Machine Learning, Regression, Sklearn, Hyperparameter Tuning, Python.
value of the model trained with the optimized hyperparameters was 0.9841887483775549, which represents an extremely strong positive correlation. Thus, based on the given dataset, the model does a good job of predicting house price index based on the provided independent variables. References [1]