Bagging optmization reduced performance

ravtal

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

MartinLiebig

Hi@ravtal,
this sounds like you overtrained your decision tree. Did you check for it?

Best,
Martin

ravtal

You mean I should reduce the depth?

varunm1

Hello@ravtal

As@mschmitzsaid, it might be due to overfitting. DId you try hyperparameter optimization using "optimize parameter grid operator"? You can search for the best hyperparameters for your algorithm and reduce overfitting.

ravtal

@varunm1Ok, but do you think model design is good?