11 Commits

Author	SHA1	Message	Date
Richard Townsend	45ca6063f1	Not sure if this bagging version is better or not ... More more similar to "Attribute bagging:improving accuracy of classifier ensembles by using random feature subsets" (Brill)	2014-05-18 11:49:35 +01:00
Richard Townsend	26660e1470	Corrected a problem with pruning, actual ID3 decision tree type ... Going to modify Bagging to select attributes on its own	2014-05-17 21:45:26 +01:00
Richard Townsend	12ace9def5	Identified source of the low accuracy	2014-05-17 20:37:19 +01:00
Richard Townsend	13c0dc3eba	Reduced-error pruning	2014-05-17 18:06:01 +01:00
Richard Townsend	c516907b13	Passes all the tests	2014-05-17 17:35:10 +01:00
Richard Townsend	db3ac3c695	ID3 algorithm working	2014-05-17 17:28:51 +01:00
Richard Townsend	cf165695c8	ChiMerge seems to improve accuracy	2014-05-17 16:20:56 +01:00
Richard Townsend	fdb67a4355	Initial work on decision trees ... Random Forest has occasional disastrous accuracy: never seen that happen in WEKA	2014-05-14 14:00:22 +01:00
Stephen Whitworth	1ade0afca6	Refactored KNN to implement the estimator interface	2014-05-05 22:41:55 +01:00
Stephen Whitworth	7e8eb70cd1	Implemented batch and stochastic gradient descent	2014-05-05 21:40:51 +01:00
Stephen Whitworth	cd43a6565d	Implemented batch and stochastic gradient descent	2014-05-05 21:40:33 +01:00