DEVELOPMENT... OpenML
People
Thomas Clark
Search these flows in more detail

Thomas's flows

flow
weka.Bagging_RandomSubSpace_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.RandomSubSpace_REPTree (7)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LogitBoost_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
182 runs0 likes0 downloads0 reach185 impact
weka.LogitBoost_DecisionStump (6)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 impact
weka.CVParameterSelection_ZeroR (3)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
weka.AdaBoostM1_M5P (1)
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
weka.LogitBoost_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (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.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (4)
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach460 impact
weka.LogitBoost_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (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.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (5)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (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_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach2 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (4)
Weka implementation of AttributeSelectedClassifier
530 runs0 likes2 downloads2 reach530 impact
weka.CfsSubsetEval (5)
M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
0 runs0 likes0 downloads0 reach0 impact
weka.BestFirst (4)
Weka implementation of BestFirst
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_LogitBoost_REPTree (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.LogitBoost_REPTree (4)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach1 impact