Probability Amplitude

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• AUC-ROC: AUC-ROC (Area Under the Receiver Operating Characteristic Curve) is a performance metric used to evaluate the quality of a binary classification model. It measures the ability of the model to distinguish between positive and negative classe ... Read More >>
• Permutation Importance: Permutation Importance is a method used to determine the importance of features in a machine learning model. It works by randomly shuffling the values of a feature and measuring the resulting decrease in the model's performance. The greater ... Read More >>
• Organic Compounds: Organic compounds are molecules that contain carbon atoms bonded to hydrogen atoms, and may also contain other elements such as oxygen, nitrogen, sulfur, and phosphorus. In Data Science, organic compounds are often used in the field of chem ... Read More >>