In [10]: import pandas as pd import numpy as np from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split, GridSearchCV from sklearn import metrics np.random.seed(66) # Load dataset and preprocessing churn = pd.read_csv('https://raw.githubusercontent.com/yhat/demo-churn-pred/master/model/churn.csv') churn.columns churn["Int'l Plan"] = churn["Int'l Plan"]. map(dict(yes=1, no=0)) churn['VMail Plan'] = churn['VMail Plan'].replace({"yes": 1, "no": 0}) churn.select_dtypes('object').columns churn.drop(['State', 'Phone'], inplace=True, axis=1) # sklearn expects all numerical attributes In [12]: I # Model Training X = churn.drop('Churn?', axis=1) y = churn[' Churn?'] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1) print(f"train data size is {X_train.shape}") clf = DecisionTreeClassifier() clf train data size is (2333, 18) Out[12]: DecisionTreeClassifier()

In [10]: import pandas as pd import numpy as np from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split, GridSearchCV from sklearn import metrics np.random.seed(66) # Load dataset and preprocessing churn = pd.read_csv('https://raw.githubusercontent.com/yhat/demo-churn-pred/master/model/churn.csv') churn.columns churn["Int'l Plan"] = churn["Int'l Plan"]. map(dict(yes=1, no=0)) churn['VMail Plan'] = churn['VMail Plan'].replace({"yes": 1, "no": 0}) churn.select_dtypes('object').columns churn.drop(['State', 'Phone'], inplace=True, axis=1) # sklearn expects all numerical attributes In [12]: I # Model Training X = churn.drop('Churn?', axis=1) y = churn[' Churn?'] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1) print(f"train data size is {X_train.shape}") clf = DecisionTreeClassifier() clf train data size is (2333, 18) Out[12]: DecisionTreeClassifier()

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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