multivariate classification python
import sklearn as sk
from sklearn.ensemble import RandomForestClassifier
RF = RandomForestClassifier(n_estimators=100, max_depth=2, random_state=0)
RF.fit(X, y)
RF.predict(X.iloc[460:,:])
round(RF.score(X,y), 4)multivariate classification python
import sklearn as sk
from sklearn.ensemble import RandomForestClassifier
RF = RandomForestClassifier(n_estimators=100, max_depth=2, random_state=0)
RF.fit(X, y)
RF.predict(X.iloc[460:,:])
round(RF.score(X,y), 4)Copyright © 2021 Codeinu
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