What is WEKA? | Weka Tutorial
Answer
Answer
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
Weka
Weka
- Collection of ML algorithms – open source Java package
- https://www.cs.waikato.ac.nz/ml/weka/
- Schemes for classification include:
- decision trees,
rule learners , naive Bayes, decision tables,locally weighted regression, SVMs, instance-based learners, logistic regression, votedperceptrons , multi-laver p erceptron
- decision trees,
- Schemes for nume
ric prediction include:- linear regression, model tree generators,
locally weighted regression, instance-based learners, decision tables, multi-laver perceptron
- linear regression, model tree generators,
- Meta-
schemes include :Bagging , boosting , stacking, regression via classification, classification viaregression, cost sensitive classification
- Schemes for clustering:
- EM and Cobweb