decisiontreeclassifier sklearn
from sklearn.tree import DecisionTreeClassifierdecisiontreeclassifier sklearn
from sklearn.tree import DecisionTreeClassifierscikit decision tree classifier gini criterion
from sklearn.tree import DecisionTreeClassifier
from sklearn import metrics
# Max depth Decision tree classifier using gini criterion
clf_gini_max = DecisionTreeClassifier(random_state=50, criterion='gini', max_depth=None)
clf_gini_max = clf_gini_max.fit(X_train,Y_train)
Y_pred = clf_gini_max.predict(X_test)
training_accuracy = clf_gini_max.score(X_train,Y_train)
testing_accuracy = clf_gini_max.score(X_test,Y_test)
print(training_accuracy)
print(testing_accuracy)scikit learn decision tree
from sklearn import tree
X = [[0, 0], [1, 1]]
Y = [0, 1]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(X, Y)Copyright © 2021 Codeinu
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