Table 3.

Results achieved on the testing set for the vowels /a/, /e/ and /o/

Algorithm	Sensibility (%)	Specificity (%)	Accuracy (%)	Precision (%)	F1-score (%)	AUC
Naive Bayes [25]	100.00	35.29	67.65	60.71	75.56	0.706
Bayes Net [25]	88.24	29.41	58.82	55.56	68.18	0.671
SVM [6]	94.12	52.94	73.53	66.67	78.05	0.735
SGD [3]	94.12	47.06	70.59	64.00	76.19	0.706
Ibk [2]	88.24	47.06	67.65	62.50	73.17	0.676
LWL [14]	58.82	52.94	55.88	55.56	57.14	0.647
Adaboost [12]	70.59	76.47	73.53	75.00	72.73	0.785
Bagging [12]	76.47	64.71	70.59	68.42	72.22	0.747
OneR [19]	29.41	76.47	52.94	55.56	38.46	0.529
Decision Table [26]	64.71	47.06	55.88	55.00	59.46	0.554
J48 [41]	64.71	52.94	58.82	57.89	61.11	0.588
Random Forest [49]	94.12	70.59	82.35	76.19	84.21	0.901