Learner classif.lda from package(s) MASS.
83 runs0 likes2 downloads2 reach4 impact
Automatically created scikit-learn flow.
83 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultilayerPerceptron
83 runs0 likes0 downloads0 reach82 impact
Weka implementation of AttributeSelectedClassifier
82 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.kknn.preproc.preproc.tuned from package(s) !kknn.
81 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.featureless.preproc from package(s) mlr.
81 runs0 likes0 downloads0 reach0 impact
Weka implementation.
80 runs0 likes0 downloads0 reach0 impact
Learner mlr.regr.rpart from package(s) rpart.
80 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…
80 runs0 likes0 downloads0 reach11 impact
Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
79 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
79 runs0 likes1 downloads1 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…
79 runs0 likes0 downloads0 reach0 impact
Learner mlr.regr.rpart.dummied from package(s) rpart.
79 runs0 likes1 downloads1 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…
79 runs0 likes0 downloads0 reach0 impact
Learner classif.randomForest from package(s) randomForest.
78 runs0 likes1 downloads1 reach0 impact
Please use the mlr add-on code and devel partykit package revision 1078: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
78 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.gbm.preproc from package(s) gbm.
78 runs0 likes0 downloads0 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
78 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
78 runs0 likes0 downloads0 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
78 runs0 likes0 downloads0 reach77 impact
Weka implementation of REPTree
77 runs0 likes8 downloads8 reach13 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
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…
77 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.
76 runs0 likes3 downloads3 reach75 impact
Learner classif.JRip from package RWeka.
76 runs0 likes1 downloads1 reach0 impact
Learner classif.glmboost from package(s) mboost.
76 runs0 likes2 downloads2 reach76 impact
Automatically created scikit-learn flow.
76 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
76 runs0 likes0 downloads0 reach76 impact
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,Add,BatchNormalization,Activation,AveragePooling2D,Flatten,Dense) (1)
Automatically created scikit-learn flow.
76 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
75 runs0 likes0 downloads0 reach73 impact
Automatically created scikit-learn flow.
75 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
75 runs0 likes0 downloads0 reach0 impact
Learner classif.binomial from package(s) stats.
74 runs0 likes1 downloads1 reach0 impact
Learner classif.blackboost from package(s) mboost, party.
74 runs0 likes1 downloads1 reach0 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
74 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…
74 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…
74 runs0 likes0 downloads0 reach0 impact
Moa implementation of OzaBag
73 runs0 likes2 downloads2 reach1 impact
Learner classif.qda from package(s) MASS.
73 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
72 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ctree.preproc from package(s) party.
72 runs0 likes0 downloads0 reach0 impact
Moa implementation of OzaBag
72 runs0 likes1 downloads1 reach0 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
Decision Stump classifier V3 supports native nominal features
72 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
71 runs0 likes0 downloads0 reach0 impact
Learner classif.svm from package(s) e1071.
70 runs0 likes1 downloads1 reach0 impact
Learner classif.nodeHarvest from package(s) nodeHarvest.
70 runs0 likes1 downloads1 reach0 impact
Moa implementation of RuleClassifierNBayes
70 runs0 likes2 downloads2 reach51 impact
Automatically created scikit-learn flow.
70 runs0 likes0 downloads0 reach2 impact
Learner classif.J48 from package RWeka.
69 runs0 likes2 downloads2 reach69 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
69 runs0 likes2 downloads2 reach68 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
69 runs0 likes2 downloads2 reach51 impact
Learner classif.lqa from package(s) lqa.
69 runs0 likes1 downloads1 reach0 impact
Learner classif.plsdaCaret from package(s) caret.
69 runs0 likes1 downloads1 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…
69 runs0 likes0 downloads0 reach7 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
68 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…
68 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…
68 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…
68 runs0 likes0 downloads0 reach0 impact
Learner classif.gbm from package(s) gbm.
67 runs0 likes1 downloads1 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,…
67 runs0 likes0 downloads0 reach0 impact
Learner classif.lda from package(s) MASS.
67 runs0 likes2 downloads2 reach5 impact
Learner classif.pamr from package(s) pamr.
67 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
67 runs0 likes0 downloads0 reach67 impact
Learner mlr.classif.ksvm.preproc from package(s) kernlab.
66 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.glmnet.preproc from package(s) glmnet.
66 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
66 runs0 likes2 downloads2 reach58 impact
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
66 runs0 likes2 downloads2 reach52 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…
66 runs0 likes0 downloads0 reach0 impact
Probability calibration with isotonic regression or logistic regression. The calibration is based on the :term:`decision_function` method of the `base_estimator` if it exists, else on…
66 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…
66 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…
66 runs0 likes0 downloads0 reach0 impact
Learner classif.boosting from package(s) adabag, rpart.
65 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.evtree.preproc from package(s) evtree.
65 runs0 likes0 downloads0 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.plr from package(s) stepPlr.
65 runs0 likes1 downloads1 reach0 impact
Moa implementation of kNNwithPAW
65 runs0 likes2 downloads2 reach45 impact
Moa implementation of ASHoeffdingTree
65 runs0 likes2 downloads2 reach33 impact
Learner classif.avNNet from package(s) nnet.
64 runs0 likes1 downloads1 reach0 impact
Moa implementation of DynamicWeightedMajority
64 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
64 runs0 likes0 downloads0 reach0 impact
Moa implementation of TargetMean
64 runs0 likes2 downloads2 reach62 impact
Moa implementation of MajorityVoteEnsemble
64 runs0 likes2 downloads2 reach32 impact
Moa implementation of NaiveBayes
63 runs0 likes0 downloads0 reach2 impact
Learner mlr.classif.cvglmnet.preproc from package(s) glmnet.
63 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomizableFilteredClassifier
63 runs0 likes0 downloads0 reach61 impact
Weka implementation.
63 runs0 likes0 downloads0 reach0 impact
Learner classif.IBk from package(s) RWeka.
63 runs0 likes1 downloads1 reach0 impact
Moa implementation of HoeffdingTree
63 runs0 likes2 downloads2 reach12 impact
Moa implementation of MajorityClass
63 runs0 likes2 downloads2 reach58 impact
Moa implementation of NoChange
63 runs0 likes2 downloads2 reach47 impact
Moa implementation of RandomHoeffdingTree
63 runs0 likes2 downloads2 reach40 impact
Automatically created scikit-learn flow.
63 runs0 likes0 downloads0 reach58 impact
Moa implementation of RuleClassifier
62 runs0 likes0 downloads0 reach0 impact
Moa implementation of NoChange
62 runs0 likes0 downloads0 reach0 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
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Learner mlr.classif.avNNet.preproc from package(s) nnet.
62 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.nnet.preproc from package(s) nnet.
62 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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