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, voted perceptrons, multi-laver perceptron
• Schemes for numeric prediction include:
  • linear regression, model tree generators, locally weighted regression, instance-based learners, decision tables, multi-laver perceptron
• Meta-schemes include:
  • Bagging, boosting, stacking, regression via classification, classification via regression, cost sensitive classification
• Schemes for clustering:
  • EM and Cobweb