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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,0.36298074633403044,0.30995815445239716,0.3633603238866397,0.9469207558795383,0.3834656395997568
SVM radial ajustado,0.35649417578146686,0.3029397087363448,0.35684210526315785,0.9463815622092584,0.3720660941606715
Random Forest,0.3284677302142518,0.27258541671650627,0.32878542510121456,0.9440465083621263,0.3405924694392964
PCA + SVM radial,0.32364187317626886,0.26735133180485987,0.32388663967611336,0.9436442293130114,0.35932566977715646
SVM radial,0.14187017563340923,0.0708961467200726,0.14327935222672064,0.9285272695006503,0.17432376344764106
1 modelo acuracia kappa sensibilidade_macro especificidade_macro f1_macro
2 SVM linear 0.36298074633403044 0.30995815445239716 0.3633603238866397 0.9469207558795383 0.3834656395997568
3 SVM radial ajustado 0.35649417578146686 0.3029397087363448 0.35684210526315785 0.9463815622092584 0.3720660941606715
4 Random Forest 0.3284677302142518 0.27258541671650627 0.32878542510121456 0.9440465083621263 0.3405924694392964
5 PCA + SVM radial 0.32364187317626886 0.26735133180485987 0.32388663967611336 0.9436442293130114 0.35932566977715646
6 SVM radial 0.14187017563340923 0.0708961467200726 0.14327935222672064 0.9285272695006503 0.17432376344764106

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modelo,acuracia,kappa,sensibilidade_macro,especificidade_macro,f1_macro
SVM linear,0.37362637362637363,0.3214285714285714,0.37362637362637363,0.9478021978021978,0.36460524043005765
SVM radial ajustado,0.36538461538461536,0.31249999999999994,0.36538461538461536,0.9471153846153846,0.36302238351838
Random Forest,0.34065934065934067,0.2857142857142857,0.34065934065934067,0.945054945054945,0.3405200571756793
PCA + SVM radial,0.31043956043956045,0.25297619047619047,0.31043956043956045,0.94253663003663,0.3160780319263731
SVM radial,0.14835164835164835,0.07738095238095237,0.14835164835164835,0.9290293040293041,0.16727440711436561
1 modelo acuracia kappa sensibilidade_macro especificidade_macro f1_macro
2 SVM linear 0.37362637362637363 0.3214285714285714 0.37362637362637363 0.9478021978021978 0.36460524043005765
3 SVM radial ajustado 0.36538461538461536 0.31249999999999994 0.36538461538461536 0.9471153846153846 0.36302238351838
4 Random Forest 0.34065934065934067 0.2857142857142857 0.34065934065934067 0.945054945054945 0.3405200571756793
5 PCA + SVM radial 0.31043956043956045 0.25297619047619047 0.31043956043956045 0.94253663003663 0.3160780319263731
6 SVM radial 0.14835164835164835 0.07738095238095237 0.14835164835164835 0.9290293040293041 0.16727440711436561

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modelo,acuracia,kappa,sensibilidade_macro,especificidade_macro,f1_macro
SVM linear,0.40153846153846157,0.3516666666666666,0.40153846153846157,0.9501282051282052,0.40929682290313046
SVM radial ajustado,0.38,0.3283333333333333,0.38,0.9483333333333333,0.3905066510222767
PCA + SVM radial,0.3676923076923077,0.31499999999999995,0.3676923076923077,0.9473076923076923,0.37836144953604534
Random Forest,0.35692307692307695,0.3033333333333333,0.35692307692307695,0.9464102564102563,0.38061565488169397
SVM radial,0.15846153846153846,0.08833333333333333,0.15846153846153846,0.9298717948717948,0.22329423850231678
1 modelo acuracia kappa sensibilidade_macro especificidade_macro f1_macro
2 SVM linear 0.40153846153846157 0.3516666666666666 0.40153846153846157 0.9501282051282052 0.40929682290313046
3 SVM radial ajustado 0.38 0.3283333333333333 0.38 0.9483333333333333 0.3905066510222767
4 PCA + SVM radial 0.3676923076923077 0.31499999999999995 0.3676923076923077 0.9473076923076923 0.37836144953604534
5 Random Forest 0.35692307692307695 0.3033333333333333 0.35692307692307695 0.9464102564102563 0.38061565488169397
6 SVM radial 0.15846153846153846 0.08833333333333333 0.15846153846153846 0.9298717948717948 0.22329423850231678

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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

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modelo,acuracia,kappa,sensibilidade_macro,especificidade_macro,f1_macro
SVM linear,0.40153846153846157,0.3516666666666666,0.40153846153846157,0.9501282051282052,0.40929682290313046
PCA + SVM radial,0.3676923076923077,0.31499999999999995,0.3676923076923077,0.9473076923076923,0.37836144953604534
SVM radial ajustado,0.36153846153846153,0.3083333333333333,0.36153846153846153,0.9467948717948718,0.3667814495681257
Random Forest,0.3476923076923077,0.2933333333333333,0.3476923076923077,0.9456410256410256,0.35022414446407363
SVM radial,0.15846153846153846,0.08833333333333333,0.15846153846153846,0.9298717948717948,0.22329423850231678
1 modelo acuracia kappa sensibilidade_macro especificidade_macro f1_macro
2 SVM linear 0.40153846153846157 0.3516666666666666 0.40153846153846157 0.9501282051282052 0.40929682290313046
3 PCA + SVM radial 0.3676923076923077 0.31499999999999995 0.3676923076923077 0.9473076923076923 0.37836144953604534
4 SVM radial ajustado 0.36153846153846153 0.3083333333333333 0.36153846153846153 0.9467948717948718 0.3667814495681257
5 Random Forest 0.3476923076923077 0.2933333333333333 0.3476923076923077 0.9456410256410256 0.35022414446407363
6 SVM radial 0.15846153846153846 0.08833333333333333 0.15846153846153846 0.9298717948717948 0.22329423850231678

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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