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| X_data=data.drop(["Class","Group"],axis=1) | |
| y_data=data["Class"] | |
| dtrain = xgb.DMatrix(X_data,y_data) | |
| params = { | |
| 'objective':'binary:logistic', | |
| 'max-depth':2, | |
| 'silent':1, | |
| 'eta':0.5 | |
| } | |
| num_rounds = 5 | |
| bst = xgb.train(params,dtrain,num_rounds) |
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