Supervised Neural Network Classification Algorithm

A Supervised Neural Network Classification Algorithm is a Supervised Classification Algorithm that is a Neural Network Training Algorithm.

• • …
• Counter-Example(s):
  • a Supervised Neural Network Ranking Algorithm.
  • a Supervised Neural Network Estimation Algorithm.
  • a Supervised Decision Tree-based Classification Algorithm.
• See: Backprop.

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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.

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