ランダムフォレスト

ランダムフォレスト

勉強中です。

ランダムフォレストsklearn

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
X = load_iris().data
y = load_iris().target

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1)

from sklearn.ensemble import RandomForestClassifier

forest = RandomForestClassifier(criterion='gini', n_estimators=25, random_state=1, n_jobs=2)

forest.fit(X_train, y_train)

accuracy_score(forest.predict(X_test), y_test)