Interactive

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• Range: Range refers to the difference between the maximum and minimum values in a dataset. It is a measure of the spread or dispersion of the data. In data science, range is often used as a simple way to understand the variability of a dataset. Ho ... Read More >>
• Bias Reduction: Bias reduction refers to the process of minimizing the impact of biases in data and algorithms in order to improve the accuracy and fairness of machine learning models. Biases can arise from various sources such as data collection, algorith ... Read More >>
• 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 >>