IB1
Package
weka.classifiers.lazy
Synopsis
Nearest-neighbour classifier. Uses normalized Euclidean distance to find the training instance closest to the given test instance, and predicts the same class as this training instance. If multiple instances have the same (smallest) distance to the test instance, the first one found is used.
For more information, see
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
Options
The table below describes the options available for IB1.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
Capabilities
The table below describes the capabilites of IB1.
Capability |
Supported |
|---|---|
Class |
Nominal class, Missing class values, Binary class |
Attributes |
Nominal attributes, Binary attributes, Date attributes, Missing values, Empty nominal attributes, Numeric attributes, Unary attributes |
Min # of instances |
0 |