canagnos/mcp
Tools for Measuring Classification Performance for R, Python and Spark
When you're evaluating how well a classification model performs, these tools help you accurately measure its effectiveness. You provide the model's predictions and the actual outcomes, and it calculates key performance metrics. This is for data scientists, analysts, or anyone who builds and assesses classification models.
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Use this if you need to thoroughly understand and quantify the accuracy and reliability of your classification models.
Not ideal if you are looking for tools to build or train classification models, rather than just evaluate them.
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GPL-3.0
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Last pushed
Jun 05, 2018
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