decision tree algorithm
from sklearn.datasets import load_iris
>>> from sklearn import tree
>>> X, y = load_iris(return_X_y=True)
>>> clf = tree.DecisionTreeClassifier()
>>> clf = clf.fit(X, y)decision tree algorithm
from sklearn.datasets import load_iris
>>> from sklearn import tree
>>> X, y = load_iris(return_X_y=True)
>>> clf = tree.DecisionTreeClassifier()
>>> clf = clf.fit(X, y)decision trees
Training Data Set Accuracy: 0.9610705596107056
Training Data F1 Score 0.972027972027972
Validation Mean F1 Score: 0.6348494236272646
Validation Mean Accuracy: 0.7030561269468117Copyright © 2021 Codeinu
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