x train is not defined please help

[nafis280795]

def _train_random_forest(X_train, y_train, X_test, y_test):

"""
Function that uses random forest classifier to train the model
:return:
"""

# Create a new random forest classifier
rf = RandomForestClassifier()

# Dictionary of all values we want to test for n_estimators
params_rf = {'n_estimators': [110,130,140,150,160,180,200]}

# Use gridsearch to test all values for n_estimators
rf_gs = GridSearchCV(rf, params_rf, cv=5)

# Fit model to training data
rf_gs.fit(X_train, y_train)

# Save best model
rf_best = rf_gs.best_estimator_

# Check best n_estimators value
print(rf_gs.best_params_)

prediction = rf_best.predict(X_test)

print(classification_report(y_test, prediction))
print(confusion_matrix(y_test, prediction))

return rf_best

rf_model = _train_random_forest(X_train, y_train, X_test, y_test)

[Priyanka32-gif]

X, y = np.arange(10).reshape((5, 2)), range(5) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.33, random_state=42)

before .fit(X_train, y_train) run this code. it may help, because I had same problem and it get solved