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Cesa-V
2026-06-16 20:01:36 -03:00
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modelo,acuracia,kappa,sensibilidade_macro,especificidade_macro,f1_macro
SVM linear,0.4,0.35,0.4,0.95,0.401945495575665
Random Forest,0.37435897435897436,0.3222222222222222,0.37435897435897436,0.9478632478632478,0.3688098868848946
PCA + SVM radial,0.358974358974359,0.3055555555555555,0.358974358974359,0.9465811965811965,0.36964765748713724
SVM radial ajustado,0.35384615384615387,0.3,0.35384615384615387,0.9461538461538461,0.35196493343650537
SVM radial,0.14358974358974358,0.0722222222222222,0.14358974358974358,0.9286324786324787,0.192826555606469
1 modelo acuracia kappa sensibilidade_macro especificidade_macro f1_macro
2 SVM linear 0.4 0.35 0.4 0.95 0.401945495575665
3 Random Forest 0.37435897435897436 0.3222222222222222 0.37435897435897436 0.9478632478632478 0.3688098868848946
4 PCA + SVM radial 0.358974358974359 0.3055555555555555 0.358974358974359 0.9465811965811965 0.36964765748713724
5 SVM radial ajustado 0.35384615384615387 0.3 0.35384615384615387 0.9461538461538461 0.35196493343650537
6 SVM radial 0.14358974358974358 0.0722222222222222 0.14358974358974358 0.9286324786324787 0.192826555606469