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Created November 11, 2019 11:47
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def fit(train_X, train_y):
rf_model = RandomForestRegressor(random_state=1, n_estimators=10), train_y)
return rf_model
def validate(model, val_X, val_y):
rf_val_predictions = model.predict(val_X)
return mean_absolute_error(rf_val_predictions, val_y)
rf_model = fit(train_X, train_y)
rf_val_mae = validate(rf_model, val_X, val_y)
print("Validation MAE for Random Forest Model: {:,.0f}".format(rf_val_mae))
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