Introduction to Classification
Ilya V. Narsky, Prof. Frank C. Porter · 2013
This chapter contains sections titled: Loss Functions: Hard Labels and Soft Scores Bias, Variance, and Noise Training, Validating and Testing: The Optimal Splitting Rule Resampling Techniques: Cross-Validation and Bootstrap Data with Unbalanced Classes Learning with Cost Exercises References