UserClassifier
Synopsis
Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit.
For more information see:
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud.. 55(3):281-292.
Options
The table below describes the options available for UserClassifier.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
Capabilities
The table below describes the capabilites of UserClassifier.
Capability |
Supported |
|---|---|
Class |
Missing class values, Binary class, Numeric class, Date class, Nominal class |
Attributes |
Binary attributes, Nominal attributes, Empty nominal attributes, String attributes, Date attributes, Numeric attributes, Missing values, Relational attributes, Unary attributes |
Min # of instances |
0 |