Under the premise that other conditions are unchanged, which of the following practices is likely to cause overfitting problems in machine learning ()
A. Increase the training set
B. Reduce the number of nodes in the hidden layer of the neural network
C. Remove sparse features
D, SVM algorithm uses Gaussian kernel / RBF kernel instead of linear kernel
Answer:D
Under the premise that other conditions are unchanged, which of the following practices is likely to cause overfitting problems in machine learning ()
A. Increase the training set B. Reduce the number of nodes in the hidden layer of the neural network C. Remove sparse features D, SVM algorithm uses Gaussian kernel / RBF kernel instead of linear kernel