Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations

Table 1

Four datasets used in our experiments.

Dataset	Features	Balance status	Distribution of feature values	Number of samples (class 0/class 1)	Skewness coefficients
					Max	Min	Mean
SamplesNew	39	Unbalanced	Non-Gaussian Approx.	748 (115/633)	7.577		2.343
svmguide3	21	Unbalanced	Non-Gaussian Approx.	1284 (947/337)	10.074		2.181
Sonar	31	Balanced	Approx. Gaussian	209 (97/102)	1.123		0.214
Splice	60	Balanced	Approx. Gaussian	1269 (653/616)	0.672