1 vote

how to build model using two input dataset in which there is no common column to merge or combine

It looks like your problem is more suitable for optimization (operational research) techniques than machine learning algorithms. If I understood it right, you could build a model that can decide how ...
Giovanni Amorim's user avatar
1 vote
Accepted

Adding new model to ensemble without fitting again

[Edited as part of the answer wasn't correct/precise] The only part that needs re-fit is the estimators and after. You do not have to retrain ...
lpounng's user avatar
  • 998
1 vote

How to reduce the false positives to improve the models performance?

Since you did not mention based on which metric your decision will be drawn (e.g. if model A has better F1 but model B is better on ROC-AUC, which would you pick?) nor much detail on your dataset, I ...
lpounng's user avatar
  • 998

Only top scored, non community-wiki answers of a minimum length are eligible