Statements (99)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:available_on |
gptkb:Linux
gptkb:mac_OS gptkb:Windows |
| gptkbp:developed_by |
gptkb:University_of_Waikato
|
| gptkbp:has |
gptkb:user_interface
extensive documentation a large user community a collection of datasets a command line interface for scripting a data visualization tool a graphical model editor |
| gptkbp:has_community |
online courses
mailing lists user forums |
| gptkbp:has_documentation |
API documentation
tutorials user manual |
| gptkbp:has_feature |
gptkb:user_interface
gptkb:Weka-Attribute_Selection gptkb:Weka-Text_Mining gptkb:Weka3_D gptkb:Weka_Deeplearning4j gptkb:Weka_MOOC gptkb:Biology data integration data transformation data visualization data visualization tools hyperparameter tuning time series analysis cross-validation model evaluation data cleaning ensemble methods data exploration regression clustering text classification data sampling association rule mining attribute selection |
| gptkbp:has_user_interface |
GUI
command line |
| gptkbp:has_version |
4.0.0
3.8.5 3.9.5 |
| https://www.w3.org/2000/01/rdf-schema#label |
Weka
|
| gptkbp:includes |
visualization tools
algorithms for association rule mining algorithms for classification algorithms for clustering algorithms for regression |
| gptkbp:is |
gptkb:open-source_software
cross-platform available for download used for data analysis used for research purposes used for algorithm development used in industry used in academia used for statistical analysis available as a cloud service part of the MOOC course used for benchmarking algorithms used for machine learning research used for pattern recognition used for predictive modeling widely used for educational purposes part of the Waikato Environment for Knowledge Analysis (Weka) |
| gptkbp:is_integrated_with |
gptkb:Python
gptkb:R Java applications |
| gptkbp:license |
gptkb:GNU_General_Public_License
|
| gptkbp:programming_language |
gptkb:Java
|
| gptkbp:provides |
gptkb:Biology
machine learning algorithms visualization tools ensemble methods k-means clustering support vector machines decision tree algorithms neural network algorithms k-nearest neighbors random forest algorithms |
| gptkbp:released_in |
gptkb:1997
|
| gptkbp:supports |
data preprocessing
data mining model evaluation feature selection command line interface CSV file format ARFF file format |
| gptkbp:type |
gptkb:machine_learning
|
| gptkbp:used_for |
data mining
|
| gptkbp:uses |
ARFF file format
|
| gptkbp:written_in |
gptkb:Java
|
| gptkbp:bfsParent |
gptkb:Java_2_Platform
|
| gptkbp:bfsLayer |
4
|