Orange: Misclassifications
Revision as of 19:03, 7 January 2020 by Onnowpurbo (talk | contribs)
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