Kea - Machine Learning in Marsyas ala Weka
Mode = train_evaluate
Training classifier using .arff file: mini-genres.arff
Classifier type : GS
=== Non-Stratified cross-validation (10 folds) ===
=== ClassificationReport ===

Correctly Classified Instances		713	55.1431 %
Incorrectly Classified Instances	580	44.8569 %
Kappa statistic				0.439348	
Mean absolute error			0.448569
Root mean squared error			0.669753
Relative absolute error			89.7138
Root relative squared error		133.951
Total Number of Instances		1293

=== Confusion Matrix ===

	a	b	c	d	e	<-- classified as
	135	121	0	1	2	| a = classical
	15	196	0	41	7	| b = jazz
	0	15	114	129	0	| c = metal
	1	42	1	212	2	| d = pop
	1	41	0	161	56	| e = rock
55% classified correctly (713/1293)
