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- Given two learning algorithms and and a large data set
, which algorithm will produce more accurate classifiers when
trained on datasets of a specified size ?
- Also not much attention.
- DELVE team has studied it for regression.
- They divide into several disjoint training sets and a single
test set.
- Each algorithm is trained on each training set, and all
resulting classifiers tested on the test set.
- An analysis of variance is performed that includes terms for
choice of the learning algorithm, choice of the training set, and each
individual test example.
- Quasi-F test is applied to determine whether the effect due to
the choice of learning algorithms is significantly non-zero.
Patricia Riddle
Fri May 15 13:00:36 NZST 1998