| acc_sim |
Utility function to generate accuracy metrics, for use with 'estimate_accuracy()' |
| br |
Replication data for 'Predicting Recidivism' |
| estimate_accuracy |
Estimate sample complexity bounds for a binary classification algorithm using either simulated or user-supplied data. |
| gendata |
Simulate data with appropriate structure to be used in estimating sample complexity bounds |
| getpac |
Recalculate achieved sample complexity bounds given different parameter inputs |
| loss |
Utility function to define the least-squares loss function to be optimized for 'simvcd()' |
| plot_accuracy |
Represent simulated sample complexity bounds graphically |
| risk_bounds |
Utility function to generate data points for estimation of the VC Dimension of a user-specified binary classification algorithm given a specified sample size. |
| scb |
Calculate sample complexity bounds for a classifier given target accuracy |
| simvcd |
Estimate the Vapnik-Chervonenkis (VC) dimension of an arbitrary binary classification algorithm. |
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