from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score
# Assuming X is your feature data and y is your target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) z5pHwQybCwiXFwWqMv3v.zip
model = RandomForestClassifier() model.fit(X_train, y_train) from sklearn