I have trained two classifiers .. Text Classification and Image Classification. So both models gives score for each class. For example there are 3 classes. Each model give array of 3 confidence score for each class.

I want to write some decider function to predict the final class based on these two model results. Dataset is very less around 100 observations.

What possible solution i can try.

  • $\begingroup$ the two scores can be seen as new data and use any classification or regression scheme to derive the final outcome $\endgroup$ – Nikos M. Mar 22 at 18:35
  • $\begingroup$ i have tried that but the dataset is very less the Linear and Logistic regression doesnt seem to work... $\endgroup$ – Shan Khan Mar 26 at 15:15

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