Supervised Neural Network Classification Algorithm: Difference between revisions
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** a [[Supervised Neural Network Ranking Algorithm]]. | ** a [[Supervised Neural Network Ranking Algorithm]]. | ||
** a [[Supervised Neural Network Estimation Algorithm]]. | ** a [[Supervised Neural Network Estimation Algorithm]]. | ||
** a [[Supervised Decision Tree-based Classification Algorithm]] | ** a [[Supervised Decision Tree-based Classification Algorithm]]. | ||
* <B>See:</B> [[Backprop]]. | * <B>See:</B> [[Backprop]]. | ||
Latest revision as of 18:43, 4 October 2023
A Supervised Neural Network Classification Algorithm is a Supervised Classification Algorithm that is a Neural Network Training Algorithm.
- …
- Counter-Example(s):
- See: Backprop.
References
2006
- (Caruana & Niculescu-Mizil, 2006) ⇒ Rich Caruana, and Alexandru Niculescu-Mizil. (2006). “An Empirical Comparison of Supervised Learning Algorithms.” In: Proceedings of the 23rd International Conference on Machine learning. ISBN:1-59593-383-2 doi:10.1145/1143844.1143865
- QUOTE: This paper presents results of a large-scale empirical comparison of ten supervised learning algorithms using eight performance criteria. We evaluate the performance of SVMs, neural nets, logistic regression, naive bayes, memory-based learning, random forests, decision trees, bagged trees, boosted trees, and boosted stumps on eleven binary classification problems using a variety of performance metrics: accuracy, F-score, Lift, ROC Area, average precision, precision/recall break-even point, squared error, and cross-entropy.