Core Concepts
KFC Procedure provides several estimator families for classification, regression, and ensemble learning.
Explore the concepts below to understand how each estimator works and when to use it.
KFC Procedure
Learn the core KFC workflow and how its three stages work together:
K-step → F-step → C-step
CombinedClassifier
Learn how CombinedClassifier combines predictions from multiple classifiers
to produce a final classification result.
Learn about CombinedClassifier →
MixCOBRA
Learn how MixCOBRA combines information from both feature space and prediction
space for regression.
GradientCOBRA
Learn how GradientCOBRA combines multiple regression models using
kernel-based aggregation in prediction space.