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AI Classifiers Performance Analysis by RishabhAgrawal is a document available to read on EtoBox.

What is AI Classifiers Performance Analysis about?

The document compares the performance of decision trees, random forests, and neural networks on a car data classification problem. It finds that random forests have higher accuracy than decision trees, and neural networks have the highest accuracy of all but also the longest training time. Increasing the percentage of training data and number of cross-validation folds improves accuracy for decision trees and random forests.

Author

RishabhAgrawal

Language

EN