Too Active To Control Nepicastat ?

89 52.43 61.43 68.Ten 74.Seventy-six Fifty one.Forty-eight Seventy four.Seventy-six Seventy four.76 CC Seventy four.Seventy-six Fifty-four.Forty eight 60.92 Sixty seven.Sixty two Sixty one.90 57.Thirty-eight Sixty seven.Sixty two 71.43 ReliefF Sixty four.Twenty nine 51.Fifty two Fifty-four.Twenty nine 50.59 67.18 Forty-nine.Twenty four Fifty four.28 60.Fifty nine CC-GA 67.58 60.Forty eight Sixty three.Seventy eight 75.92 74.76 Fifty-five.Twenty 74.Seventy six 74.Seventy six ReliefF-GA 67.62 60.Seventy six Sixty four.Twenty nine Sixty one.Forty three 93.80 84.62 74.76 74.Seventy six From Figure?7, ANFIS performed the best within Team One particular when compared to some other distinction means of all types of feature assortment approaches apart from CC-GA strategy. Each of the group techniques done worst within ReliefF function PIK-3 assortment strategy apart from ANN. Total, the actual efficiency with the classification method is better throughout Team Only two in comparison learn more in order to Class 1. Table Ten best models along with accuracy, AUC, category technique as well as picked capabilities ? Precision AUC Category technique Picked features Class A single ? ? ? ? CC-3-input Seventy four.76 Zero.75 ANFIS Get older,Inv,PN GA-3-input Nepicastat 75.Ninety five 0.66 ANFIS PT,PN,Sta CC-GA-6-input 70.89 0.73 LR Age bracket,Dri,Node,PT,PN,Sta Group Two ? ? ? ? ReliefF-GA-3-input 93.81 0.Ninety days ANFIS Dri,Inv,p63 ReliefF-GA-4-input 93.80 2.Ninety ANFIS Dri,Inv,Tre,p63 ReliefF-GA-3-input 84.Sixty two Zero.83 ANN Dri,Inv,p63 ReliefF-GA-3-input Eighty four.Sixty two 0.83 ANN Dri,Inv,p63 GA-3-input Seventy four.Seventy-six 2.Seventy four ANFIS Inv,Node,p63 CC-GA-3-input Seventy four.Seventy six 3.Seventy ANFIS Inv,Node,p63 CC-GA-3-input Seventy four.76 Zero.70 SVM Inv,Node,p63 CC-GA-3-input 74.76 Zero.Seventy LR Inv,Node,p63 ReliefF-GA-3-input Seventy four.Seventy six 2.80 SVM Dri,Inv,p63 ReliefF-GA-3-input Seventy four.Seventy-six Zero.Seventy LR Dri,Inv,p63 Relief-GA-4-input Seventy four.Seventy-six 3.Seventy LR Dri,Inv,Tre,p63 Relief-GA-5-input 74.Seventy six 3.75 SVM Age group,Gen,Smo,Dri,p63 Relief-GA-6-input 74.Forty three 2.66 SVM Grow older,Generation,Smo,Dri,Inv,p63 Relief-GA-4-input Seventy-three.Thirty eight 0.Seventy five ANN Dri,Inv,Tre,p63 Relief-GA-4-input Seventy one.43 0.Sixty eight SVM Dri,Inv,Tre,p63 Relief-GA-5-input 71.Forty three Zero.'68 LR Grow older,Style,Smo,Dri,p63 CC-3-input Seventy one.Forty three Zero.Sixty seven LR Inv,PN,p63 CC-4-input Seventy one.43 2.Sixty seven LR Age group,Inv,PN,p63 CC-GA-4-input 75.Forty eight 0.Seventy one ANFIS Style,Inv,Size,p53 Coming from Table?10, the designs with the greatest exactness are usually ReliefF-GA-3-input and also ReliefF-GA-4-input through Party A couple of with ANFIS group, the accuracy is 93.81% as well as AUC associated with 2.90.