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Does Feature Selection Improve Classification?

Does Feature Selection Improve Classification?

Created 21-02-2019 by Jan van Rijn Visibility: public
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Weka implementation of AttributeSelectedClassifier
456 runs0 likes3 downloads3 reach56 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach60 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach54 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
466 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
477 runs0 likes2 downloads2 reach54 impact
Weka implementation of AttributeSelectedClassifier
839 runs0 likes2 downloads2 reach122 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1196 runs0 likes2 downloads2 reach671 impact
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
10467 runs0 likes6 downloads6 reach10428 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach460 impact
Weka implementation of AttributeSelectedClassifier
530 runs0 likes2 downloads2 reach530 impact
Weka implementation of SGD
604 runs0 likes2 downloads2 reach604 impact
Weka implementation of MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
875 runs0 likes5 downloads5 reach875 impact
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
1203 runs0 likes8 downloads8 reach777 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
873 runs0 likes3 downloads3 reach276 impact
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
1046 runs0 likes4 downloads4 reach621 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
2925 runs0 likes10 downloads10 reach683 impact
Weka implementation of REPTree
1093 runs0 likes3 downloads3 reach530 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2900 runs0 likes6 downloads6 reach2064 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes9 downloads9 reach963 impact