Machine Learning Fundamentals · 免费预览
容量、欠拟合与过拟合
能够拟合任意标签的模型类无法证明模型确实发现了某种模式，而训练误差与验证误差的形态则可用于诊断模型容量是过小还是过大。
1. What low training error certifies
What low training error certifies
2. Reading the two errors
Reading the two errors
3. The effect of more data
The effect of more data
4. Which regime the model is in
A classifier's training error is 2% and its validation error is 31%. Which statement describes this regime and the effective response?
5. The underfitting signature
A model's training error is 34% and its validation error is 36%, with a small gap between them. This pattern points to ____.