vitorcesavc/sensoriamento-rgb-svm
0
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Initial commit

Browse Source
This commit is contained in:
Cesa-V
2026-06-16 20:01:36 -03:00
commit e317e16cdc
91 changed files with 32046 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

651
outputs/parcial/features_rgb.csv Normal file
View File

File diff suppressed because one or more lines are too long

BIN
outputs/parcial/features_rgb_mobilenetv2.rds Normal file
View File

Binary file not shown.

1266
outputs/parcial/importancia_variaveis_rgb.csv Normal file
View File

File diff suppressed because it is too large Load Diff

BIN
outputs/parcial/modelos_rgb.rds Normal file
View File

Binary file not shown.

6
outputs/parcial/resultados_kfold_rgb.csv Normal file
View File

@@ -0,0 +1,6 @@
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

6
outputs/parcial/resultados_modelos_rgb.csv Normal file
View File

@@ -0,0 +1,6 @@
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