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GenePrioritiser-db

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GenePrioritiser-db / example /machine_learning /multiclass /output

24.7 MB

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all_genes_imputed_features.csv

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best_model_fitted.pkl
Detected Pickle imports (9)
- "lightgbm.basic.Booster",
- "numpy.core.multiarray.scalar",
- "collections.OrderedDict",
- "numpy.core.multiarray._reconstruct",
- "lightgbm.sklearn.LGBMClassifier",
- "collections.defaultdict",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.preprocessing._label.LabelEncoder"
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best_model_predictions_all_genes_with_probabilities.csv

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best_model_predictions_all_gwas_genes_with_probabilities.csv

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borutashap_feature_importance_plot_class_weighted.png

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catboost_feature_importancet_class_weighted.png

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confusion_matrix_CatBoost.png

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model_evaluation_metrics_class_weighted.csv

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model_performance_violin_plot.png

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per_fold_balanced_accuracies.csv

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shap_summary_class_0.png

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shap_summary_class_1.png

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shap_summary_class_2.png

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