I believe it is important to detect and take care of the outliers, and we can see whether we are getting better scores or not. I worked on the outliers and used a statistics method called cooked distance to identify the outliers. In total I got 10 outliers. I have inserted a screenshot below, and so basically anything above the red line (which is 4 / number of obs) will be identified as outliers.
Since the rain variable has mostly values of 0, we decided to remove rain first, and then apply the Cook's distance outlier method. We ended up getting 4 outliers after removing rain.
I believe it is important to detect and take care of the outliers, and we can see whether we are getting better scores or not. I worked on the outliers and used a statistics method called cooked distance to identify the outliers. In total I got 10 outliers. I have inserted a screenshot below, and so basically anything above the red line (which is 4 / number of obs) will be identified as outliers.