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mlr.classif.rpart.tuned (4)
Learner mlr.classif.rpart.tuned from package(s) rpart.
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mlr.classif.randomForest (21)
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.ksvm (7)
Learner mlr.classif.ksvm from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg (4)
Learner mlr.classif.logreg from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (4)
Flow generated by run_task
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sklearn.preprocessing.imputation.Imputer (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.OneHotEncoder (2)
Automatically created sub-component.
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mlr.classif.ranger.preproc (3)
Learner mlr.classif.ranger.preproc from package(s) ranger.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.bagged.preproc (1)
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
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mlr.classif.nnet.preproc (2)
Learner mlr.classif.nnet.preproc from package(s) nnet.
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mlr.classif.boosting.preproc (2)
Learner mlr.classif.boosting.preproc from package(s) adabag, rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (17)
Learner mlr.classif.rpart.preproc from package(s) rpart.
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mlr.classif.rpart.bagged.preproc (2)
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc (1)
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
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mlr.weightedclasses.classif.rpart.bagged.preproc (1)
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.bagged.preproc (2)
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc (2)
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (1)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
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mlr.weightedclasses.classif.gbm.bagged.preproc (1)
Learner mlr.weightedclasses.classif.gbm.bagged.preproc from package(s) gbm.
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mlr.weightedclasses.classif.ksvm.preproc (1)
Learner mlr.weightedclasses.classif.ksvm.preproc from package(s) kernlab.
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mlr.weightedclasses.classif.C50.preproc (1)
Learner mlr.weightedclasses.classif.C50.preproc from package(s) C50.
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mlr.weightedclasses.classif.C50.bagged.preproc (1)
Learner mlr.weightedclasses.classif.C50.bagged.preproc from package(s) C50.
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mlr.weightedclasses.classif.logreg.preproc (1)
Learner mlr.weightedclasses.classif.logreg.preproc from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (2)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
4 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc (3)
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc (1)
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc (2)
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
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mlr.weightedclasses.classif.xgboost.bagged.preproc (1)
Learner mlr.weightedclasses.classif.xgboost.bagged.preproc from package(s) xgboost.
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mlr.classif.randomForestSRC (1)
Learner mlr.classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.randomForestSRC (1)
Learner mlr.weightedclasses.classif.randomForestSRC from package(s) randomForestSRC.
2 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_NaiveBayes (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomForest (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_IBk (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LogitBoost_DecisionStump (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_DecisionStump (9)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_ZeroR (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_NaiveBayes (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdaBoostM1_DecisionStump (1)
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdditiveRegression_DecisionStump (2)
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdaBoostM1_RandomForest (1)
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Vote_NaiveBayes (1)
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…
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_M5P (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_J48 (2)
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…
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_GaussianProcesses_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LinearRegression (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
6 runs0 likes0 downloads0 reach0 impact
weka.UserClassifier (1)
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud.. 55(3):281-292.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_J48 (8)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_RandomTree (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_LMT (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_RandomForest (2)
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…
6 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_LMT (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_SimpleLogistic (1)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_RandomForest (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomTree (2)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.MultilayerPerceptron (7)
Weka implementation of MultilayerPerceptron
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_Bagging (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_AdaBoostM1 (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_AdaBoostM1_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_Stacking_LogitBoost (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Stacking_LogitBoost (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.Stacking_NaiveBayes (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes0 downloads0 reach0 impact
weka.LibSVM (9)
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…
2 runs0 likes0 downloads0 reach0 impact
weka.Vote_AdaBoostM1 (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_VotedPerceptron (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_RandomForest (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomForest (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_J48 (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_J48 (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LMT (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LMT (5)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_Bagging_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_J48 (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomForest (3)
Weka implementation of CostSensitiveClassifier
5 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomForest (11)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_LogitBoost_RandomTree (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LogitBoost_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomTree (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_Bagging_J48 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_NaiveBayes (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump (3)
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_Logistic (3)
Weka implementation of MultiClassClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_RandomForest (2)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_RandomForest (1)
Weka implementation of MultiClassClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.Vote_Bagging (2)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_JRip (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_J48 (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomForest (1)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.Vote_SimpleLogistic (1)
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…
1 runs0 likes0 downloads0 reach0 impact
weka.AutoWEKAClassifier (1)
Weka implementation of AutoWEKAClassifier
1 runs0 likes0 downloads0 reach0 impact