Apparent error
Definition taught in Estimating error rates, part of Statistical learning
Apparent error
| Type | Definition |
| Taught in | Estimating error rates |
| Part | Statistical learning |
| Questions using it | 2 |
The apparent error scores a rule on the cases that trained it:
\mathrm{err} =\frac1n\sum_{i=1}^n Q\bigl(y_i,\eta_{(X,y)}(x_i)\bigr),
where \eta_{(X,y)} is the classifier fitted to the whole observed sample (X,y)=\{(x_i,y_i)\}_{i=1}^n.
Used in
- Taught in Estimating error rates, where the derivation and examples are.
- Also used in Nearest neighbours · Classification trees
- Questions that use it (2) — A tempting wrong turn (answer) · A tempting wrong turn
- All 7 questions on Estimating error rates
See also
Bootstrap error and the correction · Training set · Fixed-rule error · Confusion matrix · Leave-one-out cross-validation · -fold cross-validation · Jackknife bias and standard error · A held-out test set