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21333 results
classif.binomial (10)
Learner classif.binomial from package(s) stats.
15 runs0 likes1 downloads1 reach0 impact
classif.cforest (11)
Learner classif.cforest from package(s) party.
21 runs0 likes1 downloads1 reach0 impact
classif.glmnet (5)
Learner classif.glmnet from package(s) glmnet.
46 runs0 likes1 downloads1 reach0 impact
classif.cvglmnet (2)
Learner classif.cvglmnet from package(s) glmnet.
35 runs0 likes1 downloads1 reach0 impact
classif.ctree (9)
Learner classif.ctree from package(s) party.
31 runs0 likes1 downloads1 reach0 impact
classif.gbm (9)
Learner classif.gbm from package(s) gbm.
33 runs0 likes1 downloads1 reach0 impact
classif.kknn (7)
Learner classif.kknn from package(s) !kknn.
46 runs0 likes1 downloads1 reach0 impact
classif.JRip (12)
Learner classif.JRip from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
classif.J48 (28)
Learner classif.J48 from package(s) RWeka.
30 runs0 likes1 downloads1 reach0 impact
classif.IBk (13)
Learner classif.IBk from package(s) RWeka.
29 runs0 likes1 downloads1 reach0 impact
classif.logreg (11)
Learner classif.logreg from package(s) stats.
14 runs0 likes1 downloads1 reach0 impact
classif.lda (14)
Learner classif.lda from package(s) MASS.
21 runs0 likes1 downloads1 reach0 impact
classif.ksvm (8)
Learner classif.ksvm from package(s) kernlab.
35 runs0 likes1 downloads1 reach0 impact
classif.multinom (8)
Learner classif.multinom from package(s) nnet.
23 runs0 likes1 downloads1 reach0 impact
classif.OneR (8)
Learner classif.OneR from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
classif.nnet (7)
Learner classif.nnet from package(s) nnet.
22 runs0 likes1 downloads1 reach0 impact
classif.PART (8)
Learner classif.PART from package(s) RWeka.
34 runs0 likes1 downloads1 reach0 impact
classif.plr (9)
Learner classif.plr from package(s) stepPlr.
14 runs0 likes1 downloads1 reach0 impact
classif.probit (7)
Learner classif.probit from package(s) stats.
14 runs0 likes1 downloads1 reach0 impact
classif.rda (9)
Learner classif.rda from package(s) klaR.
28 runs0 likes1 downloads1 reach0 impact
classif.rpart (49)
Learner classif.rpart from package(s) rpart.
48 runs0 likes1 downloads1 reach0 impact
classif.bdk (5)
Learner classif.bdk from package(s) kohonen.
21 runs0 likes1 downloads1 reach0 impact
classif.dbnDNN (6)
Learner classif.dbnDNN from package(s) deepnet.
20 runs0 likes1 downloads1 reach0 impact
classif.extraTrees (7)
Learner classif.extraTrees from package(s) extraTrees.
11 runs0 likes1 downloads1 reach0 impact
classif.hdrda (6)
Learner classif.hdrda from package(s) sparsediscrim.
7 runs0 likes1 downloads1 reach0 impact
classif.lqa (7)
Learner classif.lqa from package(s) lqa.
6 runs0 likes1 downloads1 reach0 impact
classif.neuralnet (5)
Learner classif.neuralnet from package(s) neuralnet.
4 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL2LogReg (7)
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
20 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL1LogReg (7)
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
20 runs0 likes1 downloads1 reach0 impact
classif.mlp (7)
Learner classif.mlp from package(s) RSNNS.
20 runs0 likes1 downloads1 reach0 impact
classif.nnTrain (6)
Learner classif.nnTrain from package(s) deepnet.
51 runs0 likes1 downloads1 reach0 impact
classif.pamr (6)
Learner classif.pamr from package(s) pamr.
9 runs0 likes1 downloads1 reach0 impact
classif.plsdaCaret (7)
Learner classif.plsdaCaret from package(s) caret.
8 runs0 likes1 downloads1 reach0 impact
classif.saeDNN (6)
Learner classif.saeDNN from package(s) deepnet.
20 runs0 likes1 downloads1 reach0 impact
classif.sparseLDA (4)
Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
10 runs0 likes1 downloads1 reach0 impact
classif.sda (8)
Learner classif.sda from package(s) sda.
17 runs0 likes1 downloads1 reach0 impact
classif.xyf (5)
Learner classif.xyf from package(s) kohonen.
20 runs0 likes1 downloads1 reach0 impact
classif.ada (10)
Learner classif.ada from package(s) ada.
14 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (5)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (6)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (7)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.logreg (2)
Learner mlr.classif.logreg from package(s) stats.
18 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest (4)
Learner mlr.classif.randomForest from package(s) randomForest.
30 runs0 likes1 downloads1 reach0 impact
classif.logreg (12)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (58)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_RandomTree (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes1 downloads1 reach1 impact
weka.LogitBoost_REPTree (6)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes1 downloads1 reach0 impact
mlr.regr.penalized.ridge (1)
Learner mlr.regr.penalized.ridge from package(s) !penalized.
2 runs0 likes1 downloads1 reach0 impact
metasqar.deeplrn (1)
Code to run H2O through MLR. https://github.com/meta-QSAR/rmetaqsar/blob/master/fnc-deeplrn.R
2556 runs0 likes1 downloads1 reach2556 impact
mlr.classif.nnet.preproc (1)
Learner mlr.classif.nnet.preproc from package(s) nnet.
0 runs0 likes1 downloads1 reach0 impact
mlr.classif.xgboost.preproc (1)
Learner mlr.classif.xgboost.preproc from package(s) xgboost.
0 runs0 likes1 downloads1 reach0 impact
rm.process.k_nn (1)
A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
rm.process.adaboost_decision_stump (1)
A RapidMiner Workflow.
1 runs0 likes1 downloads1 reach0 impact
rm.operator.adaboost (1)
A RapidMiner Operator
0 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_J48 (1)
Weka implementation of FilteredClassifier
114 runs0 likes1 downloads1 reach11 impact
mlr.classif.svm.preproc.preproc.tuned (81)
Learner mlr.classif.svm.preproc.preproc.tuned from package(s) e1071.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.ksvm (3)
Learner mlr.classif.ksvm from package(s) kernlab.
10 runs0 likes1 downloads1 reach0 impact
mlr.classif.ksvm (5)
Learner mlr.classif.ksvm from package(s) kernlab.
10 runs0 likes1 downloads1 reach0 impact
mlr.classif.rpart (20)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (13)
Flow generated by run_task
574 runs0 likes1 downloads1 reach569 impact
weka.RandomCommittee_Bagging_RandomTree (1)
Weka implementation of RandomCommittee
0 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline (1)
Flow generated by run_task
0 runs0 likes1 downloads1 reach0 impact
sklearn.linear_model.logistic.LogisticRegression (3)
Automatically created sub-component.
45 runs0 likes1 downloads1 reach35 impact
mlr.classif.rpart (29)
Learner mlr.classif.rpart from package(s) rpart.
1028857 runs0 likes1 downloads1 reach1028856 impact
mlr.classif.C50.preproc (78)
Learner mlr.classif.C50.preproc from package(s) C50.
0 runs0 likes1 downloads1 reach0 impact
weka.ZeroR (14)
Weka implementation of ZeroR
19 runs0 likes1 downloads1 reach17 impact
Voter.Voter (1)
Automatically created scikit-learn flow.
5 runs0 likes1 downloads1 reach0 impact
voter2.Voter (1)
Automatically created scikit-learn flow.
13 runs0 likes1 downloads1 reach0 impact
mlr.classif.rpart (31)
Learner mlr.classif.rpart from package(s) rpart.
97267 runs0 likes1 downloads1 reach93209 impact
mlr.classif.svm (7)
Learner mlr.classif.svm from package(s) e1071.
74431 runs0 likes1 downloads1 reach72141 impact
weka.RandomForest (12)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
391 runs1 likes0 downloads1 reach390 impact
weka.SMO_PolyKernel (15)
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,…
335 runs0 likes1 downloads1 reach330 impact
mlr.classif.xgboost (6)
Learner mlr.classif.xgboost from package(s) xgboost.
75581 runs0 likes1 downloads1 reach1 impact
mlr.classif.xgboost (7)
Learner mlr.classif.xgboost from package(s) xgboost.
13577 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
15 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_CostSensitiveClassifier_RandomForest (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier) (6)
Automatically created scikit-learn flow.
0 runs0 likes1 downloads1 reach0 impact
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree) (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes1 downloads1 reach0 impact
sklearn.dummy.DummyClassifier (9)
Automatically created scikit-learn flow.
1 runs0 likes1 downloads1 reach0 impact
mlr.classif.ranger (21)
Learner mlr.classif.ranger from package(s) ranger.
1 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created scikit-learn flow.
39207 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
6765 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (2)
Automatically created scikit-learn flow.
29304 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.sklearn.HPOSVM) (1)
Automatically created scikit-learn flow.
13 runs0 likes1 downloads1 reach0 impact
mlr.classif.ranger (22)
Learner mlr.classif.ranger from package(s) ranger.
0 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(clf=keras.wrappers.scikit_learn.KerasClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes1 downloads1 reach0 impact
keras.engine.sequential.Sequential(batch_normalization_1,dense_1,dropout_1,dense_2) (1)
Automatically created keras flow.
1 runs1 likes0 downloads1 reach0 impact
keras.engine.sequential.Sequential.25817FB95C28426C (1)
Automatically created keras flow.
1 runs0 likes1 downloads1 reach0 impact
keras.engine.sequential.Sequential.d24c86cb (1)
Automatically created keras flow.
1 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesMultinomial (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
36 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesMultinomialUpdateable (1)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
34 runs0 likes1 downloads1 reach0 impact
weka.NaiveBayesUpdateable (1)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
59 runs0 likes1 downloads1 reach0 impact
weka.GaussianProcesses_PolyKernel (1)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
17 runs0 likes1 downloads1 reach0 impact
weka.MultilayerPerceptron (1)
Weka implementation of MultilayerPerceptron
178 runs0 likes1 downloads1 reach0 impact
weka.SimpleLogistic (1)
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…
57 runs0 likes1 downloads1 reach0 impact
weka.KStar (1)
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.
58 runs0 likes1 downloads1 reach0 impact
weka.LWL_DecisionStump (1)
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…
56 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (1)
Weka implementation of AttributeSelectedClassifier
98 runs0 likes1 downloads1 reach0 impact
weka.ClassificationViaRegression_M5P (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
53 runs0 likes1 downloads1 reach0 impact
weka.M5P (1)
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…
25 runs0 likes1 downloads1 reach0 impact