why do neural networks outperform other classifiers how many features for overfit can one classifier outperform others how many features should overfit the classifier what classifies as svm how many features should a classifier overfit how many features are needed to overfit? how many features can you overfit the algorithm for a binary algorithm what kind of classifier outperforms knn when a classifier outperforms an existing classifier what happens to feature extraction why does knn outperform svm is the knn classifier the same as the svm classifier? which classifier outperforms the other? can feature extraction be performed by chance? which classifier is more accurate when overfitting features what type of learning algorithm can outperform svm? can svm outperform neural networks how many features are extracted to overfit a classification algorithm why is knn compared to svm how many features can i extract to classify a classifier