Suppose you build an SVM model using a polynomial kernel with default hyperparameters. It gives an accuracy of 87% on training data but performs poorly on test data with an accuracy of 67%.
Considering default setting of hyperparameters, what kernel should you choose next to improve the performance of your model on test data?
Vinay AI Lab
Machine Learning Interview Question for SVM:
Suppose you build an SVM model using a polynomial kernel with default hyperparameters. It gives an accuracy of 87% on training data but performs poorly on test data with an accuracy of 67%.
Considering default setting of hyperparameters, what kernel should you choose next to improve the performance of your model on test data?
3 years ago | [YT] | 1