Nonlinear Training Set Sizes for Cheaper Learning Curves

What is plotted on the y-axis when constructing a learning curve by varying training set size?

When constructing a learning curve, you train a single model on the full dataset and evaluate it at regular checkpoints during training.

To plot a learning curve, you train _____ copies of the algorithm on training sets of different sizes.

Match each learning curve component to its role in the construction process.

Order the steps to construct a learning curve when 1,000 labeled training examples are available.

In the Machine Learning Yearning example with 1,000 training examples, which approach correctly constructs a learning curve?

When constructing a learning curve by training on subsets of 100, 200, and 300 examples, each model copy is evaluated on the same fixed dev set.

When constructing a learning curve, the x-axis represents _____ and the y-axis represents dev-set error.

Match each training subset description to its position or role on a learning curve built from 1,000 total examples.

Order the reasoning steps that explain why separate model copies must be trained for each subset size when constructing a learning curve.

Explain the methodology for constructing and plotting a dev-set error learning curve by varying training dataset size.

Design a dev-set error learning curve experiment for an algorithm with 1,000 available training examples.

How is dev-set error evaluated and plotted for different training-set sizes when constructing a learning curve?