Flow
Code to run H2O through MLR. https://github.com/meta-QSAR/rmetaqsar/blob/master/fnc-deeplrn.R
2556 runs0 likes1 downloads1 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 likes3 downloads3 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.
2442 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
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2329 runs0 likes2 downloads2 reach41 impact
Moa implementation of BlastDecayed
2224 runs0 likes0 downloads0 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.
2223 runs0 likes2 downloads2 reach40 impact
Learner mlr.regr.rsm from package(s) rsm.
2203 runs0 likes0 downloads0 reach2203 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2193 runs0 likes2 downloads2 reach38 impact
Learner classif.ada from package(s) ada.
2107 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.
2099 runs0 likes2 downloads2 reach1 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1929 runs0 likes0 downloads0 reach0 impact
Learner classif.binomial from package(s) stats.
1918 runs0 likes2 downloads2 reach0 impact
Learner mlr.classif.ranger from package(s) ranger.
1891 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1855 runs0 likes5 downloads5 reach58 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1788 runs0 likes2 downloads2 reach64 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1717 runs0 likes3 downloads3 reach1691 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…
1599 runs0 likes0 downloads0 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…
1553 runs0 likes3 downloads3 reach18 impact
Learner mlr.classif.RRF.imputed.dummied.preproc from package(s) RRF.
1540 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1519 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.glmnet from package(s) glmnet.
1503 runs0 likes0 downloads0 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,…
1448 runs0 likes2 downloads2 reach1316 impact
Weka implementation of ZeroR
1441 runs0 likes4 downloads4 reach338 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
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1434 runs0 likes2 downloads2 reach62 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
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.
1262 runs0 likes2 downloads2 reach1149 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1255 runs0 likes5 downloads5 reach158 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
Weka implementation of RandomTree
1218 runs0 likes2 downloads2 reach1181 impact
Weka implementation of FilteredClassifier
1216 runs0 likes4 downloads4 reach1214 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
1213 runs0 likes2 downloads2 reach825 impact
Weka implementation of REPTree
1213 runs0 likes2 downloads2 reach1175 impact
Weka implementation of AttributeSelectedClassifier
1212 runs0 likes2 downloads2 reach100 impact
Weka implementation of DecisionStump
1209 runs0 likes3 downloads3 reach1099 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
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,…
1208 runs0 likes2 downloads2 reach5 impact
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
1207 runs0 likes2 downloads2 reach1112 impact
Weka implementation of HyperPipes
1207 runs0 likes2 downloads2 reach1090 impact
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
1207 runs0 likes2 downloads2 reach82 impact
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
1206 runs0 likes2 downloads2 reach116 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,…
1206 runs0 likes2 downloads2 reach20 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
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
1203 runs0 likes2 downloads2 reach1166 impact
Weka implementation of InputMappedClassifier
1203 runs0 likes2 downloads2 reach1111 impact
G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
1202 runs0 likes2 downloads2 reach1112 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
1201 runs0 likes2 downloads2 reach1156 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1201 runs0 likes2 downloads2 reach1164 impact
Weka implementation of ConjunctiveRule
1201 runs0 likes2 downloads2 reach1159 impact
Weka implementation of Ridor
1200 runs0 likes2 downloads2 reach120 impact
John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
1197 runs0 likes2 downloads2 reach1111 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
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…
1195 runs0 likes2 downloads2 reach1151 impact
Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
1189 runs0 likes2 downloads2 reach1088 impact
Weka implementation of FilteredClassifier
1189 runs0 likes2 downloads2 reach1188 impact
Weka implementation of RBFClassifier
1187 runs0 likes2 downloads2 reach1135 impact
Geoff Webb: Decision Tree Grafting From the All-Tests-But-One Partition. In: , San Francisco, CA, 1999.
1183 runs0 likes2 downloads2 reach1146 impact
Learner classif.dbnDNN from package(s) deepnet.
1179 runs0 likes1 downloads1 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
1177 runs0 likes2 downloads2 reach1116 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…
1168 runs0 likes2 downloads2 reach1090 impact
Weka implementation of AttributeSelectedClassifier
1166 runs0 likes3 downloads3 reach1165 impact
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
1161 runs0 likes2 downloads2 reach34 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1144 runs0 likes0 downloads0 reach6 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.…
1141 runs0 likes1 downloads1 reach0 impact
A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.
1139 runs0 likes1 downloads1 reach0 impact
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
1135 runs0 likes1 downloads1 reach0 impact
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
1131 runs0 likes1 downloads1 reach0 impact
Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
1130 runs0 likes1 downloads1 reach0 impact
Brent Martin (1995). Instance-Based learning: Nearest Neighbor With Generalization. Hamilton, New Zealand. Sylvain Roy (2002). Nearest Neighbor With Generalization. Christchurch, New Zealand.
1128 runs0 likes2 downloads2 reach1094 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1124 runs0 likes0 downloads0 reach0 impact
Weka implementation of REPTree
1093 runs0 likes3 downloads3 reach530 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
1088 runs0 likes1 downloads1 reach1088 impact
Leland Wilkinson, Anushka Anand,, Tuan Dang : CHIRP: A new classi?er based on Composite Hypercubes on Iterated Random Projection. In: Proceedings of the 17th ACM KDD, 2011.
1083 runs0 likes2 downloads2 reach1037 impact
P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P.…
1082 runs0 likes1 downloads1 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1069 runs0 likes10 downloads10 reach296 impact