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Michał Kasprowicz 2025-08-21 10:46:29 +00:00
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================================================================================
RAPORT ANALIZY WYNIKÓW EKSPERYMENTÓW
================================================================================
Data generowania: 2025-08-19 10:45:18
KLASYCZNY SVM:
----------------------------------------
Liczba testów: 69
Najlepsza dokładność: 0.9845
Średnia dokładność: 0.7291
Odchylenie standardowe: 0.1248
Top 5 najlepszych wyników:
1. pca_10: 0.9845 (C=1, gamma=scale, kernel=linear)
2. pca_16: 0.9845 (C=1, gamma=scale, kernel=linear)
3. pca_12: 0.9806 (C=1, gamma=scale, kernel=linear)
4. pca_14: 0.9767 (C=1, gamma=scale, kernel=linear)
5. pca_8: 0.9535 (C=1, gamma=scale, kernel=linear)
KWANTOWY SVM:
----------------------------------------
Liczba testów: 9
Najlepsza dokładność: 0.4867
Średnia dokładność: 0.4459
Odchylenie standardowe: 0.0318
Wyniki według mapy cech:
Amplitude_l2: 0.4417
Amplitude_l1: 0.4367
Amplitude_min-max: 0.4867
REDUKCJA WYMIAROWOŚCI:
----------------------------------------
Liczba metod: 68
PCA:
Liczba wersji: 5
Średni czas: 0.10s
Najlepsza wyjaśniona wariancja: 0.0438
t-SNE:
Liczba wersji: 18
Średni czas: 8.07s
Najlepszy Silhouette Score: 0.1245
UMAP:
Liczba wersji: 45
Średni czas: 3.47s
Najlepszy Silhouette Score: 0.0688
================================================================================
KONIEC RAPORTU
================================================================================

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wyniki/redukcja wymiarowosci/eksperyment 1/classic_svm_results_TCGA_GBM_LGG_Mutations_all-1.json Normal file
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wyniki/redukcja wymiarowosci/eksperyment 1/dimension_reduction_results_TCGA_GBM_LGG_Mutations_all-1.json Normal file
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{"quantum_results": [["Amplitude_l2", 0.1, 0.4183333333333334], ["Amplitude_l2", 1.0, 0.42333333333333334], ["Amplitude_l2", 10.0, 0.4416666666666667], ["Amplitude_l1", 0.1, 0.4183333333333334], ["Amplitude_l1", 1.0, 0.41500000000000004], ["Amplitude_l1", 10.0, 0.4366666666666667], ["Amplitude_min-max", 0.1, 0.48666666666666664], ["Amplitude_min-max", 1.0, 0.48666666666666664], ["Amplitude_min-max", 10.0, 0.48666666666666664]], "quantum_times": {"Amplitude_l2_0.1": {"total_time": 6.682302713394165, "cv_time": 6.682237148284912}, "Amplitude_l2_1.0": {"total_time": 6.718405485153198, "cv_time": 6.7182934284210205}, "Amplitude_l2_10.0": {"total_time": 6.69120454788208, "cv_time": 6.691100358963013}, "Amplitude_l1_0.1": {"total_time": 6.703122615814209, "cv_time": 6.703016757965088}, "Amplitude_l1_1.0": {"total_time": 6.68643045425415, "cv_time": 6.686322212219238}, "Amplitude_l1_10.0": {"total_time": 6.711588382720947, "cv_time": 6.711467981338501}, "Amplitude_min-max_0.1": {"total_time": 6.778655290603638, "cv_time": 6.778536796569824}, "Amplitude_min-max_1.0": {"total_time": 6.758512496948242, "cv_time": 6.758403301239014}, "Amplitude_min-max_10.0": {"total_time": 6.8041791915893555, "cv_time": 6.804073810577393}}, "completed_feature_maps": ["Amplitude_l2", "Amplitude_l1", "Amplitude_min-max"]}