Flow
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
Moa implementation of NaiveBayes
291 runs0 likes14 downloads14 reach78 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3098 runs0 likes14 downloads14 reach2965 impact
Weka implementation of ZeroR
892 runs0 likes14 downloads14 reach722 impact
Learner classif.randomForest from package(s) randomForest.
213 runs0 likes12 downloads12 reach204 impact
Learner mlr.classif.ranger from package(s) ranger.
1231351 runs0 likes12 downloads12 reach0 impact
Weka implementation of REPTree
932 runs0 likes11 downloads11 reach894 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1069 runs0 likes10 downloads10 reach296 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
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
2925 runs0 likes10 downloads10 reach683 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
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
3106 runs0 likes9 downloads9 reach963 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
389 runs1 likes9 downloads10 reach357 impact
Weka implementation of RandomTree
88 runs0 likes9 downloads9 reach85 impact
Moa implementation of HoeffdingAdaptiveTree
262 runs0 likes8 downloads8 reach48 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
Weka implementation of REPTree
77 runs0 likes8 downloads8 reach13 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 MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 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 ZeroR
903 runs0 likes8 downloads8 reach565 impact
Flow generated by openml_run
33 runs0 likes7 downloads7 reach24 impact
Weka implementation of BayesNet
252 runs0 likes7 downloads7 reach222 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
Learner mlr.classif.xgboost from package(s) xgboost.
1029847 runs1 likes7 downloads8 reach0 impact
Subgroup Discovery search algorithm.
1171422 runs0 likes7 downloads7 reach0 impact
Flow generated by openml_run
21 runs0 likes6 downloads6 reach17 impact
Learner mlr.classif.glmnet from package(s) glmnet.
1121354 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
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
9544 runs0 likes6 downloads6 reach9433 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
14284 runs0 likes6 downloads6 reach0 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
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
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
5 runs0 likes5 downloads5 reach4 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
7 runs0 likes5 downloads5 reach6 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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1855 runs0 likes5 downloads5 reach58 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
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1255 runs0 likes5 downloads5 reach158 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
Weka implementation of CostSensitiveClassifier
12 runs0 likes4 downloads4 reach8 impact
Weka implementation of CostSensitiveClassifier
10 runs0 likes4 downloads4 reach6 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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
4769 runs0 likes4 downloads4 reach63 impact
Moa implementation of OzaBag
257 runs0 likes4 downloads4 reach54 impact
Weka implementation of ZeroR
232 runs0 likes4 downloads4 reach200 impact
Moa implementation of OzaBoost
252 runs0 likes4 downloads4 reach46 impact
Moa implementation of RandomHoeffdingTree
245 runs0 likes4 downloads4 reach39 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
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
615 runs0 likes4 downloads4 reach500 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
2483 runs0 likes4 downloads4 reach86 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
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
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 impact
Weka implementation of BayesNet
10761 runs0 likes4 downloads4 reach619 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
11893 runs0 likes4 downloads4 reach68 impact
Weka implementation of FilteredClassifier
1216 runs0 likes4 downloads4 reach1214 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
Weka implementation of BayesNet
210 runs0 likes4 downloads4 reach22 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
41 runs0 likes4 downloads4 reach30 impact
Weka implementation of MultilayerPerceptron
83 runs0 likes4 downloads4 reach59 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
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
Learner classif.rpart from package(s) rpart.
31 runs0 likes3 downloads3 reach31 impact
Learner classif.IBk from package(s) RWeka.
193 runs0 likes3 downloads3 reach18 impact
Learner classif.gbm from package(s) gbm.
148 runs0 likes3 downloads3 reach20 impact
Learner classif.naiveBayes from package(s) e1071.
131 runs0 likes3 downloads3 reach2 impact
Learner classif.avNNet from package(s) nnet.
133 runs0 likes3 downloads3 reach12 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.glmnet from package(s) glmnet.
106002 runs0 likes3 downloads3 reach0 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,…
868 runs0 likes3 downloads3 reach831 impact
Moa implementation of OzaBagAdwin
199 runs0 likes3 downloads3 reach42 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
126 runs0 likes3 downloads3 reach95 impact
Moa implementation of Perceptron
337 runs0 likes3 downloads3 reach49 impact
Weka implementation of DecisionStump
126 runs0 likes3 downloads3 reach97 impact
Moa implementation of FIMTDD
195 runs0 likes3 downloads3 reach41 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
339 runs0 likes3 downloads3 reach308 impact
Moa implementation of kNN
258 runs0 likes3 downloads3 reach41 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
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
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
775 runs0 likes3 downloads3 reach747 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
124 runs0 likes3 downloads3 reach94 impact
Weka implementation of RandomTree
128 runs0 likes3 downloads3 reach100 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.
127 runs0 likes3 downloads3 reach105 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
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1717 runs0 likes3 downloads3 reach1691 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
482 runs0 likes3 downloads3 reach470 impact