| After many iterations, 14 falsely receives a (much) higher count than 0 (I've seen this experimentally). As you can see, the example gets
even worse as we add more (image price) nodes. In practice, this happens because (after the extension process), some covers (e.g. 1 10 14 15 ) are sa | |
|---|---|
|
Type |
Software |
|
Link |
|
|
Field |
Data Mining |
|
Source |
University of Waikato http://www.cs.waikato.ac.nz |
|
License |
GPL |
|
Programming Language |
Java |
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Weka is open source software issued under the GNU General Public License.