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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

Learn about KFC Procedure →

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.

Learn about MixCOBRA →

GradientCOBRA

Learn how GradientCOBRA combines multiple regression models using kernel-based aggregation in prediction space.

Learn about GradientCOBRA →