https://pypi.org/project/superior-scoring-rules/ Recent updates to the Python Package Index for superior-scoring-rules en https://pypi.org/project/superior-scoring-rules/1.0.6/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 10:48:25 GMT https://pypi.org/project/superior-scoring-rules/1.0.5/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 10:17:59 GMT https://pypi.org/project/superior-scoring-rules/1.0.4/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 10:10:54 GMT https://pypi.org/project/superior-scoring-rules/1.0.3/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 09:59:47 GMT https://pypi.org/project/superior-scoring-rules/1.0.2/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 09:59:04 GMT https://pypi.org/project/superior-scoring-rules/1.0.1/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 09:57:14 GMT https://pypi.org/project/superior-scoring-rules/1.0.0/ PBS and PLL are superior evaluation metrics for probabilistic classifiers, fixing flaws in Brier Score (MSE) and Log Loss (Cross-Entropy). Strictly proper, consistent, and better for model selection, early stopping, and checkpointing. ruhallah.ahmadian@gmail.com Sat, 17 May 2025 06:19:17 GMT