Subgroup Discovery search algorithm.
1171422 runs0 likes2 downloads2 reach0 impact
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
40297 runs0 likes8 downloads8 reach727 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
14284 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 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 likes5 downloads5 reach154 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
11893 runs0 likes4 downloads4 reach68 impact
Weka implementation of BayesNet
10761 runs0 likes4 downloads4 reach619 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 reach10427 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
9544 runs0 likes5 downloads5 reach9433 impact
Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
9102 runs0 likes3 downloads3 reach56 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
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
7553 runs0 likes2 downloads2 reach7430 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 reach242 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
5944 runs0 likes2 downloads2 reach371 impact
Learner mlr.regr.ksvm from package(s) kernlab.
5911 runs0 likes1 downloads1 reach5911 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
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
5696 runs0 likes1 downloads1 reach0 impact
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
5531 runs0 likes2 downloads2 reach0 impact
Moa implementation of BlastDecayed
5124 runs0 likes2 downloads2 reach1422 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
4769 runs0 likes4 downloads4 reach63 impact
Weka implementation of KernelLogisticRegression
4621 runs0 likes2 downloads2 reach52 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
4295 runs0 likes3 downloads3 reach50 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
4077 runs0 likes1 downloads1 reach0 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
3638 runs0 likes3 downloads3 reach3503 impact
Learner mlr.regr.lm from package(s) stats.
3412 runs0 likes0 downloads0 reach3412 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
3395 runs0 likes2 downloads2 reach48 impact
Weka implementation of MultilayerPerceptron
3391 runs0 likes6 downloads6 reach3391 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3388 runs0 likes2 downloads2 reach71 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes8 downloads8 reach940 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3098 runs0 likes14 downloads14 reach2965 impact
Learner mlr.regr.rpart from package(s) rpart.
2970 runs0 likes0 downloads0 reach2970 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
2925 runs0 likes10 downloads10 reach618 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2900 runs0 likes6 downloads6 reach2063 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2878 runs0 likes2 downloads2 reach4 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2811 runs0 likes2 downloads2 reach65 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2781 runs0 likes2 downloads2 reach66 impact
Learner mlr.regr.randomForest from package(s) randomForest.
2739 runs0 likes0 downloads0 reach2739 impact
Learner mlr.regr.pcr from package(s) pls.
2708 runs0 likes0 downloads0 reach2702 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2692 runs0 likes2 downloads2 reach51 impact
Learner mlr.regr.rvm from package(s) kernlab.
2684 runs0 likes0 downloads0 reach2684 impact
Code to run H2O through MLR. https://github.com/meta-QSAR/rmetaqsar/blob/master/fnc-deeplrn.R
2556 runs0 likes0 downloads0 reach2556 impact
Learner classif.avNNet from package(s) nnet.
2538 runs0 likes1 downloads1 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2515 runs0 likes3 downloads3 reach39 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2514 runs0 likes2 downloads2 reach43 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2512 runs0 likes4 downloads4 reach44 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2511 runs0 likes2 downloads2 reach36 impact
Learner mlr.regr.penalized.ridge from package(s) !penalized.
2508 runs0 likes0 downloads0 reach2508 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
2505 runs0 likes2 downloads2 reach69 impact
Learner classif.boosting from package(s) adabag, rpart.
2499 runs0 likes1 downloads1 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2487 runs0 likes2 downloads2 reach35 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2485 runs0 likes2 downloads2 reach46 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
2483 runs0 likes4 downloads4 reach86 impact
Learner classif.ctree from package(s) party.
2452 runs0 likes1 downloads1 reach0 impact
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008). LIBLINEAR - A Library for Large Linear Classification. URL http://www.csie.ntu.edu.tw/~cjlin/liblinear/.
2404 runs0 likes2 downloads2 reach2256 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
2374 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2353 runs0 likes2 downloads2 reach49 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2350 runs0 likes2 downloads2 reach40 impact
Learner classif.cforest from package(s) party.
2347 runs0 likes1 downloads1 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2329 runs0 likes2 downloads2 reach41 impact
Moa implementation of BlastDecayed
2224 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2223 runs0 likes2 downloads2 reach40 impact
Learner mlr.regr.rsm from package(s) rsm.
2203 runs0 likes0 downloads0 reach2203 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2193 runs0 likes2 downloads2 reach38 impact
Learner classif.ada from package(s) ada.
2107 runs0 likes1 downloads1 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2099 runs0 likes2 downloads2 reach1 impact
Learner classif.binomial from package(s) stats.
1918 runs0 likes2 downloads2 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1855 runs0 likes5 downloads5 reach58 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 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,…
1833 runs0 likes3 downloads3 reach1805 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1788 runs0 likes2 downloads2 reach64 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1717 runs0 likes3 downloads3 reach1691 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…
1599 runs0 likes0 downloads0 reach0 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…
1553 runs0 likes3 downloads3 reach18 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,…
1448 runs0 likes2 downloads2 reach1316 impact
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1435 runs0 likes5 downloads5 reach1161 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1434 runs0 likes2 downloads2 reach62 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.
1391 runs0 likes6 downloads6 reach1387 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.
1262 runs0 likes2 downloads2 reach1149 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1255 runs0 likes5 downloads5 reach158 impact
Weka implementation of RandomTree
1218 runs0 likes2 downloads2 reach1181 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
1218 runs0 likes2 downloads2 reach121 impact
Weka implementation of FilteredClassifier
1216 runs0 likes3 downloads3 reach1214 impact
Weka implementation of REPTree
1213 runs0 likes2 downloads2 reach1175 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
1213 runs0 likes2 downloads2 reach825 impact
Weka implementation of AttributeSelectedClassifier
1212 runs0 likes2 downloads2 reach100 impact
Weka implementation of DecisionStump
1209 runs0 likes3 downloads3 reach1099 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,…
1208 runs0 likes2 downloads2 reach5 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
1208 runs0 likes3 downloads3 reach1097 impact
Weka implementation of HyperPipes
1207 runs0 likes2 downloads2 reach1090 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
1207 runs0 likes2 downloads2 reach1112 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…
1207 runs0 likes2 downloads2 reach82 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
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,…
1206 runs0 likes2 downloads2 reach20 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.
1205 runs0 likes8 downloads8 reach774 impact
Weka implementation of InputMappedClassifier
1203 runs0 likes2 downloads2 reach1111 impact
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
1203 runs0 likes2 downloads2 reach1166 impact
G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
1202 runs0 likes2 downloads2 reach1112 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1201 runs0 likes2 downloads2 reach1164 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
1201 runs0 likes2 downloads2 reach1156 impact