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Reorganiza estrutura do projeto em trabalho/ e artigo/

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Move arquivos de analise, apresentacao e outputs para subpastas
dedicadas; remove caches orfaos e tex nao usados.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Cesa-V
2026-06-17 10:35:57 -03:00
parent 77b7ba11b7
commit 953758497d
92 changed files with 644 additions and 10336 deletions
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trabalho/completo/outputs_completo/features_rgb_completo.csv Normal file
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trabalho/completo/outputs_completo/importancia_variaveis_rgb_completo.csv Normal file
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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