Scikit learn random forest classifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
X, y = make_classification(n_samples=1000, n_features=4,
n_informative=2, n_redundant=0,
random_state=0, shuffle=False)
clf = RandomForestClassifier(max_depth=2, random_state=0)
clf.fit(X, y)
print(clf.predict([[0, 0, 0, 0]]))random forest classifier classification report
# View the classification report for test data and predictions
print(classification_report(y_test, y_pred_test))Copyright © 2021 Codeinu
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