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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
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