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
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 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
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
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 regr.rpart from package(s) rpart.
5 runs0 likes1 downloads1 reach0 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
Weka implementation of MultilayerPerceptron
3391 runs0 likes8 downloads8 reach3391 impact
Learner classif.boosting from package(s) adabag, rpart.
2499 runs0 likes1 downloads1 reach0 impact
Learner classif.cforest from package(s) party.
2347 runs0 likes1 downloads1 reach0 impact
Learner classif.ctree from package(s) party.
2452 runs0 likes1 downloads1 reach0 impact
Learner classif.extraTrees from package(s) extraTrees.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.lda from package(s) MASS.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.lqa from package(s) lqa.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.mlp from package(s) RSNNS.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.nnet from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.nnTrain from package(s) deepnet.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.OneR from package(s) RWeka.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.pamr from package(s) pamr.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.plr from package(s) stepPlr.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.plsdaCaret from package(s) caret.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
5 runs0 likes2 downloads2 reach1 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.ranger from package(s) ranger.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.rda from package(s) klaR.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.rotationForest from package(s) rotationForest.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.saeDNN from package(s) deepnet.
10 runs0 likes1 downloads1 reach0 impact
Learner classif.sda from package(s) sda.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.svm from package(s) e1071.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.xgboost from package(s) xgboost.
7 runs0 likes1 downloads1 reach0 impact
Moa implementation of WeightedMajorityAlgorithm
1 runs0 likes1 downloads1 reach0 impact
Learner regr.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 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
Learner classif.IBk from package(s) RWeka.
63 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
65 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
65 runs0 likes1 downloads1 reach0 impact
Learner classif.dbnDNN from package(s) deepnet.
1179 runs0 likes1 downloads1 reach0 impact
Weka implementation of SGD
604 runs0 likes2 downloads2 reach604 impact
Learner classif.rpart from package(s) rpart.
13 runs0 likes2 downloads2 reach13 impact
Learner classif.randomForest from package(s) randomForest.
11 runs0 likes1 downloads1 reach11 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
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
72 runs0 likes1 downloads1 reach0 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…
147 runs0 likes0 downloads0 reach147 impact
No description
4 runs0 likes2 downloads2 reach2 impact
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
5 runs0 likes0 downloads0 reach5 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach1 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
230 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
353 runs0 likes2 downloads2 reach222 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
33 runs0 likes0 downloads0 reach33 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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
5 runs0 likes1 downloads1 reach5 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 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…
0 runs0 likes0 downloads0 reach0 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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach2 impact
Weka implementation of AttributeSelectedClassifier
530 runs0 likes2 downloads2 reach530 impact
M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of BestFirst
0 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach460 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…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
21 runs0 likes0 downloads0 reach21 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
Learner classif.ksvm from package(s) kernlab.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.nodeHarvest from package(s) nodeHarvest.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 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…
135 runs0 likes0 downloads0 reach135 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
182 runs0 likes0 downloads0 reach185 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 impact
Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of PolyKernel
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomCommittee
0 runs0 likes0 downloads0 reach0 impact