I am trying to predict win or loss in ML using Python. Tried XGboost,Logistic and SVC method but getting struct in place where it says " estimators failed to fit".
Need help on this prediction.
I have given a sample data.. The first 6 Id have result known as either won or loss .. how can predict 7,8 and 9 on the sample data either won or loss and also any possibility to get the % of win or loss. we have Id, pl as place and tr as another categorical variable and based o n all the variable how can we predict Dealst....
your help would be greatly appreciated.
Id Pl tr days1 days2 days3 totaldays Dealst
1 ab bc2 25 30 48 103 won
2 ab1 bc3 26 30 148 203 won
3 ab3 bc4 26 30 148 203 Loss
4 ab4 bc5 26 30 148 203 won
5 ab5 bc6 26 30 148 203 Loss
6 ab6 bc7 26 30 148 203 won
7 ab7 bc8 26 30 148 203 Open
8 ab8 bc9 26 30 148 203 Open
9 ab9 bc1 26 30 148 203 Open
Need help on this prediction.
I have given a sample data.. The first 6 Id have result known as either won or loss .. how can predict 7,8 and 9 on the sample data either won or loss and also any possibility to get the % of win or loss. we have Id, pl as place and tr as another categorical variable and based o n all the variable how can we predict Dealst....
your help would be greatly appreciated.
Id Pl tr days1 days2 days3 totaldays Dealst
1 ab bc2 25 30 48 103 won
2 ab1 bc3 26 30 148 203 won
3 ab3 bc4 26 30 148 203 Loss
4 ab4 bc5 26 30 148 203 won
5 ab5 bc6 26 30 148 203 Loss
6 ab6 bc7 26 30 148 203 won
7 ab7 bc8 26 30 148 203 Open
8 ab8 bc9 26 30 148 203 Open
9 ab9 bc1 26 30 148 203 Open