Flow
Weka implementation of FilteredClassifier
417 runs0 likes0 downloads0 reach416 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
391 runs0 likes0 downloads0 reach390 impact
Weka implementation of AttributeSelectedClassifier
387 runs0 likes0 downloads0 reach386 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach379 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
5944 runs0 likes2 downloads2 reach372 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
363 runs0 likes2 downloads2 reach363 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,…
400 runs0 likes3 downloads3 reach361 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
397 runs0 likes3 downloads3 reach360 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
389 runs1 likes20 downloads21 reach359 impact
Moa implementation of BlastWindowed
984 runs0 likes2 downloads2 reach346 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.
341 runs0 likes2 downloads2 reach341 impact
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 impact
Weka implementation of FilteredClassifier
336 runs0 likes0 downloads0 reach335 impact
Weka implementation of AttributeSelectedClassifier
336 runs0 likes0 downloads0 reach334 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,…
335 runs0 likes1 downloads1 reach330 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
341 runs0 likes3 downloads3 reach316 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
314 runs0 likes2 downloads2 reach314 impact
Weka implementation of AttributeSelectedClassifier
310 runs0 likes0 downloads0 reach309 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
339 runs0 likes3 downloads3 reach309 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
306 runs0 likes0 downloads0 reach304 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
302 runs0 likes3 downloads3 reach302 impact
Weka implementation of FilteredClassifier
298 runs0 likes0 downloads0 reach297 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1069 runs0 likes10 downloads10 reach296 impact
Automatically created sub-component.
295 runs0 likes2 downloads2 reach292 impact
Weka implementation of MultilayerPerceptron
291 runs0 likes0 downloads0 reach287 impact
Weka implementation of AttributeSelectedClassifier
464 runs0 likes2 downloads2 reach284 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach279 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
873 runs0 likes3 downloads3 reach276 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach274 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach271 impact
Weka implementation of AttributeSelectedClassifier
270 runs0 likes0 downloads0 reach270 impact
Weka implementation of FilteredClassifier
277 runs0 likes0 downloads0 reach267 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
266 runs0 likes2 downloads2 reach266 impact
Weka implementation of AttributeSelectedClassifier
266 runs0 likes0 downloads0 reach264 impact
Weka implementation of FilteredClassifier
256 runs0 likes0 downloads0 reach256 impact
Weka implementation of FilteredClassifier
253 runs0 likes0 downloads0 reach252 impact
John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
256 runs0 likes1 downloads1 reach249 impact
Weka implementation of AttributeSelectedClassifier
246 runs0 likes0 downloads0 reach246 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
6162 runs0 likes2 downloads2 reach244 impact
Automatically created scikit-learn flow.
239 runs0 likes1 downloads1 reach241 impact
Moa implementation of LeveragingBag
241 runs0 likes0 downloads0 reach237 impact
Moa implementation of OzaBag
236 runs0 likes0 downloads0 reach232 impact
Weka implementation of FilteredClassifier
228 runs0 likes0 downloads0 reach228 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
353 runs0 likes2 downloads2 reach222 impact
Weka implementation of BayesNet
252 runs0 likes7 downloads7 reach222 impact
Weka implementation of DecisionStump
412 runs0 likes3 downloads3 reach214 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
221 runs0 likes0 downloads0 reach214 impact
Learner classif.randomForest from package(s) randomForest.
213 runs0 likes12 downloads12 reach204 impact
Weka implementation of ZeroR
232 runs0 likes4 downloads4 reach200 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
198 runs0 likes2 downloads2 reach198 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
229 runs0 likes0 downloads0 reach192 impact
Learner classif.J48 from package(s) RWeka.
193 runs0 likes4 downloads4 reach192 impact
Learner classif.rpart from package(s) rpart.
190 runs0 likes5 downloads5 reach190 impact
Moa implementation of OzaBag
450 runs0 likes2 downloads2 reach186 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
182 runs0 likes0 downloads0 reach185 impact
Weka implementation of MultilayerPerceptronCS
227 runs0 likes2 downloads2 reach183 impact
Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.
196 runs0 likes2 downloads2 reach183 impact
Learner classif.randomForest from package(s) randomForest.
191 runs0 likes4 downloads4 reach181 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
190 runs0 likes0 downloads0 reach181 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
8855 runs0 likes2 downloads2 reach180 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes0 downloads0 reach175 impact
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
5814 runs0 likes2 downloads2 reach172 impact
Weka implementation of MultilayerPerceptron
202 runs0 likes2 downloads2 reach165 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.
159 runs0 likes1 downloads1 reach159 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
694 runs0 likes3 downloads3 reach158 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1255 runs0 likes5 downloads5 reach158 impact
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
12795 runs0 likes10 downloads10 reach154 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
152 runs0 likes1 downloads1 reach152 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.
153 runs0 likes1 downloads1 reach151 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach148 impact
Weka implementation of FilteredClassifier
148 runs0 likes0 downloads0 reach148 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
147 runs0 likes0 downloads0 reach147 impact
Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 impact
Weka implementation of FilteredClassifier
159 runs0 likes0 downloads0 reach142 impact
Weka implementation of CostSensitiveClassifier
140 runs0 likes0 downloads0 reach141 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,…
152 runs0 likes0 downloads0 reach141 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
141 runs0 likes1 downloads1 reach140 impact
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
135 runs0 likes0 downloads0 reach135 impact
Weka implementation of RandomCommittee
134 runs0 likes0 downloads0 reach134 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes2 downloads2 reach131 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
132 runs0 likes1 downloads1 reach131 impact
Weka implementation of MultiClassClassifierUpdateable
127 runs0 likes1 downloads1 reach125 impact
Weka implementation of MultiScheme
126 runs0 likes1 downloads1 reach125 impact
Moa implementation of SGD
126 runs0 likes2 downloads2 reach124 impact
Moa implementation of SPegasos
126 runs0 likes2 downloads2 reach124 impact
Weka implementation of AttributeSelectedClassifier
839 runs0 likes2 downloads2 reach122 impact
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
121 runs0 likes1 downloads1 reach121 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
1218 runs0 likes3 downloads3 reach121 impact
Weka implementation of FilteredClassifier
133 runs0 likes0 downloads0 reach120 impact
Weka implementation of Ridor
1200 runs0 likes2 downloads2 reach120 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,…
137 runs0 likes2 downloads2 reach118 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
137 runs0 likes0 downloads0 reach117 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
1206 runs0 likes2 downloads2 reach116 impact
Learner classif.lda from package(s) MASS.
111 runs0 likes3 downloads3 reach110 impact
Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
106 runs0 likes2 downloads2 reach106 impact
Automatically created sub-component.
108 runs0 likes0 downloads0 reach106 impact
Automatically created scikit-learn flow.
107 runs0 likes0 downloads0 reach106 impact