In my previous article (Model Selection in Text Classification), I presented a way to select a model by making a comparison between classical machine learning and deep learning for the binary text classification problem.
The notebook is structured to run automatically with cross-validation all the algorithms and shows the results for the different metrics leaving the user free to select the algorithm according to his needs.

#tutorial #metrics #binary #multiclass #classification #testing

Binary and Multiclass Text Classification (auto detection in a model test pipeline)
1.10 GEEK