Learner mlr.classif.ranger from package(s) ranger.
1231352 runs0 likes54 downloads54 reach1 impact
Learner mlr.classif.xgboost from package(s) xgboost.
1029849 runs1 likes21 downloads22 reach2 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
389 runs1 likes20 downloads21 reach360 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.
786 runs0 likes16 downloads16 reach642 impact
Weka implementation of ZeroR
892 runs0 likes14 downloads14 reach722 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3098 runs0 likes14 downloads14 reach2965 impact
Moa implementation of NaiveBayes
291 runs0 likes14 downloads14 reach78 impact
Learner classif.randomForest from package(s) randomForest.
213 runs0 likes12 downloads12 reach204 impact
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
40298 runs0 likes11 downloads11 reach728 impact
Weka implementation of REPTree
932 runs0 likes11 downloads11 reach894 impact
Subgroup Discovery search algorithm.
1171422 runs1 likes10 downloads11 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1069 runs0 likes10 downloads10 reach296 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 (2001). Random Forests. Machine Learning. 45(1):5-32.
2925 runs0 likes10 downloads10 reach683 impact
Learner mlr.classif.glmnet from package(s) glmnet.
1121355 runs0 likes10 downloads10 reach1 impact
Weka implementation of RandomTree
88 runs0 likes9 downloads9 reach85 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes9 downloads9 reach963 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
739 runs0 likes8 downloads8 reach648 impact
Weka implementation of REPTree
77 runs0 likes8 downloads8 reach13 impact
Weka implementation of ZeroR
903 runs0 likes8 downloads8 reach565 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
Weka implementation of MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 impact
A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not…
270 runs0 likes8 downloads8 reach53 impact
Moa implementation of HoeffdingAdaptiveTree
262 runs0 likes8 downloads8 reach48 impact
Automatically created scikit-learn flow.
88 runs0 likes7 downloads7 reach26 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
47 runs0 likes7 downloads7 reach46 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 likes7 downloads7 reach1387 impact
Flow generated by openml_run
33 runs0 likes7 downloads7 reach24 impact
Weka implementation of BayesNet
252 runs0 likes7 downloads7 reach222 impact
Flow generated by openml_run
21 runs0 likes6 downloads6 reach17 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
14284 runs0 likes6 downloads6 reach0 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.
62 runs0 likes6 downloads6 reach60 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
829 runs0 likes6 downloads6 reach56 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…
77 runs0 likes6 downloads6 reach73 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
9544 runs0 likes6 downloads6 reach9433 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2900 runs0 likes6 downloads6 reach2064 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
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
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
5 runs0 likes5 downloads5 reach4 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1855 runs0 likes5 downloads5 reach58 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
7 runs0 likes5 downloads5 reach6 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 BayesNet
10761 runs0 likes5 downloads5 reach619 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
Learner classif.rpart from package(s) rpart.
190 runs0 likes5 downloads5 reach190 impact
Flow generated by openml_run
55 runs0 likes5 downloads5 reach17 impact
Flow generated by openml_run
12 runs0 likes5 downloads5 reach8 impact
Automatically created scikit-learn flow.
138771 runs0 likes5 downloads5 reach0 impact
Learner mlr.classif.svm from package(s) e1071.
937928 runs0 likes4 downloads4 reach937926 impact
Automatically created scikit-learn flow.
249475 runs1 likes4 downloads5 reach0 impact
Weka implementation of BayesNet
210 runs0 likes4 downloads4 reach22 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
615 runs0 likes4 downloads4 reach500 impact
Weka implementation of MultilayerPerceptron
83 runs0 likes4 downloads4 reach59 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
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
2483 runs0 likes4 downloads4 reach86 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
4769 runs0 likes4 downloads4 reach63 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
56 runs0 likes4 downloads4 reach48 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.
619 runs0 likes4 downloads4 reach55 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes4 downloads4 reach8 impact
Weka implementation of CostSensitiveClassifier
10 runs0 likes4 downloads4 reach6 impact
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 impact
Weka implementation of FilteredClassifier
1216 runs0 likes4 downloads4 reach1214 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
11893 runs0 likes4 downloads4 reach68 impact
Weka implementation of FilteredClassifier
13669 runs0 likes4 downloads4 reach144 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
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
41 runs0 likes4 downloads4 reach30 impact
Learner classif.J48 from package(s) RWeka.
193 runs0 likes4 downloads4 reach192 impact
Learner classif.randomForest from package(s) randomForest.
191 runs0 likes4 downloads4 reach181 impact
Weka implementation of ZeroR
232 runs0 likes4 downloads4 reach200 impact
Moa implementation of OzaBag
257 runs0 likes4 downloads4 reach54 impact
Moa implementation of OzaBoost
252 runs0 likes4 downloads4 reach46 impact
Moa implementation of RandomHoeffdingTree
245 runs0 likes4 downloads4 reach39 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes3 downloads3 reach56 impact
Flow generated by run_task
10 runs0 likes3 downloads3 reach4 impact
Flow generated by run_task
7 runs0 likes3 downloads3 reach6 impact
Flow generated by run_task
14 runs0 likes3 downloads3 reach11 impact
Learner mlr.classif.ranger from package(s) ranger.
573666 runs0 likes3 downloads3 reach1 impact
Learner mlr.classif.glmnet from package(s) glmnet.
106003 runs0 likes3 downloads3 reach1 impact
Learner classif.rpart from package rpart.
94 runs0 likes3 downloads3 reach94 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
482 runs0 likes3 downloads3 reach470 impact
Weka implementation of DecisionStump
57 runs0 likes3 downloads3 reach2 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,…
698 runs0 likes3 downloads3 reach536 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
671 runs0 likes3 downloads3 reach515 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
621 runs0 likes3 downloads3 reach502 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
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
38 runs0 likes3 downloads3 reach37 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.
2487 runs0 likes3 downloads3 reach35 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.
3 runs0 likes3 downloads3 reach3 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
76 runs0 likes3 downloads3 reach75 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1014 runs0 likes3 downloads3 reach55 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…
547 runs0 likes3 downloads3 reach2 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
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
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes3 downloads3 reach3 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
6 runs0 likes3 downloads3 reach2 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
10 runs0 likes3 downloads3 reach10 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
3 runs0 likes3 downloads3 reach2 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
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