How to reduce gap between train and test scores for different machine learning models?
I am using multiple machine learning models for AQI prediction. Data is in daily format and there are 1850 records. I am getting train R2 score at around 99 and test score at around 91. Is this gap okay? If not, How can i improve my test score?
How to reduce gap between train and test accuracies for different machine learning models?
I am using multiple machine learning models for AQI prediction. Data is in daily format and there are 1850 records. I am getting train accuracies at around 99 and test accuracy at around 91. Is this gap okay? If not, How can i improve my test accuracies?