(ML Spec)
A performance plot for a learning algorithm on a data set(s).
- x-axis: the size of the dataset
- y-axis: performance metric (e.g. error, accuracy)
Computational cost
It’s useful to plot learning curves for different algorithms (and their cost function) on different subset of the data, to diagnose Bias-Variance as a performance metric. However, it’s quite computationally expensive