Ensemble multiple models using VotingClassifer or VotingRegressor

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Want to improve your classifier's accuracy? Create multiple models and ensemble them using VotingClassifier!

P.S. VotingRegressor is also available

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Thanks for watching! 🙌 To be clear, ensembling can improve your model regardless of whether your chosen evaluation metric is accuracy or a different metric. In other words, it's always worth a try!

dataschool

Thank you... I understand what is random_state (you explained that is important for reproducibility). But, is it necessary here? It make sense when we split the data, but why is here important? If I am not wrong these models without the random_state would be always the same? Thank you in advance

aleksandartta

Can we use voting regression with time series data?

attilasarkany

What is the minimum number of base learners in an ensemble three or two? Thanks in advance

elouassifbouchra

hi, Sir can you please tell me how we can ensemble VGG16 and MOBILENET ?

shakilahmad

Ensemble multiple models using VotingClassifer or VotingRegressor

Ensemble multiple models using VotingClassifer or VotingRegressor

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