Screenshots
Box plot displays basic statistics of attributes.
CN2 rule induction.
Cross-validated calibration plot.
Cross-validated calibration plot.
Data can contain references to images.
Data preprocessing embedded within a learning algorithm.
Data selection in Scatter Plot is visualised in a Box Plot.
Explorative analysis with classification trees.
Feature scoring for finding interesting data projections.
Finding common misclassifications of three predictive models.
Heatmap visualisation.
Hierarchial clustering supports interactive cluster selection.
Image analytics with deep-network embedding.
Interactive gradient descent.
Intersection of misclassified data and data with low silhouette score.
Join two data sets.
Load and edit your data in the File widget.
Model-based feature scoring.
Model testing and scoring on a separate test data set.
Multidimensional scaling of Zoo data set reveals phylogeny groups.
Orange can suggest which widget to add to the workflow.
Paint a two-dimensional data set.
Playing with Paint Data and an automatic selection of clusters in k-Means.
Interactive gradient descent.
Principal component analysis with scree diagram.
Receiver operating characteristics (ROC) analysis.
Showcase for approximation by regression tree.
Sieve diagram on Titanic data set.
Topic modelling of recent tweets.
Visualizing misclassifications.
