Difference between revisions of "Orange: Misclassifications"
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Onnowpurbo (talk | contribs) (Created page with "Cross-validation of, say, logistic regression can expose the data instances which were misclassified. There are six such instances for iris dataset and ridge-regularized logis...") |
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* https://service.biolab.si/download/workflow?name=470-misclassification-scatterplot.ows&domain=orange | * https://service.biolab.si/download/workflow?name=470-misclassification-scatterplot.ows&domain=orange | ||
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| + | ==Pranala Menarik== | ||
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| + | * [[Orange]] | ||
Revision as of 19:03, 7 January 2020
Cross-validation of, say, logistic regression can expose the data instances which were misclassified. There are six such instances for iris dataset and ridge-regularized logistic regression. We can select different types of misclassification in Confusion Matrix and highlight them in the Scatter Plot. No surprise: the misclassified instances are close to the class-bordering regions in the scatter plot projection.
Source
- https://service.biolab.si/download/workflow?name=470-misclassification-scatterplot.ows&domain=orange