Multiagent System for Mutual Collaboration Classification for Cancer Detection

Table 9

Overall accuracy for each classification algorithm (dataset 1).

Model	Max profit	Overall accuracy (%)	Area under curve
Agent 1
SVM	42,100.0	76.50	0.835
Naive Bayesian	40,367.857	75.1	0.825
Neural network	38842.667	73.93	0.814
Agent 2
Naive Bayesian	2667.889	78.06	0.737
Neural network	2,127.183	77.74	0.742
Logistic regression	2126.429	77.68	0.723
Agent 3
SVM	3,635.0	79.99	0.722
Naive Bayesian	2,965.0	79.39	0.722
Logistic regression	2,145.329	78.51	0.758
Agent 4
SVM	22,040.0	78.45	0.864
Naive Bayesian	19,343.333	75.17	0.831
Neural network	17460.00	72.67	0.802
Agent 5
Naive Bayesian	1778.889	81.89	0.763
Logistic regression	1,170.0	81.46	0.751
Neural network	820.0	81.14	0.749