Voting, Averaging & Stacking Multiple ML Models: Ensemble Learning 

thank you❤

As you said model m1 to m4 work better for some set of data. Input features are also given to meta model and meta model will decide 'ok for these features m2 worked well so lets give more weightage to m2 output'. it raises question that how meta model will classify that for which input features which model performed well?? Hope you got the question

Requesting you to please provide a short video on XGBoost and AdaBoost applications thanks!

Could you please tell me, in which phase the ensemble learning is used in Deep Learning? Is it in training phase or validation or testing phase?