OpenML
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
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
126 runs0 likes3 downloads3 reach95 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
630 runs0 likes3 downloads3 reach598 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
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
339 runs0 likes3 downloads3 reach309 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1717 runs0 likes3 downloads3 reach1691 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
775 runs0 likes3 downloads3 reach747 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 DecisionStump
126 runs0 likes3 downloads3 reach97 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
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, 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
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
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
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
4295 runs0 likes3 downloads3 reach50 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1014 runs0 likes3 downloads3 reach55 impact
Learner classif.naiveBayes from package(s) e1071.
131 runs0 likes3 downloads3 reach2 impact
Learner classif.lda from package(s) MASS.
111 runs0 likes3 downloads3 reach110 impact
Learner classif.gbm from package(s) gbm.
148 runs0 likes3 downloads3 reach20 impact
Learner classif.avNNet from package(s) nnet.
133 runs0 likes3 downloads3 reach12 impact
Learner classif.IBk from package(s) RWeka.
193 runs0 likes3 downloads3 reach18 impact
Moa implementation of kNN
258 runs0 likes3 downloads3 reach41 impact
Moa implementation of Perceptron
337 runs0 likes3 downloads3 reach49 impact
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
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
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
Weka implementation of AttributeSelectedClassifier
1166 runs0 likes3 downloads3 reach1165 impact
Learner surv.coxph from package(s) survival.
3 runs0 likes2 downloads2 reach2 impact
The performanceEstimation standardWF using svm as the learner
1 runs0 likes2 downloads2 reach0 impact
Learner classif.randomForest from package(s) randomForest.
50 runs0 likes2 downloads2 reach5 impact
Moa implementation of OzaBag
73 runs0 likes2 downloads2 reach1 impact
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach1 impact
Learner classif.lda from package(s) MASS.
67 runs0 likes2 downloads2 reach5 impact
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach2 impact
Learner classif.logreg from package(s) stats.
6 runs0 likes2 downloads2 reach5 impact
Learner classif.rpart from package(s) rpart.
6 runs0 likes2 downloads2 reach1 impact
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes2 downloads2 reach1 impact
A RapidMiner Workflow.
2 runs0 likes2 downloads2 reach0 impact
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
404 runs0 likes2 downloads2 reach8 impact
Learner classif.rpart from package(s) rpart.
3 runs0 likes2 downloads2 reach3 impact
Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
2 runs0 likes2 downloads2 reach2 impact
Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
2 runs0 likes2 downloads2 reach2 impact
Learner classif.avNNet from package(s) nnet.
2538 runs0 likes2 downloads2 reach0 impact
Learner classif.ada from package(s) ada.
2107 runs0 likes2 downloads2 reach0 impact
Learner classif.binomial from package(s) stats.
1918 runs0 likes2 downloads2 reach0 impact
Learner classif.randomForest from package(s) randomForest.
5 runs0 likes2 downloads2 reach1 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.
341 runs0 likes2 downloads2 reach341 impact
Weka implementation of SGD
604 runs0 likes2 downloads2 reach604 impact
Learner classif.rpart from package(s) rpart.
13 runs0 likes2 downloads2 reach13 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.
106 runs0 likes2 downloads2 reach106 impact
No description
4 runs0 likes2 downloads2 reach2 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
353 runs0 likes2 downloads2 reach222 impact
Weka implementation of AttributeSelectedClassifier
530 runs0 likes2 downloads2 reach530 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach460 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
314 runs0 likes2 downloads2 reach314 impact
Learner classif.gbm from package(s) gbm.
11 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.
198 runs0 likes2 downloads2 reach198 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes2 downloads2 reach131 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
266 runs0 likes2 downloads2 reach266 impact
Weka implementation of FilteredClassifier
39 runs0 likes2 downloads2 reach1 impact
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
233 runs0 likes2 downloads2 reach1 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…
145 runs0 likes2 downloads2 reach4 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…
50 runs0 likes2 downloads2 reach1 impact
Weka implementation of KernelLogisticRegression
108 runs0 likes2 downloads2 reach26 impact
Weka implementation of KernelLogisticRegression
90 runs0 likes2 downloads2 reach33 impact
Weka implementation of RBFNetwork
240 runs0 likes2 downloads2 reach37 impact
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
210 runs0 likes2 downloads2 reach58 impact
N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic…
46 runs0 likes2 downloads2 reach37 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
206 runs0 likes2 downloads2 reach39 impact
Weka implementation of HyperPipes
270 runs0 likes2 downloads2 reach36 impact
Weka implementation of Ridor
258 runs0 likes2 downloads2 reach37 impact
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
270 runs0 likes2 downloads2 reach35 impact
Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
176 runs0 likes2 downloads2 reach31 impact
Weka implementation of ConjunctiveRule
269 runs0 likes2 downloads2 reach27 impact
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
257 runs0 likes2 downloads2 reach14 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.
245 runs0 likes2 downloads2 reach25 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
308 runs0 likes2 downloads2 reach17 impact
Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
236 runs0 likes2 downloads2 reach13 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1196 runs0 likes2 downloads2 reach671 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
298 runs0 likes2 downloads2 reach31 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
268 runs0 likes2 downloads2 reach55 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes2 downloads2 reach37 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
185 runs0 likes2 downloads2 reach9 impact
Weka implementation of CostSensitiveClassifier
3 runs0 likes2 downloads2 reach2 impact
Weka implementation of CostSensitiveClassifier
11 runs0 likes2 downloads2 reach10 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
363 runs0 likes2 downloads2 reach363 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,…
137 runs0 likes2 downloads2 reach118 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 impact
Weka implementation of AttributeSelectedClassifier
839 runs0 likes2 downloads2 reach122 impact
Weka implementation of AttributeSelectedClassifier
477 runs0 likes2 downloads2 reach54 impact
A RapidMiner Workflow.
1 runs0 likes2 downloads2 reach0 impact
Moa implementation of OzaBag
450 runs0 likes2 downloads2 reach186 impact
Moa implementation of HoeffdingTree
63 runs0 likes2 downloads2 reach12 impact