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  "Description": "Takes the outputs of a 'caret' confusion matrix and allows\nfor the quick conversion of these list items to lists. The\nintended usage is to allow the tool to work with the outputs of\nmachine learning classification models. This tool works with\nclassification problems for binary and multi-classification\nproblems and allows for the record level conversion of the\nconfusion matrix outputs. This is useful, as it allows quick\nconversion of these objects for storage in database systems and\nto track ML model performance over time. Traditionally, this\napproach has been used for highlighting model representation\nand feature slippage.",
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  "Repository": "https://cran.r-universe.dev",
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      "title": "Binary Confusion Matrix data frame",
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      "title": "ConfusionTableR",
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      "headings": [
        "Why is this useful",
        "Preparing the ML model to then evaluate",
        "Example:",
        "Using the native Confusion Matrix in CARET",
        "Using ConfusionTableR to collapse this data into a data frame",
        "Example",
        "Using ConfusionTableR to collapse binary confusion matrix outputs",
        "Preparing data and fitting the model",
        "Predicting the class labels using the training dataset",
        "Binary Confusion Matrix Data Frame",
        "Visualising the confusion matrix",
        "Wrapping up"
      ],
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