Showing posts with label arcing. Show all posts
Showing posts with label arcing. Show all posts

AI Glossary - What Is Arcing?

 



Arcing methods are a broad category of Adaptive Resampling and Combining approaches for boosting machine learning and statistical techniques' performance.

ADABOOST and bagging are two prominent examples.

In general, these strategies apply a learning technique to a training set repeatedly, such as a decision tree, and then reweight, or resample, the data and refit the learning technique to the data.

This results in a set of learning rules.

New observations are passed through all members of the collection, and the predictions or classifications are aggregated by averaging or a majority rule prediction to generate a combined result.

These strategies may provide findings that are significantly more accurate than a single classifier, but being less interpretable than a single classifier.

They can build minimum (Bayes) risk classifiers, according to research.


See Also: 


ADABOOST, Bootstrap AGGregation


~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram

AI Terms Glossary - ADABOOST

 


ADABOOST is a way for enhancing machine learning methods that was recently created.

It has the potential to greatly enhance the performance of classification methods (e.g., decision trees).

It works by repeatedly applying the procedure to the data, analyzing the findings, and then reweighting the observations to provide more weight to the misclassified instances.

By a majority vote of the individual classifiers, the final classifier employs all of the intermediate classifiers to categorize an observation.

It also has the intriguing virtue of continuing to lower the generalization error (i.e., the error in a test set) long after the training set error has stopped dropping or hit 0.



See Also: 


arcing, Bootstrap AGGregation (bagging)



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.







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