Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes

Table 4 Confusion matrix. Predictions by the cost sensitive classifier algorithms on the Entrez Gene dataset

Classifier algorithms	True positives (TP)	True negatives (TN)	False positives (FP)	False negatives (FN)
Bayes Net	47	2110	574	24
Decision Table	19	2032	652	52
DTNB	21	2133	551	50
Functional Tree	46	2004	680	25
J48	44	2117	567	27
Logistic Regression	49	2148	536	22
LWL (J48 + KNN)	48	2111	573	23
Naive Bayes	51	2151	533	20
NB Tree	35	2070	614	36
Random Forest	42	2158	526	29
SVM	56	2058	626	15

ISSN: 1471-2164