Mathematical Problems in Engineering / 2019 / Article / Tab 9

Research Article

Multiagent System for Mutual Collaboration Classification for Cancer Detection

Table 9

Overall accuracy for each classification algorithm (dataset 1).

ModelMax profitOverall accuracy (%)Area under curve

Agent 1
SVM42,100.076.500.835
Naive Bayesian40,367.85775.10.825
Neural network38842.66773.930.814

Agent 2
Naive Bayesian2667.88978.060.737
Neural network2,127.18377.740.742
Logistic regression2126.42977.680.723

Agent 3
SVM3,635.079.990.722
Naive Bayesian2,965.079.390.722
Logistic regression2,145.32978.510.758

Agent 4
SVM22,040.078.450.864
Naive Bayesian19,343.33375.170.831
Neural network17460.0072.670.802

Agent 5
Naive Bayesian1778.88981.890.763
Logistic regression1,170.081.460.751
Neural network820.081.140.749