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ribesstefano commited on
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Uploaded current best models in package code

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  1. protac_degradation_predictor/models/{best_model_n0_random-epoch=13-val_acc=0.83-val_roc_auc=0.841-v1.ckpt → best_model-aminoacidcnt-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.87-test_roc_auc=0.905.ckpt} +2 -2
  2. protac_degradation_predictor/models/best_model-cellsonehot-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.83-test_roc_auc=0.872.ckpt +3 -0
  3. protac_degradation_predictor/models/{best_model_n1_random-epoch=8-test_acc=0.78-test_roc_auc=0.851.ckpt → best_model-pytorch-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.74-test_roc_auc=0.698-v1.ckpt} +2 -2
  4. protac_degradation_predictor/models/{best_model_n2_random-epoch=9-val_acc=0.80-val_roc_auc=0.841-v1.ckpt → best_model-pytorch-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.74-test_roc_auc=0.698-v2.ckpt} +2 -2
  5. protac_degradation_predictor/models/best_model-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.87-test_roc_auc=0.861.ckpt +3 -0
  6. protac_degradation_predictor/models/best_model-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.88-test_roc_auc=0.892.ckpt +3 -0
  7. protac_degradation_predictor/models/best_model-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.82-test_roc_auc=0.855.ckpt +3 -0
  8. protac_degradation_predictor/models/best_model-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.83-test_roc_auc=0.867.ckpt +3 -0
  9. protac_degradation_predictor/models/{cv_model_random_fold0-epoch=12-val_acc=0.86-val_roc_auc=0.905.ckpt → best_model-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.74-test_roc_auc=0.726.ckpt} +2 -2
  10. protac_degradation_predictor/models/cv_model-aminoacidcnt-fold=1-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.83-val_roc_auc=0.878.ckpt +3 -0
  11. protac_degradation_predictor/models/cv_model-aminoacidcnt-fold=1-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.75-val_roc_auc=0.779.ckpt +3 -0
  12. protac_degradation_predictor/models/cv_model-cellsonehot-fold=0-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.83-val_roc_auc=0.886.ckpt +3 -0
  13. protac_degradation_predictor/models/cv_model-cellsonehot-fold=4-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.80-val_roc_auc=0.859-v4.ckpt +3 -0
  14. protac_degradation_predictor/models/cv_model-cellsonehot-fold=4-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.76-val_roc_auc=0.769.ckpt +3 -0
  15. protac_degradation_predictor/models/cv_model-cellsonehot_aminoacidcnt-fold=2-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.84-val_roc_auc=0.859.ckpt +3 -0
  16. protac_degradation_predictor/models/cv_model-cellsonehot_aminoacidcnt-fold=4-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.84-val_roc_auc=0.885.ckpt +3 -0
  17. protac_degradation_predictor/models/cv_model-fold=0-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.85-val_roc_auc=0.874.ckpt +3 -0
  18. protac_degradation_predictor/models/cv_model-fold=2-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.86-val_roc_auc=0.889.ckpt +3 -0
  19. protac_degradation_predictor/models/cv_model-fold=3-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.86-val_roc_auc=0.902.ckpt +3 -0
  20. protac_degradation_predictor/models/cv_model-fold=3-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.86-val_roc_auc=0.886.ckpt +3 -0
  21. protac_degradation_predictor/models/cv_model-pytorch-fold=0-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.78-val_roc_auc=0.801-v3.ckpt +3 -0
  22. protac_degradation_predictor/models/cv_model-pytorch-fold=1-study=standard-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.86-val_roc_auc=0.932-v2.ckpt +3 -0
  23. protac_degradation_predictor/models/cv_model-pytorch-fold=2-study=target-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.68-val_roc_auc=0.617.ckpt +3 -0
  24. protac_degradation_predictor/models/cv_model-pytorch-fold=3-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-val_acc=0.80-val_roc_auc=0.853-v2.ckpt +3 -0
  25. protac_degradation_predictor/models/cv_model_random_fold1-epoch=16-val_acc=0.86-val_roc_auc=0.933.ckpt +0 -3
  26. protac_degradation_predictor/models/cv_model_random_fold2-epoch=16-val_acc=0.86-val_roc_auc=0.908.ckpt +0 -3
  27. protac_degradation_predictor/models/cv_model_random_fold3-epoch=15-val_acc=0.89-val_roc_auc=0.930.ckpt +0 -3
  28. protac_degradation_predictor/models/cv_model_random_fold4-epoch=15-val_acc=0.88-val_roc_auc=0.928.ckpt +0 -3
  29. protac_degradation_predictor/models/xgboost_best_model_random_n0.json +0 -0
  30. protac_degradation_predictor/models/xgboost_best_model_random_n1.json +0 -0
  31. protac_degradation_predictor/models/xgboost_best_model_random_n2.json +0 -0
  32. protac_degradation_predictor/models/xgboost_best_model_similarity_n0.json +0 -0
  33. protac_degradation_predictor/models/xgboost_best_model_similarity_n1.json +0 -0
  34. protac_degradation_predictor/models/xgboost_best_model_similarity_n2.json +0 -0
  35. protac_degradation_predictor/models/xgboost_best_model_standard_n0.json +0 -0
  36. protac_degradation_predictor/models/xgboost_best_model_standard_n1.json +0 -0
  37. protac_degradation_predictor/models/xgboost_best_model_standard_n2.json +0 -0
  38. protac_degradation_predictor/models/xgboost_best_model_target_n0.json +0 -0
  39. protac_degradation_predictor/models/xgboost_best_model_target_n1.json +0 -0
  40. protac_degradation_predictor/models/xgboost_best_model_target_n2.json +0 -0
  41. protac_degradation_predictor/models/xgboost_cv_model_random_fold0.json +0 -0
  42. protac_degradation_predictor/models/xgboost_cv_model_random_fold1.json +0 -0
  43. protac_degradation_predictor/models/xgboost_cv_model_random_fold2.json +0 -0
  44. protac_degradation_predictor/models/xgboost_cv_model_similarity_fold0.json +0 -0
  45. protac_degradation_predictor/models/xgboost_cv_model_similarity_fold1.json +0 -0
  46. protac_degradation_predictor/models/xgboost_cv_model_similarity_fold2.json +0 -0
  47. protac_degradation_predictor/models/xgboost_cv_model_similarity_fold3.json +0 -0
  48. protac_degradation_predictor/models/xgboost_cv_model_similarity_fold4.json +0 -0
  49. protac_degradation_predictor/models/xgboost_cv_model_standard_fold0.json +0 -0
  50. protac_degradation_predictor/models/xgboost_cv_model_standard_fold1.json +0 -0
protac_degradation_predictor/models/{best_model_n0_random-epoch=13-val_acc=0.83-val_roc_auc=0.841-v1.ckpt → best_model-aminoacidcnt-study=similarity-Dmax=0.6-pDC50=6.0-test_split=0.1-test_acc=0.87-test_roc_auc=0.905.ckpt} RENAMED
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