Bagging optmization reduced performance
Hi,
I am running an attached dataset to measure the performance of the model. Decision tree gave me a good accuracy value, however, when I used a bagging operator to increase the performance of the model, the output reduced the performance accuracy.
Could anyone help me with what changes I need to make in the model so that accuracy is optimized?
Note: dataset has no attribute tables, uncheck "first row as names" and column operator value to "," while importing the dataset.
Regards,
RT
I am running an attached dataset to measure the performance of the model. Decision tree gave me a good accuracy value, however, when I used a bagging operator to increase the performance of the model, the output reduced the performance accuracy.
Could anyone help me with what changes I need to make in the model so that accuracy is optimized?
Note: dataset has no attribute tables, uncheck "first row as names" and column operator value to "," while importing the dataset.
Regards,
RT