BMC Bioinformatics

Table 1 Machine learning performance

From: Machine learning methods can replace 3D profile method in classification of amyloidogenic hexapeptides

Method	TPR	TNR	Acc	AUC
MLP	0.78	0.95	0.91	0.96
ADTree 250	0.78	0.95	0.91	0.96
Naive Bayes	0.53	0.98	0.88	0.95
ADTree 50	0.64	0.96	0.89	0.94
RF	0.26	0.98	0.82	0.89
FT	0.73	0.94	0.90	0.85
SVM	0.76	0.95	0.91	0.86
Part	0.56	0.94	0.86	0.85
BFTree	0.67	0.91	0.86	0.82
Ridor	0.56	0.90	0.83	0.73
Jrip	0.29	0.93	0.79	0.61

The performance evaluation of the machine learning methods. The results are ordered by decreasing AUC.

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ISSN: 1471-2105

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