare', 'Alone', 'Age']]\n", "cols = [X.columns.get_loc(c) for c in ['Sex_male', 'Pclass_3', 'Fare', 'Alone', 'Age']]" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "def select_columns(X):\n", " return np.take(X,cols, axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can reduce the dimensionality of the problem also by feature extraction for example by applying PCA" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "pca = PCA(n_components=X_s.shape[1])\n", "pca = pca.fit(X_s)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "evr = pca.explained_variance_ratio_" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16,6))\n", "plt.bar(range(evr.shape[0]), evr.cumsum(), alpha=.7)\n", "plt.xticks(range(evr.shape[0]))\n", "plt.yticks(np.linspace(0,1,11))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "X_pca = PCA(n_components=8).fit_transform(X_s)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(891, 8)" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_pca.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Prediction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Naive Bayes\n", "Classification is performed by creating a classifier and insert it in a pipeline, after a scaler" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "clf = Pipeline([('scaler', StandardScaler()),('classifier', GaussianNB())])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classifier is trained by submitting the training set X,y to it. Let us first refer to all features" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "clf = clf.fit(X,y)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classifier coefficients are now instantiated according to the submitted training set. \n", "The classifier can now be applied to prediction. Let us first apply it to the traning set itself (indeed, only to the feature matrix X)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "p = clf.predict(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## How well did the classifier behave?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We may use several measures here. The ones we consider refer to the following values:\n", "\n", "*True positive*: the number of survived passengers (i.e. belonging to class 1) correctly classified \n", "*True negative*: the number of died passengers (i.e. belonging to class 0) correctly classified \n", "*False positive*: the number of died passengers (i.e. belonging to class 0) classified as survived \n", "*False negative*: the number of survived passengers (i.e. belonging to class 1) classified as died\n", "\n", "Such values can be reported in a *confusion matrix*. By definition a confusion matrix $C$ is such that $C(i, j)$ is equal to the number of observations known to be in group $i$ but predicted to be in group $j$. That is, rows correspond to classes, columns to predictions." ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TN\tFP\n", "FN\tTP\n" ] } ], "source": [ "print('\\n'.join(['\\t'.join([str(cell) for cell in row]) for row in [['TN', 'FP'],['FN','TP']]]))" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "cm = confusion_matrix(p, y)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14,3))\n", "hm = sns.heatmap(cm,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 14},\n", " cmap = sns.color_palette(\"PuBu\", 10))\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By definition a confusion matrix C is such that C(i, j) is equal to the number of observations known to be in group i but predicted to be in group j. That is, rows correspond to classes, columns to predictions. So, we have here" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " 240 true positives\n", " 86 false negatives\n", " 102 false positives\n", " 463 true negatives\n" ] } ], "source": [ "print('{0:4d} true positives'.format(cm[1,1]))\n", "print('{0:4d} false negatives'.format(cm[1,0]))\n", "print('{0:4d} false positives'.format(cm[0,1]))\n", "print('{0:4d} true negatives'.format(cm[0,0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Precision* is defined as the ratio of elements predicted as positive which are indeed positive: P=TP/(TP+FP). In this case, the ratio of survived passenger correctly classified wrt the total number of passengers classified as survived\n", "\n", "*Recall* is defined as the ratio of positive elements which are predicted as positive: P=TP/(TP+FN). In this case, the ratio of survived passenger correctly classified wrt the total number of survived passengers\n", "\n", "*F-score* is the harmonic mean of precision and recall $fscore = (precision^{-1}+recall^{-1})^{-1}$\n", "\n", "*Accuracy* is defined as the ratio of correctly classified elements wrt to the overal number of elements" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision = 0.7018\n", "Recall = 0.7362\n", "F-score = 0.7186\n", "Accuracy = 0.7890\n" ] } ], "source": [ "print('Precision = {0:5.4f}'.format(precision_score(p,y)))\n", "print('Recall = {0:5.4f}'.format(recall_score(p,y)))\n", "print('F-score = {0:5.4f}'.format(f1_score(p,y)))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p,y)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We may however be interested in precision, recall and f-score for both classes (survived and perished)" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "m = precision_recall_fscore_support(p,y)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision class 0 = 0.8434\n", "Precision class 1 = 0.7018\n", "Recall class 0 = 0.8195\n", "Recall class 1 = 0.7362\n", "F-score class 0 = 0.8312\n", "F-score class 1 = 0.7186\n", "Accuracy = 0.7890\n" ] } ], "source": [ "print('Precision class 0 = {0:5.4f}'.format(m[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p,y)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model also returns measures of the confidence of passenger predictions, in terms of probabilities. \n", "\n", "*class probabilities*: the estimated probability that a passenger is survived" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "y_prob = clf.predict_proba(X)\n", "c = list(y.apply(lambda x: colors[1] if x==1 else colors[2]))\n", "plt.figure(figsize=(18,10))\n", "plt.scatter(range(y_prob.shape[0]), y_prob[:,1], color=c, s = 20, marker='o', alpha=.7)\n", "plt.plot(range(y_prob.shape[0]), y, color=colors[0], ms = 4, marker='o', linestyle=' ', alpha=.7)\n", "plt.axhline(y=.5, xmin=0, xmax=1, linewidth=2, linestyle='dashed', color=colors[9])\n", "plt.xlim(1,y_prob.shape[0])\n", "plt.title('Survived: Blue: \\nPerished: Red');\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A ROC (Receiver Operating Characteristic) curve represents, for any value of the threshold applied to the probabilities for classification, the ratio $\\frac{FP}{N}=\\frac{FP}{TN+FP}$ of negative elements incorrectly classified as positive (*False positive rate*) and the ratio $\\frac{TP}{P}=\\frac{TP}{TP+FN}$ of positive elements correctly classified as positive (*True positive rate*).\n", "\n", "The ideal point is (0,1): no negative elements misclassified, all positive elements well classified." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "fpr, tpr, thresholds = roc_curve(y, clf.predict_proba(X)[:,1], pos_label=1)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16,8))\n", "plt.plot(fpr, tpr, color=colors[0], linewidth=1,label='ROC curve (area = %0.2f)' % auc(fpr, tpr))\n", "plt.fill_between(fpr, 0, tpr, alpha=0.2)\n", "plt.plot([0, 1], [0, 1], color=colors[1], linewidth=1)\n", "plt.xlim([0.0, 1.0])\n", "plt.ylim([0.0, 1.05])\n", "plt.ylabel(r'True Positive Rate')\n", "plt.xlabel(r'False Positive Rate')\n", "plt.title('Receiver operating characteristic', fontsize=14)\n", "plt.legend(loc=\"lower right\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Area under curve (AUC) provides a measure of the quality of the classifier. More precisely, it corresponds to the probability that a classifier ranks a random positive item higher than a random negative one (that is assigns it a higher probability of being positive)." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC = 0.8283\n" ] } ], "source": [ "print('AUC = {0:0.4f}'.format(auc(fpr, tpr)))" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8283188998604587" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roc_auc_score(y, clf.predict_proba(X)[:,1])" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "optimal_idx = np.argmax(tpr-fpr)\n", "optimal_threshold = thresholds[optimal_idx]" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Optimal threshold: 0.432\n" ] } ], "source": [ "print('Optimal threshold: {0:3.3f}'.format(optimal_threshold))" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [], "source": [ "pred_proba_df = pd.DataFrame(clf.predict_proba(X)[:,1])\n", "p = pred_proba_df.applymap(lambda x: 1 if x>optimal_threshold else 0)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [], "source": [ "cm = confusion_matrix(y,p)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEiCAYAAAAF7Y7qAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAjBUlEQVR4nO3de1zVVaL38c9GxAtY3E3c4LaLlo7aBpsCiawmxrQTNnSwbLIUkZOR2fNY00xnOPqaqZc+h6aZQ+SFiqYzHa00FKNppjTGImYMwTQdL2Ub2NARlAgFAQmePxh37cBxgSBu+77/cq+1fmut3Sv31/W7rJ+lrq6uHREREQNe/T0BERHxHAoNERExptAQERFjCg0RETGm0BAREWMKDRERMabQEBERYwoNERExptAQERFj3udikKC5vzkXw8h5qHbNz/p7CtKP2gee7O8pnFd68lt4NOf/9MFMek4rDRERMabQEBHxcMuXL8ff35+9e/cCMGPGDCZNmkRsbCyxsbFkZWW52jY2NpKcnIzdbicqKoq8vLxujXVOTk+JiEjf2LlzJ8XFxVitVrfyFStWMG3atE7tMzMz8fHxobS0FIfDQXx8PHFxcfj7+xuNp5WGiIiHam5u5tFHHyUjIwOLxWJ0TG5uLikpKQDYbDZiYmLIz883HlOhISLioZ566imSkpKw2Wyd6tLT04mJiWHu3Lk4HA5XudPpJDw83PU5IiICp9NpPKZCQ0TEA23fvp2SkhLmz5/fqW716tVs376dwsJCoqOjmTVrllv9t1cl7e3de6WSQkNExAMVFhZy8OBBJk6cyIQJE6iqqiIxMZF33nnHdX3DYrGwYMECHA4HtbW1AFitVsrLy139VFRUdLoe8s8oNEREPNAjjzzCvn372L17N7t37yYsLIwNGzZw4403Ul1d7Wq3adMmQkJCCAwMBCAhIYHs7GwAHA4HhYWFTJ8+3Xhc3T0lInIBaW5uJikpiZaWFiwWC0FBQaxdu9ZVv2jRItLS0rDb7Xh5eZGRkUFAQIBx/woNEZELwO7du11/LigoOG07X19fcnJyejyOTk+JiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgxhYaIiBhTaIiIiDG9T0NE5ByxBI3q7ymcNa00RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjCk0RETEmEJDRESMKTRERMSYQkNERIwpNEREPNzy5cvx9/dn7969ANTU1JCYmEhkZCTR0dEUFRW52jY2NpKcnIzdbicqKoq8vLxujaW9p0REPNjOnTspLi7GarW6ypYuXcrkyZPZsGEDJSUlzJkzh507d+Lt7U1mZiY+Pj6UlpbicDiIj48nLi4Of39/o/G00hAR8VDNzc08+uijZGRkYLFYXOUbN24kJSUFgMjISEJDQ12rjdzcXFedzWYjJiaG/Px84zEVGiIiHuqpp54iKSkJm83mKqutraWtrY3g4GBXWUREBE6nEwCn00l4eHiXdSYUGiIiHmj79u2UlJQwf/78TnXfXnUAtLe3n7b+u3VnotAQEfFAhYWFHDx4kIkTJzJhwgSqqqpITExkx44dABw5csTVtqKiwnXNw2q1Ul5e3mWdCYWGiIgHeuSRR9i3bx+7d+9m9+7dhIWFsWHDBm655RYSEhLIzs4GoKSkhOrqaqKjowHc6hwOB4WFhUyfPt14XN09JSJygVm2bBmpqalERkbi4+PDqlWr8Pbu+LlftGgRaWlp2O12vLy8yMjIICAgwLhvhYaIyAVg9+7drj+HhoaSm5vbZTtfX19ycnJ6PI5OT4mIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgx3T0lInKODAkI7e8pnDWtNERExJhCQ0REjCk0RETEmK5pdNOSmVNYPicegCmPZ/O3A+5bCqfPmkr6rBu7PLap5SR+d/26U7m/72B+cWcct//wSsKDL6a+sZltex0sW/ceeytqev9LyFlra2tj/RuvkZe/CUeZA+8BAxgzZiz33HUvN1w/tVP74w3HyX5hFVsLtnC09ihBgUHcNPVmUpL/DT9fv3P/BUR6SKHRDVeODGbpXTdy/EQzfkMG/dO2v99aSllNnVtZ69dtndoF+g3hg+XzGRMWTNG+cjZ/tJ9L/P34SfQ4ptmv4Jb/eIntByt782vIWWpvb+fnv3yMrQVbsI4MJ+G2BFpOnmTb+wUsefwRHn3kZyTdeZer/YkTJ0h9cD4HDu7n2muuI/6WaRz89AD/8+orFJcU8/zKHIYMGdJ/X0ikGxQahry8LOQsuoNdjsMcqDrKT6dO+qftX35vJ3/Z4zhjv/9x142MCQvmmbwPefSlP7nKs976GwVPziP7wZlc/chz3d7zXvrO1oJ32VqwhUkTr+bZ365k8KDBADyYmsac5Hv4XdYzxE6JI2xEGAAvv/ISBw7uZ8499/PQwodd/ax+fiXP56zh5VdeInX+A/3yXUS6S9c0DD12RywTbZcwP2sjX7d1XjH0VMK1V/L1120sXfeeW/lfDzh5s/gA4yNCuWH8qF4bT85ewbYCAObeO88VGAD+/gHcPeuntLS0sDl/E9CxKtm0OZehQ4Yyf+4Ct37uv3ceFw27iLw3N+ofBeIxFBoGxkeE8sukqTy1fpvxNYbYcaNYMnMKj9wew/SoK/DxHtBlu+EX+3HkWCMNTS2d6hyHvwTgxgmX9nzy0utqa48CEBY2slPdqdVF8Y6PACivKKfmSA0TJ17d6RTUoEGDsF8dSXVNNRXO8k59iZyPdHrqDAZ4efFC2kz+7qxhxRvvGx+37O6b3D5X1dYzLzOXdz8+5FZeU9/A8Iv98B3s0yk4bMM79ri/Iiyoh7OXvnDq3QNVVZWMtrkHetUXVQCUV5QBuMIgwhpOV8KtER3tKsqJCNeKUs5/3V5pVFRUUFRURFFRERUVFX0xp/PKzxOvZ5LtElKyNnV5Ifu7dn7+v9z/X29waepv8J31K8Yu/B3p/7MFf9/B5D4+m4m24W7t3y75lAEDvEhPmupWfs3lI5kRNQYA/6GDkfNHzHVTAPj9H3Jobm52ldd9Vce6114B4NjxYwAcP34cAD+/YV325evr29Gu4XifzVekNxmvNA4cOEBaWhplZWVYrVba29uprKxk1KhRZGZmMnbs2L6cZ7+YaBvOL+6M4zebPqT00BdGx+Rt3+f2+bP/reWp9ds4XNfA6oW384s7b+CujNdc9ctefY9pkZfzf2dO4bqxVv52wMklAcNIjB7HXmcNk2yX9Oo1FDl78T+axub8PIpLPuLuOf9K9LUxtLa2UvB+AUGBgQB4eXV9OlLE0xmvNBYuXMiDDz7I/v372bJlC1u3bmX//v08+OCDPPDAhXnnx4sP3cFnh79k2avvnbnxGbxcsJOTrV8Tc6X7aYrKo/Vc99gaXnh3B7bQANKmX8u1Y6wsXfceyzdsA6CmvvGsx5fe4+3tze+efpYFyf+GxeJFbt4bvPeXrdxw/VSW//o/AQjw9wfAz6/jGYzj/1h5fFdDQ0NHOz2rIR7CeKVRV1dHQkJCp/KEhAR+9atf9eqkzhdXjx4BQONr6V3WFy5PAeAny9d2WmF818nWrzl2opmhgwZ2qquqPUbqc3mdytNnTQVgx2dV3Zm2nAM+Pj6kzEslZV6qW/mOkmIArrpyHPDNNYtyZ9enck9d8wgPj+irqYr0KuPQCAoKYt26dSQlJeHl1bFAaWtrY926dQT+Y0l+oXnh3R1dll8/bhRjwoLJ276PmvoGyqrrztjX5SMCCRw2lJ2fm53m8vKykDTlB5xs/Zo3ivZ2Z9rSj/7457eAjlNYABHhEYQEh7Br105OnDjhdgdVc3MzpTtLCAkOcYWLyPnOODRWrlzJ4sWLefzxxxkxYgQWi4XKykomTpzIc88915dz7Ddd/esf4IW0mYwJC2bFG++7bSPiN9iH0cMD2F122K29v+9gshd2rNJe/eATtzrvAV54D/CiqaXVVWaxWPjP+37MldYQfpv3IV982fWpDek/xxuOdzqltOW9d9icv4lxV43nxhs67p6zWCwk/MsdPJ+zhudz1rg93PfSf79I/bF65t+5AIvFck7nL9JTxqFx6aWXkpeXx5EjR3A6O34orVYrwcHBfTY5TxM0bCilzyzko08r+aTsMDVfNRAWeBHTIi8n+CJf3tn5Kb/dXOR2zHB/P3b99kHe+fgzHIe/ZODAAcRffTlXWUPIL97PL/7wbj99G/ln5qbMYXjocGy20QzyGcSevZ+wo7SYkWFWlv/6/zFgwDcXwufccz/bPvgLL7/yEvsP7OPKsVdx8NMDfPjXQsZcMZY599zff19EpJu6/ZxGcHCwguI0ao+fIOutv3HtGCu3TR6Lv+9gGppb+KSsmle2beWFd3fQ1ub+5O9XDU3kfbSPmCsjmBE1hpNff82e8moWPLeJnC2lelL4PHXLzfG895etfLJnN62trYSFhTHvvvnce899nVYgQ4YMYfWz2WS/uJotBVvYUVpMUFAws2fdQ8q8VO07JR7FUldX1+e/SkFzf9PXQ8h5qnbNz/p7CtKP2gee7O8pnFfCnzR/QPiUiieu74OZ9Jy2EREREWMKDRERD3XHHXcQExNDbGwst956K7t27QJgxowZTJo0idjYWGJjY8nKynId09jYSHJyMna7naioKPLyur7h53S095SIiIfKycnB/x8Pkr755pukpaWxbVvHQ8ErVqxg2rRpnY7JzMzEx8eH0tJSHA4H8fHxxMXFufo5E600REQ81Ld/6Ovr613P0P0zubm5pKR0PJhss9mIiYkhPz/feEyFhoiIB0tNTWX8+PE8+eSTrFy50lWenp5OTEwMc+fOxeFwuMqdTifh4d9sZxQREeF6jMKEQkNExIOtXr2aPXv28MQTT5Cenu4q2759O4WFhURHRzNr1iy3Y779MGl3b+tXaIiIXABmz57N+++/T21tLVarFegIhwULFuBwOKitrQU6HsouL//mpV8VFRWu9iZ0IVxE5By54pLe2824vr6ehoYGRozo2Fh18+bNBAYGMmzYMKqrqwkNDQVg06ZNhISEuPYITEhIIDs7m5UrV+JwOCgsLOSZZ54xHlehISLigerr65kzZw5NTU1YLBaCg4NZt24dLS0tJCUl0dLSgsViISgoiLVr17qOW7RoEWlpadjtdry8vMjIyHC9jdKEQkNExANZrVa2bt3aZV1BQcFpj/P19SUnJ6fH4+qahoiIGFNoiIiIMYWGiIgYU2iIiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIiIMYWGiIgYU2iIiIgx7/6egIjI98UPgnz7ewpnTSsNERExptAQERFjCg0RETGm0BAR8VB33HEHMTExxMbGcuutt7Jr1y4AampqSExMJDIykujoaIqKilzHNDY2kpycjN1uJyoqiry8vG6NqQvhIiIeKicnB39/fwDefPNN0tLS2LZtG0uXLmXy5Mls2LCBkpIS5syZw86dO/H29iYzMxMfHx9KS0txOBzEx8cTFxfn6udMtNIQEfFQ3/6hr6+vx8ur4yd948aNpKSkABAZGUloaKhrtZGbm+uqs9lsxMTEkJ+fbzymVhoiIh4sNTWVDz74AID169dTW1tLW1sbwcHBrjYRERE4nU4AnE4n4eHhXdaZ0EpDRMSDrV69mj179vDEE0+Qnp4OgMVicWvT3t7u9vnb9d+tOxOFhojIBWD27Nm8//77rs9Hjhxx/bmiogKr1QqA1WqlvLy8yzoTCg0REQ9UX1/PF1984fq8efNmAgMDCQgIICEhgezsbABKSkqorq4mOjoawK3O4XBQWFjI9OnTjcfVNQ0REQ9UX1/PnDlzaGpqwmKxEBwczLp167BYLCxbtozU1FQiIyPx8fFh1apVeHt3/NwvWrSItLQ07HY7Xl5eZGRkEBAQYDyuQkNExANZrVa2bt3aZV1oaCi5ubld1vn6+pKTk9PjcXV6SkREjCk0RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjCk0RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjJ2TXW5r1/zsXAwj56GswkP9PQXpRwunhp+50ffIlf5D+nsKZ00rDRERMabQEBERYwoNERExptAQERFjCg0RETGm0BAREWMKDRERMabQEBERYwoNERExptAQERFjCg0RETGm0BAREWMKDRERD9TU1MTs2bOJiooiNjaWxMREysrKAJgxYwaTJk0iNjaW2NhYsrKyXMc1NjaSnJyM3W4nKiqKvLy8bo17Tna5FRGR3nf//fdzyy23YLFYWLNmDYsXLyY3NxeAFStWMG3atE7HZGZm4uPjQ2lpKQ6Hg/j4eOLi4vD39zcaUysNEREPNHjwYOLj47FYLABcc801OByOMx6Xm5tLSkoKADabjZiYGPLz843HVWiIiFwAVq1a5baySE9PJyYmhrlz57qFidPpJDz8m/ecRERE4HQ6jcdRaIiIeLinn36aQ4cO8ctf/hKA1atXs337dgoLC4mOjmbWrFlu7U+tTgDa29u7NZZCQ0TEg2VmZrJ582Zef/11hg4dCoDVagU6wmHBggU4HA5qa2tddeXl5a7jKyoqXO1NKDRERDzUs88+y/r169m4caPrQnZrayvV1dWuNps2bSIkJITAwEAAEhISyM7OBsDhcFBYWMj06dONx9TdUyIiHqiyspJ///d/x2azcdtttwEwaNAg8vLySEpKoqWlBYvFQlBQEGvXrnUdt2jRItLS0rDb7Xh5eZGRkUFAQIDxuAoNEREPNHLkSOrq6rqsKygoOO1xvr6+5OTk9HhcnZ4SERFjCg0RETGm0BAREWO6piEico5cdvGQ/p7CWdNKQ0REjCk0RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjCk0RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjCk0RETEmEJDRESMKTRERMSYQkNERIwpNERExJhCQ0REjCk0RETEmEJDRESMKTRERDxQU1MTs2fPJioqitjYWBITEykrKwOgpqaGxMREIiMjiY6OpqioyHVcY2MjycnJ2O12oqKiyMvL69a4Cg0REQ91//33U1xczAcffMCPf/xjFi9eDMDSpUuZPHkyJSUlZGVlkZKSQmtrKwCZmZn4+PhQWlrKhg0bWLJkCXV1dcZjKjRERDzQ4MGDiY+Px2KxAHDNNdfgcDgA2LhxIykpKQBERkYSGhrqWm3k5ua66mw2GzExMeTn5xuPq9AQEbkArFq1imnTplFbW0tbWxvBwcGuuoiICJxOJwBOp5Pw8PAu60x4996URUTkn7FdPLhP+n366ac5dOgQzzzzDE1NTa7Vxynt7e1un79d/926M9FKQ0TEg2VmZrJ582Zef/11hg4dSmBgIABHjhxxtamoqMBqtQJgtVopLy/vss6EQkNExEM9++yzrF+/no0bN+Lv7+8qT0hIIDs7G4CSkhKqq6uJjo7uVOdwOCgsLGT69OnGY1rq6uq6tzbpAcvJgX09hJynsgoP9fcUpB8tnBp+5kbfI/sPHe/2MWMv9euyvLKykvHjx2Oz2fDz62gzaNAgtmzZQnV1NampqZSVleHj40NGRgaxsbEANDQ0kJaWxs6dO/Hy8iI9PZ2EhATj+Sg0zkJbWxvr33iNvPxNOMoceA8YwJgxY7nnrnu54fqpndofbzhO9gur2FqwhaO1RwkKDOKmqTeTkvxv+Pl2/T+Gp/Pk0Gj46iiOXUVU7ivhq5pKThyrw2eIH8NtY/nB1JmERIxxa1/651f5+N3XuuzLy3sgc55a51Z2tOpzynb/laqDH3P86GFamhoZenEgI8famXhTIr4XB/XZdztXFBruejM0+osuhPdQe3s7P//lY2wt2IJ1ZDgJtyXQcvIk294vYMnjj/DoIz8j6c67XO1PnDhB6oPzOXBwP9decx3xt0zj4KcH+J9XX6G4pJjnV+YwZMiQ/vtC0snfC9/ik4KNDAu6hLArJjLY72Lqj3xB+Z7tlO/5iLjZixk9aUqn4y6LmopfQKhbmdeAAZ3aFb2xmiMVnxJsvZzRV8fiNcCbIxUH2V/0Jxy7irj1gV/hH2p+rlnkXFBo9NDWgnfZWrCFSROv5tnfrmTwoI67Ih5MTWNO8j38LusZYqfEETYiDICXX3mJAwf3M+ee+3lo4cOuflY/v5Lnc9bw8isvkTr/gX75LtK1kPAruPWBXzF89Di38sOf7+VPa5bx19w1RIz/IQO83VfSl0++kRGX/eCM/V9mjyPu7sVcFHSJW/nu93LZ8cc/UPzm7/nRvCfO/ouI9CJdCO+hgm0FAMy9d54rMAD8/QO4e9ZPaWlpYXP+JqBjVbJpcy5Dhwxl/twFbv3cf+88Lhp2EXlvbuz2rW/St0ZNuK5TYAAMHz2OSy4bT3Pjcb78oqzH/V81ZXqnwAAYf8PteA8cxP8e2tvjvkX6ikKjh2prjwIQFjayU92p1UXxjo8AKK8op+ZIDRMnXt3pFNSgQYOwXx1JdU01Fc7yTn3J+cnLq2ORbunitFP1539nd8FGPvlLHhV/38HXrSe71bcFCxYvLyxe+usp5x+dnuqhgIAAAKqqKhltu9StruqLKgDKKzr+FXoqDCKsXV8UDLdGdLSrKCcifFSfzFd6z/Eva6j6dBdDhvkTcElEp/rSP7tf8B4yLIDrZz1E2JhJRv07dhdxsvkEtonRvTJfkd6kf8r0UMx1HRdAf/+HHJqbm13ldV/Vse61VwA4dvwYAMePd9wx4ec3rMu+fH19O9o1dP/OCjm32r5u5f11/0Vb60kmT78XL69vVhqBYTZiZz3EnT9fyU+fXMtPHnsW+4/vpqWpgS0vLae2ynHG/hvqjvC3TS8yYKAP9vi7+/CbiPRMr6w0oqKi2LFjR2905THifzSNzfl5FJd8xN1z/pXoa2NobW2l4P0Cgv7xROa3f1DE87W3tfHB61kc/nwvY374Iy6LmupWP+oH17p9vih4BJNuvpMhfhfz4YZVfLxlPTfeu+S0/Tc3HuOdF5+kqeErrp/1EBeHdj71KdLfjENj3759p61raGjolcl4Em9vb3739LP8/g85vP3nP5Kb9wZ+vn5MveEmfnr3vSTeNZOAfzyheerBm+P/WHl816n/fhfqsxoXgvb2dj7csJJDJdu4NDKO6J+kGh97WdRUinKzqXac/u9Qc+Nx/rRmGXWHK4i+YwGXRd7QG9MW6XXGoREdHU1ERESXd/gcPXq0VyflKXx8fEiZl0rKPPcfkB0lxQBcdWXHnTenrlmUOyu67OfUNY/w8M7nx6X/tbe1Ubh+JZ8Wb2X01bHEJqV16yL1AO+BDBw0hNaTzV3WNzce409rllFb9TnXzUxh7HXxvTV1kV5nHBrh4eG8/fbbjBgxolPd+PHje3VSnu6Pf34L6DiFBRARHkFIcAi7du3kxIkTbndQNTc3U7qzhJDgEFe4yPnj24FhmzSF6+9a1O3TjvU1VbScOE7ACFunum8HxrUJyVwZM62XZi7SN4z/uXTrrbe6XvDxXd3Z7OpC0tWF6y3vvcPm/E2Mu2o8N95wE9CxDXHCv9xB44lGns9Z49b+pf9+kfpj9ST8yx2dtjOW/tURGM91BMbEaOLuevi0gXGy6QS1Xzg6lTc3Hqdw/XMAXHp17HfqvgmMH94+j6umfD//Holn0d5TZ+FfZ/+E4aHDsdlGM8hnEHv2fsKO0mJGhllZmbmaEZeEudqeOHGC+Q/MdW0jcuXYqzj46QE+/GshY64Ye8FuI+LJe0+d2kvK22cw42JnYOkiMCJ+8EOCwkZzrLaaDcsfIMh6GQGXjGKw30U01tdSua+U5sZjhF0xiZvn/tzt6fE/rkrn8KE9XBw6EtvEztuRAIy7/jYGDfHts+/Y17T3lDvtPfU9d8vN8bz3l618smc3ra2thIWFMe+++dx7z32dLmoPGTKE1c9mk/3iarYUbGFHaTFBQcHMnnUPKfNSL8jA8HTHv6wGoLWliV1bN3TZxi8whKCw0Qwa6seVMdOoKTtIxd+LaTnRgLfPIAIuGcVlkXFc8cObO61STvX/VXXlaTc6vHzyjR4dGnLh0UpD+pQnrzTk7Gml4e5CWGno4T4RETGm0BAREWMKDRERMabQEBERYwoNERExptAQERFjek5DROQcGX6x5z+PpZWGiIgYU2iIiIgxhYaIiBhTaIiIiDGFhoiIGFNoiIh4oMcee4wJEybg7+/P3r17XeUzZsxg0qRJxMbGEhsbS1ZWlquusbGR5ORk7HY7UVFR5OXldXtc3XIrIuKBEhISePjhh5k2rfPbHlesWNFleWZmJj4+PpSWluJwOIiPjycuLg5/f3/jcbXSEBHxQFOmTGHkyJHdOiY3N5eUlBQAbDYbMTEx5Ofnd6sPhYaIyAUmPT2dmJgY5s6d6/aabqfTSXj4N+84iYiIwOl0dqtvhYaIyAVk9erVbN++ncLCQqKjo5k1a5ZbvcVicf25vb377+BTaIiIXECsVivQEQ4LFizA4XBQW1vrqisvL3e1raiocLU3pdAQEblAtLa2Ul1d7fq8adMmQkJCCAwMBDounmdnZwPgcDgoLCxk+vTp3RpDd0+JiHigJUuW8NZbb3H48GFmzpyJr68vH3zwAUlJSbS0tGCxWAgKCmLt2rWuYxYtWkRaWhp2ux0vLy8yMjIICAjo1riWurq67p/U6ibLyYF9PYScp7IKD/X3FKQfLZwafuZG3yN1R7/u9jH+QQP6YCY9p9NTIiJiTKEhIiLGFBoiImJMoSEiIsYUGiIiYkyhISIixhQaIiJiTKEhIiLGFBoiImJMoSEiIsYUGiIiYkwbFoqInCMBFw3u9jHtnOyDmfScVhoiImJMoSEiIsYUGiIiYkyhISIixhQaIiJiTKEhIiLGFBoiImJMoSEiIsYUGiIiYkyhISIixhQaIiJiTKEhIiLGFBoiImJMoSEi4oEee+wxJkyYgL+/P3v37nWV19TUkJiYSGRkJNHR0RQVFbnqGhsbSU5Oxm63ExUVRV5eXrfHVWiIiHighIQE3n77bcLDw93Kly5dyuTJkykpKSErK4uUlBRaW1sByMzMxMfHh9LSUjZs2MCSJUuoq6vr1rgKDRERDzRlyhRGjhzZqXzjxo2kpKQAEBkZSWhoqGu1kZub66qz2WzExMSQn5/frXEVGiIiF4ja2lra2toIDg52lUVEROB0OgFwOp1uK5Nv15lSaIiIXEAsFovb5/b29tPWf7fOhEJDROQCERgYCMCRI0dcZRUVFVitVgCsVivl5eVd1plSaIiIXEASEhLIzs4GoKSkhOrqaqKjozvVORwOCgsLmT59erf6V2iIiHigJUuWMG7cOKqqqpg5cyZ2ux2AZcuWsX37diIjI1m4cCGrVq3C29sbgEWLFtHU1ITdbicxMZGMjAwCAgK6Na6lrq6u+ye1uslycmBfDyHnqazCQ/09BelHC6eGn7nR90hPfgvbB57sg5n0nFYaIiJiTKEhIiLGzsnpKRERuTBopSEiIsYUGiIiYkyhISIixhQaIiJiTKHRhz777DPi4+OJioripptuYt++ff09JTlHTveuAxFPp9DoQ4sXL+a+++5jx44dPPzwwzz00EP9PSU5R073rgMRT6fQ6CM1NTV8/PHHzJo1C4Dbb7+dsrIyysrK+nlmci6c7l0HIp5OodFHKisrGTFihGvPF4vFgtVq7fbe9SIi5xOFRh860772IiKeRqHRR0aOHElVVZXr3bzt7e1UVlZ2e+96EZHziUKjj4SEhDBhwgReffVVAPLy8oiIiGDUqFH9PDMRkZ7T3lN96ODBgyxcuJDa2lqGDRvGypUrueqqq/p7WnIOLFmyhLfeeovDhw8TFBSEr68vpaWl/T0tkbOm0BAREWM6PSUiIsYUGiIiYkyhISIixhQaIiJiTKEhIiLGFBoiImJMoSEiIsYUGiIiYkyhISIixhQaIiJiTKEhIiLG/j+VB47SUGgKmgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14,3))\n", "hm = sns.heatmap(cm,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 14},\n", " cmap = sns.color_palette(\"PuBu\", 10))\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [], "source": [ "m = precision_recall_fscore_support(p,y)" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision class 0 = 0.8361\n", "Precision class 1 = 0.7368\n", "Recall class 0 = 0.8361\n", "Recall class 1 = 0.7368\n", "F-score class 0 = 0.8361\n", "F-score class 1 = 0.7368\n", "Accuracy = 0.7980\n" ] } ], "source": [ "print('Precision class 0 = {0:5.4f}'.format(m[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p,y)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A better evaluation can be obtained by using a training set - test set pair" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "clf = Pipeline([('scaler', StandardScaler()),('classifier', GaussianNB())]).fit(X_train, y_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Perform predictions on both training and test set" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [], "source": [ "p_train = clf.predict(X_train)\n", "p_test = clf.predict(X_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Compute measures in both cases" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [], "source": [ "cm_train = confusion_matrix(y_train,p_train)\n", "cm_test = confusion_matrix(y_test,p_test)" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAApgAAADQCAYAAACjpRHhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deViVdf7/8SfLEdLggKloghtoDWpuQGakGJOCpOSSYGNJudKk0qJmNu7ZNM00pmWLFpY2TH4tlQJcCyTSQtHcKEVzSzI3hFzgcDi/P/p1JlIh6cQBzutxXV7XuT+f+/7c79Nl3q9zL5/bqaCgwIKIiIiIiI0427sAEREREalbFDBFRERExKYUMEVERETEphQwRURERMSmFDBFRERExKYUMEVERETEphQwbSg+Pp6YmJjr2iYqKopJkyb9QRWJiIiIVD8nR5wH08vLq8L+YcOG8dprr133uOfPn8disVQ6/i+dO3cOV1dXPDw8rnt/1Sk+Pp6zZ8/y/vvv27sUERGH9EcduwCef/55kpOT2bJlS5W2r2n7EftztXcB9vDNN99YP69bt44JEyaUa3N3dy+3vslkwmAwVDqu0Wi87lq8vb2vexsREXE813vsErEnh7xE7uPjY/3zcyj8efny5cu0bNmSlStX0r9/f5o2bUpiYiJnz55l5MiRBAYG0rRpU7p3787y5cvLjfvrS+RRUVE8+eSTzJ49mzZt2hAQEMCzzz5LWVlZuXV+eYm8Y8eOvPjiiyQkJODn50dgYCALFiwot5+8vDz69euHj48PQUFBrF+/nubNm/Pee+9d8zvv3buXAQMG4Ofnh6+vL3feeSebN2+29n/99dcMHToUX19fAgICGDlyJCdPngR++sWZlJTEunXr8PLywsvLi8zMzCr8lxcRkaqq6Njl4+PD559/Tq9evfDx8eG2225jzpw5lJSUWLdPTk6mR48eNG3alFatWtGvXz9++OEH3nvvPV544QVyc3Ot/8Zf63hy/Phxhg0bRqtWrWjWrBnBwcF88MEH1v4TJ07wyCOP0LJlS1q2bMnQoUM5ePAgwHXtR2o/hzyD+VvMmjWLuXPnsnDhQgwGA5cvX6ZTp05MnDgRT09P0tPTefzxx/Hz86NXr17XHOf//u//GDt2LOvXr2f37t2MGjWKzp07M2TIkGtus2jRIqZOncqECRPYsGEDU6ZMoXv37oSEhFBWVsbw4cNp0qQJGzZs4PLly0ydOpXi4uIKv8/o0aPp0KEDmzZtwtXVlb1791p/7X7//ff069ePBx98kDlz5mAymZgzZw7Dhg1j48aNjB8/nv3793Pu3DneeOMNQGdeRURqkk2bNjFmzBief/557rzzTo4dO8YTTzxBcXExc+fO5eTJk4wcOZLp06czYMAALly4wLZt2wAYNGgQubm5rFu3jo8//hgAT0/Pq+7nySefpLi4mI8++ggPDw/y8vKsfRcvXqR///6EhISQkpJCvXr1WLhwIdHR0Xz55ZfXtR+p/RQwr2HMmDFER0eXa5swYYL1c1xcHJs3b2blypUVBsxbbrmFadOmARAQEMA777xDRkZGhQHz7rvvZsyYMQCMHTuWN954g4yMDEJCQvj00085cOAAH374ITfffDMA8+bNo2/fvhV+n2PHjvHYY4/Rrl07ANq0aWPte+utt+jQoQOzZs2ytr3xxhu0atWKHTt20K1bN9zd3XFzc8PHx6fC/YiISPX75z//yfjx4xk+fDgArVu3ZubMmYwdO5Y5c+aQn5+PyWQiOjqaFi1aABAYGGjdvkGDBri6ulb6b/yxY8cYMGAAHTt2BKBVq1bWvg8++ACLxcKiRYtwcnICYP78+QQEBLBu3ToGDhz4m/cjtZ8C5jV06dKl3LLZbObf//43H374Ifn5+ZSUlFBSUkJoaGiF47Rv377cctOmTTl16lSVt9m/fz/NmjWzhkuArl274uxc8d0Ojz76KBMmTCApKYlevXoxYMAAa9j86quv+Pzzz2nevPkV23377bd069atwrFFRMS+vvrqK3Jycnj55ZetbWVlZVy6dImTJ0/SsWNHwsLC6NGjB7179yYsLIzo6GgaNWp0XfsZN24cTzzxBJs2baJXr17ce++9dO7c2VrDkSNH8PX1LbfNxYsX+fbbb3//l5RaRQHzGho0aFBueeHChbzyyiv8/e9/JzAwkBtvvJHZs2dXGhZ//XCQk5MTFkvFD+5XtE1l217L1KlTGTp0KBs2bOCTTz7hhRde4KWXXuLBBx+krKyMPn36MHfu3Cu2a9y4cZX2JyIi1aesrIwpU6Zw3333XdHXqFEjXFxcWLVqFdnZ2XzyyScsW7aMWbNmkZKSYj0b+Vs89NBDhIeHs2HDBtLT0+nTpw+PP/44U6dOpaysjI4dO/L2229fsZ1uq3I8Cpi/0ZYtW4iIiCA2Nhb4Kejl5eVV6cnx3+OWW24hPz+f/Px8mjVrBsCOHTvKPTh0Lf7+/vj7+1t/gS5btowHH3yQTp06sWrVKvz8/K75tHy9evUwm802/S4iImIbnTp1Yv/+/eVuf/o1JycnQkJCCAkJsd7bv2rVKjp27Hhd/8Y3b96cuLg44uLimD9/Pq+//jpTp06lU6dOrFy5koYNG15zSiUdSxyHQz5FXhUBAQFs3ryZLVu2sH//fiZNmsTRo0ervY7evXvTtm1b4uPj2b17N9nZ2UybNg1XV1frPS+/dunSJZ566ikyMzM5cuQI27ZtY+vWrdxyyy0AjBo1isLCQh5++GG2bdvG4cOHSU9PZ+LEiRQVFQHQokULcnNzOXDgAGfOnMFkMlXbdxYRkYpNnjyZlStX8txzz7Fv3z7279/PmjVrmD59OgDZ2dm8+OKL5OTkcOzYMVJTU/nuu++sx4EWLVpw7Ngxdu7cyZkzZ6754OiUKVPYuHEjhw8fZteuXWzcuNE6xv3330+TJk144IEH+Oyzzzh8+DBZWVlMmzbN+iT5b92P1H4KmL/RpEmT6Nq1K/fffz/9+vWjfv363H///dVeh7OzM8uXL6e4uJjw8HDi4+N58skncXJyuuYcaC4uLhQUFBAfH09wcDDDhw8nODiY5557DoBmzZqxbt06nJ2dGTx4MN27d+epp56iXr16uLm5ATBixAjatWtH79698ff3Z+vWrdX2nUVEpGLh4eGsWLGCzz77jPDwcMLDw/n3v/9tvR/S09OTL774gpiYGLp168azzz7LpEmTrFPrDRgwgHvuuYfo6Gj8/f1ZuXLlVfdTVlbG5MmTuf322xk4cCBNmjSxTu5ev359UlNTadWqFXFxcYSEhBAfH09BQYH1jOZv3Y/Ufg75Jp+6Zvfu3dx1112kp6dbb7YWERERsRcFzFroo48+okGDBrRp04ajR48ybdo0LBYLmZmZ17xMLiIiIlJd9JBPLfTjjz8yc+ZMvvvuO7y8vAgNDWXevHkKlyIiIlIj6AymiIiIiNiUHvIREREREZuy+SXymx5+ydZDOqSzb06xdwl1hsVQvVMqVfb/wJnEJ6qpEhHHknKNuRfl+gw7vcveJdQZha4tqn2flf1/EFVQUC116AymiIiIiNiUAqaIiIiI2JQCpoiIiIiDys/Pp2fPnvj4+FBaWmptX7NmDe3bt7cur1ixgj59+hATE0NhYWGl4ypgioiIiDgob29vkpOTCQoKKteenJxM8+bNATCZTCQmJpKamkpMTAxLly6tdFwFTBEREREH5e7ubn2V58/WrVtHWFgYzs4/xcS8vDwCAwNxdXUlLCyM7OzsSsdVwBQRERERq6SkJOt76gHOnz+Ph4cH8NN77Qt+w5PoCpgiIiIiAkBGRgYhISHUq1fP2mY0GikqKgKgqKgIo9FY6TgKmCIiIiICQG5uLmlpaQwePJjc3Fzmzp1LQEAA+/btw2w2k56eTnBwcKXj6F3kIiIiIg7KZDIxZMgQ9uzZw6BBg5g+fTrjxo0DICIigmeffRaAESNGEBkZiZeXF4sXL650XAVMETvbt28fCQkJuLi40Lp1a1599VUWLlxIamoqfn5+LFq0CIPBwIoVK1iyZAne3t4sXrwYT09Pe5cuIiK1nMFgYM2aNVftW7t2rfVzbGwssbGxv3lcXSIXsbO2bduyfv160tLSANixYweZmZmsXbuW9u3bk5KSUqUpIkREROxFAVPEzgwGg/Wzm5sbeXl5hIaGAling6jKFBEiIiL2ooApUgOkpqZyxx13cOrUKUpLS6+YDqIqU0SIiIjYiwKmSA3Qr18/tmzZQrNmzXB1dbVOB1FYWIjRaKzSFBEiIiL2ooApYmfFxcXWz56enpjNZrKysoCf5iMLDg6u0hQRIiIi9qKnyEXsbOPGjbz66qsA+Pv7M23aNE6ePElERAS+vr7Ex8djMBiue4oIERERe3EqKCiw2HLAmx5+yZbDOayzb06xdwl1hsVgqtb9NXrqgwr7T/9zcDVVIuJYUn71PmWpmmGnd9m7hDqj0LVFte9zd9uK99nxwNFqqUOXyEVERETEphQwRURERMSmFDBFRERExKYUMEVERETEphQwRURERMSmFDBFRERExKYUMEVERETEphQwRURERMSmFDBFRERExKYUMEVERETEphQwRURERMSmFDBFRERExKYUMEVERETEphQwRURERBxUfn4+PXv2xMfHh9LSUg4fPkxkZCSRkZGMGjUKs9kMwIoVK+jTpw8xMTEUFhZWOq4CpoiIiIiD8vb2Jjk5maCgIAC8vLxISkoiLS2Nli1bsn79ekwmE4mJiaSmphITE8PSpUsrHVcBU0RERMRBubu74+XlZV328vKyLru4uODi4kJeXh6BgYG4uroSFhZGdnZ2peO6/mEVizioG7yb2LsEERFxUE0DmtpknPz8fDIyMpg8eTLbtm3Dw8MDAE9PTwoKCirdXmcwRURERMSquLiY+Ph4Xn75ZVxdXTEajRQVFQFQVFSE0WisdAwFTBERERGxmjhxIiNHjuTWW28FICAggH379mE2m0lPTyc4OLjSMepUwHxn4iCOvfUUZ5dPZd8r43nkz10BMLi68P6koeS9nkDph7Po1b5Vue2M9d15e/xATiRO4kTiJKbHhFV/8bXA+o1ruf+BQdwVfgf33d+fHTtzAPhy2xcMGTaQ0LvvYNxjo8n//oSdKxURqX7t/vpX+mZnE3P5Mt0TE6+6Tofp03nAYsEnPPyKPmeDgajcXO47duyPLrXWKCkxMW3eIu4eOI6ufx7OwBFPsXlLjrX/0uViZr24mO6RDxN0z0MMj/+bHautnUwmE9HR0ezZs4dBgwbx2Wef8fHHH/P6668TFRXFRx99hMFgYMSIEURGRpKUlERcXFyl49apezBf+DCT0a+uoaTUzC3NG7Fpdhw7D+Wz++gPZOUeZcFHW/nvpKFXbPevRyKo72bAf+x8mhgbsH7WCI6cKuCdT3ba4VvUTF98uZWFi15m3uwXaB/YgdNnTgNQUHCOyc88xbNPT+euO3vy+uJFPPO3p0lc/K6dKxYRqV4XT5xg79y5NOvbF5cbbrii/8Y2bWgxZAgXT1z9R/ifJk2i+IcfMNx44x9daq1RajbTtMlNvLtoNjf7NCJjSw4Jf3uJ5GUv4dusCdP//jpms5nU/8zH6HkjuQcO27vkWsdgMLBmzZpybcePH79ivdjYWGJjY3/zuHXqDOa+Y6coKf1pviaLxYIFaNO0IaZSMws+3krW10cxl5Vdsd29Qe345+rPuFRi4sipAhI35fDw3V2rufqa7Y23XmPUw2Po2OE2nJ2dadK4CU0aN+GTjE9o07oNf777Htzc3BgzchwH8vZz+Mi39i5ZRKRaHV+1iuNr1lB85sxV+4NeeYWdU6ZQVlJyRV+DVq1oNXw4e59//o8us1apf4M740fF4NusCc7OzvS+MwjfZk3Y+/UhDh35jk8+28bsp8fR0NuIi4sLHW71t3fJ8v9VegZz586dZGdnU1BQgNFoJDg4mC5dulRHbVWycEwUI3p3pr5bPXIOnSAt58Bv2s4Jp3Kf27fQk8A/M5vN5H69j56hvRg4dAAlJcX0uqs3Ex5L4NC3B2kX0M667g033EDz5r4cOnSQVi1b27FqEantatvxpyJ+Q4ZQVlLCibS0q/YHLVzIV888g/nSpWqurHY5fbaAw8fyadvaj137DnBz08YsXPI+a9ZupvFN3jw2cih9e3e3d5lCJWcwp06dyrJly/Dx8SEkJIRmzZrx3nvvMXny5Oqq77qNfzMFr7/Mo9czb7F6ay7FptJKt1m3I4/Jg0K50b0e/k0bEhfehfpuhmqotnY4e/YMpaWlfPLpRhYveov3lv6Xbw58zdtLl3Dp0kUa/Opyzo033siFixftVK2I1AW18fhzLa4NGtB53jy2JyRctd/3vvtwcnXl+OrV1VxZ7WIqLWXSzJe5LzKMNq2a8/0PZzhw6Cg3NqjP5uQ3+duTI5k69xUOHr7y8q5UvwrPYO7cuZO0X/3a6t+/P5GRkX9oUb9XWZmFrK+P8kCv2xjXN5hXUr+ocP2Et9J4eVQ/vn51AmeKLvF+5m5i7upYTdXWfG5u7gAMHRJLo0aNAfhLzHDeemcJXTp35cKFC+XWv3DhAg3q16/2Omurbdu28cwzz+Di4kLnzp15/vnnadGiBR07/vR3cPny5Xh7e7NixQqWLFmCt7c3ixcvxtPT086Vi/xxauvx52o6zprFt8uWceHw4Sv6XOrXp8s//kF6v37VX1gtUlZWxpRZCzAYXPnbkyMBcHerh8HVlfi4Ibi6uhDSpT0hXduT9cVX+LfytXPFUmHA7NKlC48//jhhYWF4eHhQVFRERkYGnTp1qq76fhdXF2faNG1Y6XrnfrzEQ/M/sC7P/Us42Qe++yNLq1U8PT1p0sQHJyenK/ratPYnJe0j6/KlS5c4/t1x2rTRfTC/lZ+fH8nJybi7uzN69Gj27t1LYGAgKSkp1nV++Zqu5ORkli5dyoQJE+xYtcgfq7Yff36paXg4N/j60vbRRwFwa9yY0BUr2PfCC+SvW0eDVq34c2YmAM716mEwGhmYn8/67t25cOSIPUuvESwWC9Pmvcbpc+d581/PYHD9KbrcEtDSzpVJRSq8RD5v3jzi4uI4deoUO3bs4NSpU4wYMYK///3v1VXfb9bY2IChd3aggXs9nJ2d6NPZn9jQjny6+xAA9VxdcDO4XvEZoI2PNw1vvAFnZyciugQw6p5uzFuZYZfvUVP17zeA91f+l7PnzlJYWEjSiv8Q2uMuevfszcFDB/nk040UFxezJPFN2vq31f2X18HHxwd395/OEv/8Wq5vvvmGyMhIZs6cicViqdJrukRqs9p0/PmZk4sLzm5uOLm4lPu8KTyc1A4dSOvcmbTOnbl04gRfjh3LgVdf5fyePaz287P2fTFqFJdPniStc2cuaroiAGa++CaHjhzntX88jbubm7U9qHMgzXwa8eayDyktNZOz62u+3LGX0Ns727Fa+VmlD/l06tSpVvxitFgsjIsIZtG4e3F2cuLIqfM88fZaPsr+BoB9r4ynVRNvANJmPASA/9h/c+RUAV39b+alRyLwauDO/hNneGj+B+w7dspu36UmGvXwaArOFzA4Npp69dy45+57eGTEKNzc3HjhuRd58aUXmD77Wdq378Bzs2vuAaAm27NnD2fPnuXWW28lJycHLy8vHn/8cdLS0mjYsOF1v6ZLpLarLcefn3V49lk6zpxpXW794IPsnjmT3bNmlVvPYjZTcu4cpf//9qLLJ09a+0rOnoWysnJtjuy7/FO8v3oD9eoZuKv/aGv7rMlj6N+3J6++MIVnn3+NxctWc3PTxrzwt/G0adXcjhXLz5wKCgosthzwpodfsuVwDuvsm1PsXUKdYTGYqnV/fs9lVth/bNpdV7SdO3eOBx54gKVLl+Lj42Nt37BhA7t27aJfv34sWbKEf/3rX5w7d47x48ezfPlym9cuUpuleHnZu4Q6YdjpXfYuoc4odG1R7fs8FRlSYX/jtC+rpY46NQ+mSG1UWlrKmDFjmDNnDj4+Ply4cAGz+af5XL/44gtat25dpdd0iYiI2EudepOPSG20evVqcnJymDFjBgAzZszgqaeeokGDBrRs2ZKpU6fi4uJifU2Xl5cXixcvtnPVIiIi16aAKWJnQ4YMYciQIeXaNm/efMV61/uaLhEREXtRwBSxsbZN9R5hERGxj4a31ozpm3QPpoiIiIjYlAKmiIiIiNiUAqaIiIiI2JQCpoiIiIjYlAKmiIiIiNiUAqaIiIiI2JQCpoiIiIjYlAKmiIiIiNiUAqaIiIiIg8rPz6dnz574+PhQWloKwIIFC4iIiGD06NGYTCYAVqxYQZ8+fYiJiaGwsLDScRUwRURERByUt7c3ycnJBAUFAXD69GkyMzNZu3Yt7du3JyUlBZPJRGJiIqmpqcTExLB06dJKx1XAFBEREXFQ7u7ueHl5WZe3b99OaGgoAGFhYWRnZ5OXl0dgYCCurq7WtsooYIqIiIgIAOfPn8fDwwMAT09PCgoKrtpWGQVMEREREQHAaDRSVFQEQGFhIUajsVxbUVERRqOx0nEUMEVEREQEgK5du5KVlQVARkYGwcHBBAQEsG/fPsxmM+np6QQHB1c6jgKmiIiIiIMymUxER0ezZ88eBg0axJEjR+jRowcRERHs3r2bqKgoDAYDI0aMIDIykqSkJOLi4iod1/WPL11EREREaiKDwcCaNWvKtQUFBZGQkFCuLTY2ltjY2N88rgKmiI11uKmBvUsQEREHVb+FZ4X9xdVUhy6Ri4iIiIhNKWCKiIiIiE0pYIqIiIiITSlgioiIiIhNKWCKiIiIiE0pYIrY2bZt2+jTpw+RkZFMnToVgAULFhAREcHo0aMxmUwArFixgj59+hATE0NhYaE9SxYREamQAqaInfn5+ZGcnExaWhqnT5/m888/JzMzk7Vr19K+fXtSUlIwmUwkJiaSmppKTEwMS5cutXfZIiIi16SAKWJnPj4+uLu7A+Di4sLevXsJDQ0FICwsjOzsbPLy8ggMDMTV1dXaJiIiUlNponWRGmLPnj2cPXsWo9GIi4sLAJ6enhQUFHD+/Hk8PDzKtYmIiNRUOoMpUgOcO3eOSZMmsXDhQoxGI0VFRQAUFhZiNBrLtRUVFWE0Gu1ZroiISIUUMEXsrLS0lDFjxjBnzhx8fHzo2rUrWVlZAGRkZBAcHExAQAD79u3DbDaTnp5OcHCwnasWERG5Nl0iF7Gz1atXk5OTw4wZMwCYMWMGPXr0ICIiAl9fX+Lj4zEYDIwYMYLIyEi8vLxYvHixnasWERG5NgVMETsbMmQIQ4YMKdcWEhJCQkJCubbY2FhiY2OrszQREZEq0SVyEREREbEpm5/BPPvmFFsP6ZBezTpk7xLqjEfD/OxdgohUg2Gnd9m7hDrB8tXH9i6h7uj2qL0rsBtdIhexsVu9brB3CSIi4qAMLZtU2F9cTXXoErmIiIiI2JQCpoiIiIjYlAKmiIiIiNiU7sEUERERcVAXL14kLi6OCxcu4OnpydKlS3njjTdITU3Fz8+PRYsWYTAYrntcncEUERERcVAbN26kW7dupKSk0K1bNz744AMyMzNZu3Yt7du3JyUlpUrjKmCKiIiIOKjWrVtTUlICwPnz5zl69CihoaEAhIWFkZ2dXaVxFTBFREREHJS/vz/btm2je/fu7NixgzZt2uDh4QGAp6cnBQUFVRpXAVNERETEQSUlJREeHs7WrVvp27cvpaWlFBUVAVBYWIjRaKzSuAqYIiIiIg7KYrHg5eUFQMOGDTl69ChZWVkAZGRkEBwcXKVx9RS5iIiIiIMaMmQIjzzyCO+//z4Gg4HExETeeecdIiIi8PX1JT4+vkrjKmCKiIiIOCgvLy8+/PDDcm0JCQkkJCT8rnF1iVxEREREbEoBU0RERERsSgFTRERERGxKAVNEREREbEoBU0RERERsSk+Ri9iYv/EGe5cgIiIOyqmln71LAHQGU0RERERsTAFTRERERGxKAVNEREREbEoBU0RERERsSgFTpAbIz8+nZ8+e+Pj4UFpaCkCLFi2IiooiKiqKc+fOAbBixQr69OlDTEwMhYWF9ixZRETkmhQwRWoAb29vkpOTCQoKsrYFBgaSkpJCSkoK3t7emEwmEhMTSU1NJSYmhqVLl9qvYBERkQooYIrUAO7u7nh5eZVr++abb4iMjGTmzJlYLBby8vIIDAzE1dWVsLAwsrOz7VStiIhIxRQwRWqonJwcUlNTKSgoIC0tjfPnz+Ph4QGAp6cnBQUFdq5QRETk6hQwRWoob29vnJyciIqKIjc3F6PRSFFREQBFRUUYjUY7VygiInJ1CpgiNdCFCxcwm80AfPHFF7Ru3ZqAgAD27duH2WwmPT2d4OBgO1cpIiJydQqYIjWAyWQiOjqaPXv2MGjQIHJzc+nduzeRkZEcP36c6OhoDAYDI0aMIDIykqSkJOLi4uxdtoiIyFXpXeQiNYDBYGDNmjXl2jZv3nzFerGxscTGxlZXWSIiIlWiM5giIiIiYlMKmCIiIiJiUwqYIiIiIg4sKSmJAQMGEBUVxYkTJ1iwYAERERGMHj0ak8lUpTF1D6aIjbUyutu7BBERcVQ3Nbqu1U+cOEFWVhbJyckAnD59mszMTNauXcv8+fNJSUnhvvvuu+4ydAZTRERExEFt2rQJs9nMgAEDmDRpEtu3byc0NBTgd701TgFTRERExEGdOnUKk8lEcnIy9evXt9lb4+rsJfKef+5Rbrm4uJghA+9n0hNPs3vPLl5fvIivv8nF2cWZbl2CeCphMo0aNbZTtTVLblYqedvSOff9EVp3DuWumPEAHMzZzJYP37CuZ7GUYTaVcO+Ef9DI15896avJ257Oj+dO4d7Ak1vv6EuHsOs/rS4iUhdMmvkyW7fv5uKlYhrd5MWov0Rz/4A/U2Iy8dSMl9nz9UFOfH+Kd16Zye1dO9i73BotJfsQi1K/Iv/sBRp53sC8h0LJP/cjM/+zxbpOWZmFyyYzK5++l/Ytr+8ysSPz9PTkzjvvBKBnz57s2LEDg8EAQGFhYZXfGldnA+bmjZ9bP1+6dIm+/cMJv/seAAqLChkYPZjut9+Bq4sL/3jpBWbNm8nCl6xjqtYAAAnfSURBVF61V7k1Sn3PhtwWPpgT+3dSaiqxtvt37Yl/157W5QPbPmHXxpXc1LwNABbgrpgJeDdrSdGZ71m/ZDb1vRrRpnNodX8FERG7G/PQIJ575lHq1TNw6PB3PPTYDP7UrjXt/FvQrdOtjIiJIuHZf9m7zBovK/cE/1q9nZdG9uK2Vo05VXgRgKC2PvQP8beut2rLAV5L3UVgi5vsVWqtFBISwrvvvgvA7t27ad68OatWrWLixIlkZGRU+a1xdTZg/tKmTzfg7d2QLp26AnDnHeUDz9DBMYz96yh7lFYjtezYHYAzxw9Sev7MNdc7uC0d/25hODk5AdDxF2crjU2a06J9CD8c/loBU0QcUts2fv9bcAInJzj23Uk63OrPiJh7AXB21p1qlXnl4x082q8Tnds0AcDHq8FV11u99SDRt/tbj0ny29x22224u7sTFRXFTTfdxJIlSzh58iQRERH4+voSHx9fpXGrFDBzcnLo2rVrlXZoDylpHxMVce81/9Ll7MyhTWv/q/bJ1f147gdOfpvLnUP/etV+i8XCyW9zaXf7PdVcmYjUdbXpGDTrxcWsSv2Uy8UlBLZrTc87uti7pFrFXFbG3iNnuPs2P/pO/4Bik5nwTi2YNCgI93r/izDfnfmRbQdO8tyDd9qx2tpr7ty55ZYTEhJISEj4XWNW+NOprKzsij9ms5nZs2f/rp1Wp++/zydn53aiIvtftf9A3n7eSnyTCX/9ff8hHc3B7Rk0af0nPBr6XLV/54b3sVjKaBt8dzVXJiJ1RV04Bs2YNJrtG5fx3mtzuKfX7dSrZ7B3SbXKmcLLmMxlrMs5wrInI1k1bQC5x87yetqucuut+eIg3QKa4NvIw06Vyq9VeAazefPmBAUFYbFYrGf/LBYLe/furZbibCFl7cd0uq0zzW9ufkXfseNHmfjkYzyZMIkunWvHr+GaIm97OrfdPfiqfblZqRzcnkFk/FxcXPWPqYhUTV04BgG4uLjQrdOfSF63maQP1/HQ0Ch7l1RruBlcABge9ieaGOsDEBceyOtpu0iI/t9xe83WPMZG3GaXGuXqKgyY7dq1Y/ny5Vc8QVSVCTftJXXtx4wY/vAV7fnfn+CvE8cxMm40/SLutUNltdfJw19zqfAcrTrecUXfgexN7E5fReS4OTTw0o3WIlJ1deEY9EtmcxnHvjtp7zJqFWMDN5p614cKbqvMOXiSU+cv0bdrq2qrSypX4SXy999/nxtuuOGK9pUrV/5hBdnSV7t38sOpHwjvXf4+wB9O/UD8+LHcPyiGwQPvt1N1NVeZ2UypqQSLpQyLpYxSUwllZrO1/+C2T2nZsTsG9/J/Nw7mbGZ72n/oM2oGHjc1re6yRaSOqc3HoDNnz5Oy4TMuXLyE2Wwmc+tOUjZ8RvduP01HVFJiorj4p1k6TKZSiotLsFgs9iy5xhp4R1veS8/lTOElzl8o5t1P9tGro6+1f/XWg9zTpSUN3HXFrCap8Axm06ZXDwmurrXj4fOUtI/p3SucBg3KP3G25qNVfHfiOIsT32Bx4v/mdfzl1EaO7KtNK/lq4wrr8qGczXT681C69Imh1FTCt7s+p/eDk67Ybse6JIovFvHxwinWtjZdetJj8NhqqVtE6pbafAxycoKkVeuZ+eKblJVZuLlpY6ZOjCO8ZwgAEbETOPH9KQBGPf7TAxYbP1iEb7Mmdqu5porv14lzP14mcuaHuBlciOjamnGRP10OLzaVsnb7t7w8predq5RfcyooKLDpTyYnk35B2MKrWYfsXUKd8WiYX+Ur2dA3h36ssP+WNjdWUyUijsWz9Ki9S6gTLF99bO8S6oyibo9W+z49Dq+osL+o1dBqqUMTcImIiIiITSlgioiIiIhNKWCKiIiIiE0pYIqIiIiITdX8R/FEahkf45XTqoiIiFQHJ+OVL5axB53BFBERERGbUsAUEREREZtSwBQRERERm1LAFKkB8vPz6dmzJz4+PpSWlgKwYMECIiIiGD16NCaTCYAVK1bQp08fYmJiKCwstGfJIiIi16SAKVIDeHt7k5ycTFBQEACnT58mMzOTtWvX0r59e1JSUjCZTCQmJpKamkpMTAxLly61b9EiIiLXoIApUgO4u7vj5eVlXd6+fTuhoaEAhIWFkZ2dTV5eHoGBgbi6ulrbREREaiIFTJEa6Pz583h4eADg6elJQUHBVdtERERqIgVMkRrIaDRSVFQEQGFhIUajsVxbUVERRqPRniWKiIhckwKmSA3UtWtXsrKyAMjIyCA4OJiAgAD27duH2WwmPT2d4OBgO1cpIiJydQqYIjWAyWQiOjqaPXv2MGjQII4cOUKPHj2IiIhg9+7dREVFYTAYGDFiBJGRkSQlJREXF2fvskVEpI545ZVXiIiIAK4+i8n10qsiRWoAg8HAmjVryrUFBQWRkJBQri02NpbY2NjqLE1EROq44uJi9uzZA5SfxWT+/PmkpKRw3333XfeYOoMpIiIi4sDeffddhg0bBlx9FpOqUMAUERERcVAmk4msrCx69eoFXH0Wk6pQwBQRERFxUP/9738ZMmSIdflqs5hUhQKmiIiIiIPKy8vj7bffZvDgweTm5rJjx44rZjGpCj3kI2Jj3p7uFfZbqNoTeSIiIpXy8Luu1WfNmmX9HBERwdNPP838+fOJiIjA19eX+Pj4KpWhgCkiIiIirF27FoCEhIQrZjG5XrpELiIiIiI2pYApIiIiIjalgCkiIiIiNqWAKSIiIiI2pYApIiIiIjalgCkiIiIiNqWAKSIiIiI2pYApIiIiIjalgCkiIiIiNqWAKSIiIiI2pYApIiIiIjalgCkiIiIiNqWAKSIiIiI2pYApIiIiIjblVFBQYLF3ESIiIiJSd+gMpoiIiIjYlAKmiIiIiNiUAqaIiIiI2JQCpoiIiIjYlMMFzKlTpxIZGcmUKVPsXUqtlp+fT8+ePfHx8aG0tNTe5YiI1Ao6Bv1+Ov7UDg4VMHfu3MnFixdJS0vDZDKRk5Nj75JqLW9vb5KTkwkKCrJ3KSIitYKOQbah40/t4FABMzs7m7CwMAB69epFdna2fQuqxdzd3fHy8rJ3GSIitYaOQbah40/t4FAB8/z583h4eABgNBopKCiwc0UiIuIodAwSR+JQAdNoNFJUVARAYWEhRqPRzhWJiIij0DFIHIlDBczg4GAyMjIAyMjIIDg42M4ViYiIo9AxSByJQwXMzp074+bmRmRkJM7OznTr1s3eJdVaJpOJ6Oho9uzZw6BBg9i2bZu9SxIRqdF0DLINHX9qB72LXERERERsyqHOYIqIiIjIH08BU0RERERsSgFTRERERGxKAVNEREREbEoBU0RERERsSgFTRERERGxKAVNEREREbOr/Acut6tBv/Nv2AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14,3))\n", "plt.subplot(1,2,1)\n", "hm = sns.heatmap(cm_train,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 12},cmap = sns.color_palette(\"PuBu\", 10))\n", "plt.title('Training set', fontsize=14)\n", "plt.subplot(1,2,2)\n", "hm = sns.heatmap(cm_test,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 12},cmap = sns.color_palette(\"OrRd\", 10))\n", "plt.title('Test set', fontsize=14)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [], "source": [ "m_train = precision_recall_fscore_support(y_train,p_train)\n", "m_test = precision_recall_fscore_support(y_test,p_test)" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TRAINING SET\n", "Precision class 0 = 0.8159\n", "Precision class 1 = 0.7414\n", "Recall class 0 = 0.8417\n", "Recall class 1 = 0.7049\n", "F-score class 0 = 0.8286\n", "F-score class 1 = 0.7227\n", "Accuracy = 0.7881\n" ] } ], "source": [ "print('TRAINING SET')\n", "print('Precision class 0 = {0:5.4f}'.format(m_train[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m_train[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m_train[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m_train[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m_train[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m_train[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p_train,y_train)))" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TEST SET\n", "Precision class 0 = 0.8229\n", "Precision class 1 = 0.7204\n", "Recall class 0 = 0.8471\n", "Recall class 1 = 0.6837\n", "F-score class 0 = 0.8348\n", "F-score class 1 = 0.7016\n", "Accuracy = 0.7873\n" ] } ], "source": [ "print('TEST SET')\n", "print('Precision class 0 = {0:5.4f}'.format(m_test[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m_test[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m_test[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m_test[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m_test[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m_test[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p_test,y_test)))" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC:0.827\n" ] } ], "source": [ "y_prob = clf.predict_proba(X_train)\n", "print('AUC:{0:3.3f}'.format(roc_auc_score(y_train, y_prob[:,1])))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A more stable evaluation can be obtained by cross validation (here 7-fold)" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [], "source": [ "scores = cross_validate(estimator=clf, X=X, y=y, cv=7, scoring=('precision', 'recall', 'accuracy', 'f1', 'roc_auc'),\n", " return_train_score=True)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC:0.813\n" ] } ], "source": [ "print('AUC:{0:3.3f}'.format(scores['test_roc_auc'].mean()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us now consider the reduced dataset with selected features" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [], "source": [ "clf = Pipeline([('scaler', StandardScaler()),('features', FunctionTransformer(select_columns)),\n", " ('classifier', GaussianNB())])" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [], "source": [ "scores = cross_validate(estimator=clf, X=X, y=y, cv=7, scoring=('precision', 'recall', 'accuracy', 'f1', 'roc_auc'),\n", " return_train_score=True)" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC:0.819\n" ] } ], "source": [ "print('AUC:{0:3.3f}'.format(scores['test_roc_auc'].mean()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And also the one reduced by PCA, with 8 components" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [], "source": [ "clf = Pipeline([('scaler', StandardScaler()),('features', PCA(n_components=8)),\n", " ('classifier', GaussianNB())])" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [], "source": [ "scores = cross_validate(estimator=clf, X=X, y=y, cv=7, scoring=('precision', 'recall', 'accuracy', 'f1', 'roc_auc'),\n", " return_train_score=True)" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC:0.818\n" ] } ], "source": [ "print('AUC:{0:3.3f}'.format(scores['test_roc_auc'].mean()))" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [], "source": [ "clf = clf.fit(X,y)" ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Optimal threshold: 0.371\n" ] } ], "source": [ "fpr, tpr, thresholds = roc_curve(y, clf.predict_proba(X)[:,1], pos_label=1)\n", "optimal_idx = np.argmax(tpr-fpr)\n", "optimal_threshold = thresholds[optimal_idx]\n", "pred_proba_df = pd.DataFrame(clf.predict_proba(X)[:,1])\n", "p = pred_proba_df.applymap(lambda x: 1 if x>optimal_threshold else 0)\n", "print('Optimal threshold: {0:3.3f}'.format(optimal_threshold))" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot Predictions Vs Actual\n", "y_prob = clf.predict_proba(X)\n", "c = list(y.apply(lambda x: colors[1] if x==1 else colors[2]))\n", "plt.figure(figsize=(18,10))\n", "plt.scatter(range(y_prob.shape[0]), y_prob[:,1], color=c, s = 20, marker='o', alpha=.7)\n", "plt.plot(range(y_prob.shape[0]), y, color=colors[0], ms = 4, marker='o', linestyle=' ', alpha=.7)\n", "plt.axhline(y=optimal_threshold, xmin=0, xmax=1, linewidth=2, linestyle='dashed', color=colors[9])\n", "plt.xlim(1,y_prob.shape[0])\n", "plt.title('Survived: Blue: \\nPerished: Red');\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y,p)\n", "plt.figure(figsize=(14,3))\n", "hm = sns.heatmap(cm,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 14},\n", " cmap = sns.color_palette(\"PuBu\", 10))\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision class 0 = 0.8270\n", "Precision class 1 = 0.7398\n", "Recall class 0 = 0.8361\n", "Recall class 1 = 0.7270\n", "F-score class 0 = 0.8315\n", "F-score class 1 = 0.7333\n", "Accuracy = 0.7935\n" ] } ], "source": [ "m = precision_recall_fscore_support(p,y)\n", "print('Precision class 0 = {0:5.4f}'.format(m[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p,y)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Logistic regression" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [], "source": [ "clf = Pipeline([('scaler', StandardScaler()),('classifier', LogisticRegression())])" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [], "source": [ "scores = cross_validate(estimator=clf, X=X, y=y, cv=7, scoring=('precision', 'recall', 'accuracy', 'f1', 'roc_auc'),\n", " return_train_score=True)" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AUC:0.849\n" ] } ], "source": [ "print('AUC:{0:3.3f}'.format(scores['test_roc_auc'].mean()))" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy:0.800\n" ] } ], "source": [ "print('Accuracy:{0:3.3f}'.format(scores['test_accuracy'].mean()))" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [], "source": [ "clf = clf.fit(X,y)" ] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Optimal threshold: 0.358\n" ] } ], "source": [ "fpr, tpr, thresholds = roc_curve(y, clf.predict_proba(X)[:,1], pos_label=1)\n", "optimal_idx = np.argmax(tpr-fpr)\n", "optimal_threshold = thresholds[optimal_idx]\n", "pred_proba_df = pd.DataFrame(clf.predict_proba(X)[:,1])\n", "p = pred_proba_df.applymap(lambda x: 1 if x>optimal_threshold else 0)\n", "print('Optimal threshold: {0:3.3f}'.format(optimal_threshold))" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot Predictions Vs Actual\n", "y_prob = clf.predict_proba(X)\n", "c = list(y.apply(lambda x: colors[1] if x==1 else colors[2]))\n", "plt.figure(figsize=(18,10))\n", "plt.scatter(range(y_prob.shape[0]), y_prob[:,1], color=c, s = 20, marker='o', alpha=.7)\n", "plt.plot(range(y_prob.shape[0]), y, color=colors[0], ms = 4, marker='o', linestyle=' ', alpha=.7)\n", "plt.axhline(y=optimal_threshold, xmin=0, xmax=1, linewidth=2, linestyle='dashed', color=colors[9])\n", "plt.xlim(1,y_prob.shape[0])\n", "plt.title('Survived: Blue: \\nPerished: Red');\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y,p)\n", "plt.figure(figsize=(14,3))\n", "hm = sns.heatmap(cm,cbar=True,annot=True,square=True,fmt='d',annot_kws={'size': 14},\n", " cmap = sns.color_palette(\"PuBu\", 10))\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision class 0 = 0.8015\n", "Precision class 1 = 0.7895\n", "Recall class 0 = 0.8594\n", "Recall class 1 = 0.7124\n", "F-score class 0 = 0.8294\n", "F-score class 1 = 0.7490\n", "Accuracy = 0.7969\n" ] } ], "source": [ "m = precision_recall_fscore_support(p,y)\n", "print('Precision class 0 = {0:5.4f}'.format(m[0][0]))\n", "print('Precision class 1 = {0:5.4f}'.format(m[0][1]))\n", "print('Recall class 0 = {0:5.4f}'.format(m[1][0]))\n", "print('Recall class 1 = {0:5.4f}'.format(m[1][1]))\n", "print('F-score class 0 = {0:5.4f}'.format(m[2][0]))\n", "print('F-score class 1 = {0:5.4f}'.format(m[2][1]))\n", "print('Accuracy = {0:5.4f}'.format(accuracy_score(p,y)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Regularization\n", "Let us introduce a regularization component, with an associated coefficient $C$" ] }, { "cell_type": "code", "execution_count": 148, "metadata": {}, "outputs": [], "source": [ "domain = np.linspace(0.1,10,100)\n", "param_grid = [{'classifier__C': domain, 'classifier__penalty': ['l1','l2']}]\n", "scoring = {'AUC': 'roc_auc', 'Accuracy': make_scorer(accuracy_score)}\n", "p = Pipeline([('scaler', StandardScaler()),('classifier', LogisticRegression(solver='liblinear'))])\n", "\n", "clf = GridSearchCV(p, param_grid, cv=5, scoring=scoring, refit='AUC', return_train_score=True)\n", "clf = clf.fit(X,y)" ] }, { "cell_type": "code", "execution_count": 149, "metadata": {}, "outputs": [], "source": [ "results = clf.cv_results_" ] }, { "cell_type": "code", "execution_count": 150, "metadata": {}, "outputs": [], "source": [ "df_results = pd.DataFrame(results)" ] }, { "cell_type": "code", "execution_count": 151, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 8))\n", "dd = df_results[df_results.param_classifier__penalty=='l1']\n", "X_axis = np.array(dd['param_classifier__C'])\n", "\n", "mn = 10000\n", "mx = 0\n", "for scorer, color in zip(sorted(scoring), [colors[0], colors[1]]):\n", " for sample, style in (('train', '--'), ('test', '-')):\n", " mean = dd['mean_%s_%s' % (sample, scorer)]\n", " std = dd['std_%s_%s' % (sample, scorer)]\n", " #plt.fill_between(X_axis, mean-std, mean+std,alpha=0.3 if sample == 'test' else 0, color=color)\n", " plt.plot(X_axis, mean, style, color=color,\n", " alpha=1 if sample == 'test' else 0.7,\n", " label=\"%s (%s)\" % (scorer, sample))\n", " mn = min(mn, min(mean-std))\n", " mx = max(mx, max(mean+std))\n", " scores = np.array(dd['mean_test_%s'% scorer])\n", " best_index = scores.argmax()\n", " best_score = scores[best_index]\n", " plt.plot([X_axis[best_index], ] * 2, [0, best_score],\n", " linestyle='-.', color=color, marker='x', markeredgewidth=3, ms=8)\n", "\n", " plt.annotate(\"%0.3f\" % best_score, (X_axis[best_index], best_score + 0.002))\n", "\n", "plt.xlabel(\"$C$\")\n", "plt.ylabel(\"Score\")\n", "\n", "plt.xlim(0.1, 10)\n", "plt.ylim(mn, mx)\n", "plt.legend()\n", "plt.title(\"Scores for train and test set, L1 penalty\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 154, "metadata": {}, "outputs": [], "source": [ "domain = np.linspace(0.01,1,100)\n", "param_grid = [{'classifier__C': domain, 'classifier__penalty': ['l1','l2']}]\n", "scoring = {'AUC': 'roc_auc', 'Accuracy': make_scorer(accuracy_score)}\n", "p = Pipeline([('scaler', StandardScaler()),('classifier', LogisticRegression(solver='liblinear'))])\n", "\n", "clf = GridSearchCV(p, param_grid, cv=5, scoring=scoring, refit='AUC', return_train_score=True)\n", "clf = clf.fit(X,y)" ] }, { "cell_type": "code", "execution_count": 155, "metadata": {}, "outputs": [], "source": [ "results = clf.cv_results_" ] }, { "cell_type": "code", "execution_count": 156, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_results = pd.DataFrame(results)\n", "plt.figure(figsize=(16, 8))\n", "dd = df_results[df_results.param_classifier__penalty=='l1']\n", "X_axis = np.array(dd['param_classifier__C'])\n", "\n", "mn = 10000\n", "mx = 0\n", "for scorer, color in zip(sorted(scoring), [colors[0], colors[1]]):\n", " for sample, style in (('train', '--'), ('test', '-')):\n", " mean = dd['mean_%s_%s' % (sample, scorer)]\n", " std = dd['std_%s_%s' % (sample, scorer)]\n", " plt.plot(X_axis, mean, style, color=color,\n", " alpha=1 if sample == 'test' else 0.7,\n", " label=\"%s (%s)\" % (scorer, sample))\n", " mn = min(mn, min(mean-std))\n", " mx = max(mx, max(mean+std))\n", " scores = np.array(dd['mean_test_%s'% scorer])\n", " best_index = scores.argmax()\n", " best_score = scores[best_index]\n", " plt.plot([X_axis[best_index], ] * 2, [0, best_score],\n", " linestyle='-.', color=color, marker='x', markeredgewidth=3, ms=8)\n", "\n", " plt.annotate(\"%0.3f\" % best_score, (X_axis[best_index], best_score + 0.002))\n", "\n", "plt.xlabel(\"$C$\")\n", "plt.ylabel(\"Score\")\n", "\n", "plt.xlim(0.01, 1)\n", "plt.ylim(mn, mx)\n", "plt.legend()\n", "plt.title(\"Scores for train and test set, L1 penalty\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 158, "metadata": {}, "outputs": [], "source": [ "domain = np.linspace(0.05,0.25,100)\n", "param_grid = [{'classifier__C': domain, 'classifier__penalty': ['l1','l2']}]\n", "scoring = {'AUC': 'roc_auc', 'Accuracy': make_scorer(accuracy_score)}\n", "p = Pipeline([('scaler', StandardScaler()),('classifier', LogisticRegression(solver='liblinear'))])\n", "\n", "clf = GridSearchCV(p, param_grid, cv=5, scoring=scoring, refit='AUC', return_train_score=True)\n", "clf = clf.fit(X,y)\n", "\n", "results = clf.cv_results_" ] }, { "cell_type": "code", "execution_count": 159, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_results = pd.DataFrame(results)\n", "plt.figure(figsize=(16, 8))\n", "dd = df_results[df_results.param_classifier__penalty=='l1']\n", "X_axis = np.array(dd['param_classifier__C'])\n", "\n", "mn = 10000\n", "mx = 0\n", "for scorer, color in zip(sorted(scoring), [colors[0], colors[1]]):\n", " for sample, style in (('train', '--'), ('test', '-')):\n", " mean = dd['mean_%s_%s' % (sample, scorer)]\n", " std = dd['std_%s_%s' % (sample, scorer)]\n", " plt.plot(X_axis, mean, style, color=color,\n", " alpha=1 if sample == 'test' else 0.7,\n", " label=\"%s (%s)\" % (scorer, sample))\n", " mn = min(mn, min(mean-std))\n", " mx = max(mx, max(mean+std))\n", " scores = np.array(dd['mean_test_%s'% scorer])\n", " best_index = scores.argmax()\n", " best_score = scores[best_index]\n", " plt.plot([X_axis[best_index], ] * 2, [0, best_score],\n", " linestyle='-.', color=color, marker='x', markeredgewidth=3, ms=8)\n", "\n", " plt.annotate(\"%0.3f\" % best_score, (X_axis[best_index], best_score + 0.002))\n", "\n", "plt.xlabel(\"$C$\")\n", "plt.ylabel(\"Score\")\n", "\n", "plt.xlim(0.05, 0.25)\n", "plt.ylim(mn, mx)\n", "plt.legend()\n", "plt.title(\"Scores for train and test set, L1 penalty\", fontsize=14)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8", "language": "python", "name": "python3.8" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 2 }