Table 5.

Results achieved on the testing set for the vowel /a/

Algorithm	Sensibility (%)	Specificity (%)	Accuracy (%)	Precision (%)	F1-score (%)	AUC
Naive Bayes [25]	82.35	23.53	52.94	51.85	63.64	0.713
Bayes Net [25]	47.06	70.59	58.82	61.54	53.33	0.616
SVM [6]	52.94	82.35	67.65	75.00	62.07	0.676
SGD [3]	47.06	94.12	70.59	88.89	61.54	0.706
Ibk [2]	52.94	70.59	61.76	64.29	58.06	0.618
LWL [14]	47.06	58.82	52.94	53.33	50.00	0.626
Adaboost [12]	41.18	70.59	55.88	58.33	48.28	0.683
Bagging [12]	70.59	70.59	70.59	70.59	70.59	0.744
OneR [19]	47.06	58.82	52.94	53.33	50.00	0.529
Decision Table [26]	52.94	58.82	55.88	56.25	54.55	0.578
J48 [41]	58.82	76.47	67.65	71.43	64.52	0.713
Random Forest [49]	47.06	76.47	61.76	66.67	55.17	0.739