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Overfitting implies a failure to properly generalize the training data. Here it generalized them correctly. Garbage in, garbage out.
by xigoi 1y ago
Overfitting implies a failure to properly generalize the training data. Here it generalized them correctly. Garbage in, garbage out.
- samrus 1y agoNo. Because there would have been indtances in the data where silence was labelled correctly. But the model couldnt handle the null case, so it over fit on the outros. But generally it fit on the random error in the label of the null feature. Which is what overfitting is