1 Machine Learning Algorithms faster learning than MetaOptimizer
CategoriesShowing 1 to 25 from 1 items.
Facts about Machine Learning Algorithms faster learning than MetaOptimizer
- StreamLearner
- StreamLearner uses Supervised Learning learning approach
- The primary use case of StreamLearner is Classification
- The computational complexity of StreamLearner is Low.
- StreamLearner belongs to the Linear Models family.
- The key innovation of StreamLearner is Concept Drift.
- StreamLearner is used for Classification