Orange: Misclassifications: Difference between revisions
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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 | ||
==Pranala Menarik== | |||
* [[Orange]] | |||
Revision as of 12:03, 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
