Apr
29
AI - Classifier Comparison - The nature of decision boundaries of different classifiers
Particularly in high-dimensional spaces, data can more easily be separated linearly and the simplicity of classifiers such as naive Bayes and linear SVMs might lead to better generalization than is achieved by other classifiers.
The plots show training points in solid colors and testing points semi-transparent. The lower right shows the classification accuracy on the test set.
The plots show training points in solid colors and testing points semi-transparent. The lower right shows the classification accuracy on the test set.