Tool condition classification on Tool condition dataset (10-fold cross-validation)
95.2AccuracyEHO-SVM
Evaluation Results
| Method | Links | |
|---|---|---|
| EHO-SVMN=30, T=50, Algorithm specific parameters=clans = 6, alpha = 0.5, beta = 0.5, C=2.60187031, gamma=0.195145242021.12 | 95.2 | |
| EHO-SVMN=42, T=50, Algorithm specific parameters=clans = 6, alpha = 0.5, beta = 0.5, C=2.44192814, gamma=0.222507642021.12 | 95.2 | |
| EHO-SVMN=42, T=50, Algorithm specific parameters=clans = 6, alpha = 0.9, beta = 0.5, C=2.12302576, gamma=0.24682752021.12 | 95.2 | |
| EHO-SVMN=50, T=50, Algorithm specific parameters=clans = 5, alpha = 0.99, beta = 0.5, C=3.43610505, gamma=0.154360042021.12 | 95.2 | |
| EHO-SVMN=50, T=50, Algorithm specific parameters=clans = 5, alpha = 0.99, beta = 0.15, C=2.21392735, gamma=0.249306542021.12 | 95.2 | |
| MBO-SVMN=16, T=50, Algorithm specific parameters=p = 5/12, peri = 1.2, BAR = 7/12, Smax = 10, C=7.15540772, gamma=0.066748452021.12 | 95.2 | |
| MBO-SVMN=16, T=50, Algorithm specific parameters=p = 5/12, peri = 1.2, BAR = 7/12, Smax = 50, C=12.15695916, gamma=0.051866172021.12 | 95.2 | |
| MBO-SVMN=32, T=50, Algorithm specific parameters=p = 5/12, peri = 1.2, BAR = 7/12, Smax = 50, C=4.96573029, gamma=0.095778162021.12 | 95.2 |