Future work:
By checking the result I found the dataset I have is not well balance, most of case can get closed within a day, and random forest model tends to classify the test data into the biggest group. To better handle this unbalanced data I could assign different weights to different groups by giving smaller groups higher weights and bigger groups lower weights. Also I can over sampling some smaller group data record to increase their group size.
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