Performance evaluation of learning algorithms - Mohak Shah
Performance evaluation of learning algorithms - Mohak Shah
Performance evaluation of learning algorithms - Mohak Shah
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Se we decided on a performance measure.<br />
How do we estimate it in an unbiased manner?<br />
What if we had all the data?<br />
Re-‐substitution: Overly optimistic (best performance<br />
achieved with complete over-‐fit)<br />
Which factors affect such estimation choices?<br />
Sample Size/Domains<br />
Random variations: in training set, testing set, <strong>learning</strong><br />
<strong>algorithms</strong>, class-‐noise<br />
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