AirBnB post: PCA results

airbnb_post_6.py

pca = PCA(n_components=400, random_state=1024);
pca.fit(l_X)

listings_pca = pca.transform(l_X);
l_X_p_train, l_X_p_test, l_y_p_train, l_y_p_test = train_test_split(listings_pca, l_y, test_size=0.33, random_state=1024)

rf_classifier_2 = RandomForestRegressor(n_estimators=100, criterion='mse', random_state=1024);
rf_classifier_2.fit(l_X_p_train, l_y_p_train)

l_y_p_pred = rf_classifier_2.predict(l_X_p_test);
l_y_p_pred_tr = rf_classifier_2.predict(l_X_p_train);

print(math.sqrt(mean_squared_error(l_y_p_test, l_y_p_pred)))
print(math.sqrt(mean_squared_error(l_y_p_train, l_y_p_pred_tr)))