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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,0.40153846153846157,0.3516666666666666,0.40153846153846157,0.9501282051282052,0.40929682290313046
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