Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance

Table 1

List of 28 datasets from UCI Machine Learning Repository and their brief descriptions.

Abbr.	Name of the dataset	#Ins.	#C	#V
Aba	Abalone	4177	3	8
Adult	Adult	48842	2	14
Aus	Australian Credit	690	2	14
Bcw	Breast cancer Wisconsin	699	2	10
Bld	Liver Disorders	345	2	6
Cmc	Contraceptive Method Choice	1473	3	9
Col	Horse Colic	368	2	27
Cre	Credit Approval	690	2	15
Der	Dermatology	366	6	34
Ger	German Credit	1000	2	24
Gla	Glass	214	6	9
Hea	Statlog(Heart)	270	2	13
Hep	Hepatitis	155	2	19
Ion	Ionosphere	351	2	34
Kr-vs-kp	Chess End-Game	3196	2	36
Mam	Mammographic Mass	961	2	5
Pid	Pima Indians Diabetes	769	2	8
Spe	SPECTF heart	267	2	44
Tel	MAGIC gamma telescope	19020	2	10
Veh	Vehicle Silhouettes	846	4	18
Vot	Congressional Voting Records	435	2	16
Vow	Vowel Recognition	990	11	10
Yea	Protein Localization Sites	1484	10	8
Spambase	SPAM E-MAIL	4601	2	57
Tictacto	Tic-Tac-Toe Endgame	958	2	9
Wdbc	Wisconsin Diagnostic Breast Cancer	569	2	30
Wpbc	Wisconsin Prognostic Breast Cancer	198	2	31
Spect	SPECT Heart	267	2	22

Note. #Ins., #C, and #V mean the number of instances, the number of classes, and the number of variables for the dataset, respectively.