Flow
Learner mlr.classif.ranger from package(s) ranger.
1231351 runs0 likes10 downloads10 reach0 impact
Subgroup Discovery search algorithm.
1171422 runs0 likes6 downloads6 reach0 impact
Learner mlr.classif.glmnet from package(s) glmnet.
1121354 runs0 likes6 downloads6 reach0 impact
Learner mlr.classif.xgboost from package(s) xgboost.
1029595 runs1 likes6 downloads7 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
1028602 runs0 likes1 downloads1 reach1028855 impact
Learner mlr.classif.svm from package(s) e1071.
937722 runs0 likes1 downloads1 reach937923 impact
Learner mlr.classif.ranger from package(s) ranger.
572608 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.kknn from package(s) !kknn.
119520 runs0 likes0 downloads0 reach115750 impact
Learner mlr.classif.glmnet from package(s) glmnet.
106002 runs0 likes3 downloads3 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
97266 runs0 likes1 downloads1 reach93208 impact
Learner mlr.classif.xgboost from package(s) xgboost.
75580 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.svm from package(s) e1071.
74430 runs0 likes0 downloads0 reach72140 impact
Learner mlr.classif.ranger from package(s) ranger.
64870 runs0 likes0 downloads0 reach64861 impact
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
40298 runs0 likes10 downloads10 reach728 impact
Learner mlr.classif.ranger from package(s) ranger.
27854 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.kknn from package(s) !kknn.
16688 runs0 likes0 downloads0 reach16635 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
14284 runs0 likes6 downloads6 reach0 impact
Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 impact
Learner mlr.classif.xgboost from package(s) xgboost.
13531 runs0 likes1 downloads1 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…
12795 runs0 likes9 downloads9 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 reach10428 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
9544 runs0 likes6 downloads6 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 reach244 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
5944 runs0 likes2 downloads2 reach372 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
Learner mlr.regr.ksvm from package(s) kernlab.
5338 runs0 likes2 downloads2 reach2954 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
Learner mlr.classif.rpart from package(s) rpart.
4749 runs0 likes0 downloads0 reach0 impact
Weka implementation of KernelLogisticRegression
4621 runs0 likes2 downloads2 reach52 impact
Learner mlr.classif.glmnet from package(s) glmnet.
4555 runs0 likes0 downloads0 reach0 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 reach2712 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 likes3 downloads3 reach48 impact
Weka implementation of MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3388 runs0 likes2 downloads2 reach71 impact
Learner mlr.classif.xgboost from package(s) xgboost.
3386 runs0 likes0 downloads0 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes9 downloads9 reach963 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 reach683 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2900 runs0 likes6 downloads6 reach2064 impact
Learner mlr.classif.rpart.imputed.dummied.preproc from package(s) rpart.
2880 runs0 likes0 downloads0 reach0 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
Learner mlr.classif.J48.imputed.preproc from package(s) RWeka.
2791 runs0 likes0 downloads0 reach0 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 reach2708 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 mlr.classif.svm from package(s) e1071.
2543 runs0 likes0 downloads0 reach0 impact
Learner classif.avNNet from package(s) nnet.
2538 runs0 likes2 downloads2 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
Learner mlr.classif.rpart from package(s) rpart.
2492 runs0 likes0 downloads0 reach2460 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
Learner mlr.classif.ranger from package(s) ranger.
2441 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.kknn from package(s) !kknn.
2419 runs0 likes0 downloads0 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 reach1191 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