Model Interpretability: Revision history

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    3 November 2024

    • curprev 00:1600:16, 3 November 2024‎ 핵톤 talk contribs‎ 2,575 bytes +2,575‎ 새 문서: '''Model interpretability''' is the ability to understand or explain how a model performs predictions. It indicates whether a model’s decisions can be explained to humans and how well the reasoning behind them can be communicated. == Interpretability by Model Type == The following list generally starts with models that are considered to have higher interpretability. === Linear Regression === * A simple mathematical model that assigns linear coefficients to each feature,... Tag: Visual edit
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