OpenML
Weka implementation of DecisionStump
1209 runs0 likes3 downloads3 reach1099 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
3638 runs0 likes3 downloads3 reach3503 impact
Weka implementation of AttributeSelectedClassifier
1166 runs0 likes3 downloads3 reach1165 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
Learner classif.rpart from package(s) rpart.
31 runs0 likes3 downloads3 reach31 impact
Weka implementation of REPTree
1093 runs0 likes3 downloads3 reach530 impact
Weka implementation of RandomTree
489 runs0 likes3 downloads3 reach96 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…
335 runs0 likes3 downloads3 reach79 impact
Weka implementation of DecisionStump
412 runs0 likes3 downloads3 reach214 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
873 runs0 likes3 downloads3 reach276 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
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
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
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
272 runs0 likes3 downloads3 reach3 impact
Learner classif.lda from package(s) MASS.
111 runs0 likes3 downloads3 reach110 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
Moa implementation of BLAST
131 runs0 likes3 downloads3 reach57 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
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
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
126 runs0 likes3 downloads3 reach95 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1717 runs0 likes3 downloads3 reach1691 impact
Weka implementation of DecisionStump
126 runs0 likes3 downloads3 reach97 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.
49 runs0 likes3 downloads3 reach37 impact
Weka implementation of RandomTree
128 runs0 likes3 downloads3 reach100 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
775 runs0 likes3 downloads3 reach747 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
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
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
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.
630 runs0 likes3 downloads3 reach598 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
339 runs0 likes3 downloads3 reach309 impact
Moa implementation of kNN
258 runs0 likes3 downloads3 reach41 impact
Moa implementation of OzaBagAdwin
199 runs0 likes3 downloads3 reach42 impact
Moa implementation of Perceptron
337 runs0 likes3 downloads3 reach49 impact
Moa implementation of FIMTDD
195 runs0 likes3 downloads3 reach41 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
8 runs0 likes3 downloads3 reach7 impact
Flow generated by openml_run
18 runs0 likes2 downloads2 reach0 impact
Weka implementation of AttributeSelectedClassifier
466 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach55 impact
Moa implementation of RuleClassifier
37 runs0 likes2 downloads2 reach7 impact
Weka implementation of MultiClassClassifier
1 runs0 likes2 downloads2 reach0 impact
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
Learner classif.xgboost from package(s) xgboost.
16 runs0 likes2 downloads2 reach10 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach54 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach60 impact
Flow generated by run_task
2 runs0 likes2 downloads2 reach1 impact
Flow generated by run_task
44 runs0 likes2 downloads2 reach7 impact
Flow generated by run_task
5 runs0 likes2 downloads2 reach4 impact
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach85 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
453 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach61 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
457 runs0 likes2 downloads2 reach59 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach58 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach57 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach271 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach279 impact
Weka implementation of AttributeSelectedClassifier
464 runs0 likes2 downloads2 reach284 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach274 impact
Weka implementation of AttributeSelectedClassifier
459 runs0 likes2 downloads2 reach379 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach148 impact
Weka implementation of AttributeSelectedClassifier
486 runs0 likes2 downloads2 reach485 impact
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
2 runs0 likes2 downloads2 reach1 impact
Learner mlr.classif.rpart from package(s) rpart.
1 runs0 likes2 downloads2 reach0 impact
Weka implementation of MultiSearch
0 runs0 likes2 downloads2 reach0 impact
Learner mlr.regr.ksvm from package(s) kernlab.
2954 runs0 likes2 downloads2 reach2954 impact
Automatically created sub-component.
295 runs0 likes2 downloads2 reach292 impact
Learner mlr.classif.kknn from package(s) !kknn.
16688 runs0 likes2 downloads2 reach16635 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…
284 runs0 likes2 downloads2 reach0 impact
Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
3 runs0 likes2 downloads2 reach2 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
120 runs0 likes2 downloads2 reach0 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
1 runs0 likes2 downloads2 reach0 impact
Learner classif.J48 from package RWeka.
69 runs0 likes2 downloads2 reach69 impact
Weka implementation of SGD
856 runs0 likes2 downloads2 reach700 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
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
272 runs0 likes2 downloads2 reach33 impact
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
805 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.
743 runs0 likes2 downloads2 reach38 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.
47 runs0 likes2 downloads2 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.
2223 runs0 likes2 downloads2 reach40 impact