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BIOINFORMATICS
2000
119views more  BIOINFORMATICS 2000»
13 years 5 months ago
Assessing the accuracy of prediction algorithms for classification: an overview
Pierre Baldi, Søren Brunak, Yves Chauvin, C...
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 5 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ICMLA
2008
13 years 6 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
ICML
2001
IEEE
14 years 6 months ago
An Improved Predictive Accuracy Bound for Averaging Classifiers
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
John Langford, Matthias Seeger, Nimrod Megiddo
DKE
2007
89views more  DKE 2007»
13 years 5 months ago
The effect of threshold values on association rule based classification accuracy
Classification Association Rule Mining (CARM) systems operate by applying an Association Rule Mining (ARM) method to obtain classification rules from a training set of previousl...
Frans Coenen, Paul H. Leng