What is a hybrid model in data mining and machine learning?

11 April 2021 1 4K Report

I want to create a hybrid model that predicts heart disease. But before I start, I have a few questions:

Can the output of one classifier be used as input to another classifier? For example, can we use SVM->ANN->RF->LR? I think it's possible, but the label/target data may get reduced when passed from one classifier to another. Could you suggest some papers or codes related to this?

What parameters should I consider when building a hybrid model, apart from Kappa value?

How should I select algorithms for a hybrid model?

What are some best practices or common methods for building a hybrid model, apart from ensemble learning? Any suggestions would be appreciated.

Abidhan Bardhan

any hybrid models, such as ANN-based, ANFIS-based, ELM-based, SVM-based, RVM-based, LSSVM-based, and so on.

Suggest you to go for deep learning models, such as LSTM< RNN, Bi-LSTM, etc.

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