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V Hegde
V Hegde

V Hegde

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From Boosting Product Categorization with Machine Learning by Amadeus Magrabi

…obabilities for our 723 categories. How do we integrate the predictions from the different models? You can get more fancy here and train a so-called ensemble model, which is basically a higher-order machine learning model that takes as its input the output of other models. But for our purposes, it was enough to compute the mean of the class probabilities of each model to…

From Boosting Product Categorization with Machine Learning by Amadeus Magrabi

After preprocessing and vectorization, we can finally build our actual text classifier. We tested prediction accuracies for a range of machine learning models in the library scikit-learn:…

From Boosting Product Categorization with Machine Learning by Amadeus Magrabi

We experimented with removing very short words (1–3 letters) and automatic spelling correction, but excluded these steps in the end because they did not lead to a better performance.

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