DEVELOPMENT... OpenML
OpenML

A PHP Error was encountered

Severity: Notice

Message: Undefined property: MY_Loader::$userinfo

Filename: u/body.php

Line Number: 1

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 1
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Notice

Message: Trying to access array offset on value of type null

Filename: u/body.php

Line Number: 1

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 1
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Notice

Message: Undefined property: MY_Loader::$userinfo

Filename: u/body.php

Line Number: 1

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 1
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Notice

Message: Trying to access array offset on value of type null

Filename: u/body.php

Line Number: 1

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 1
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

Search these flows in more detail

A PHP Error was encountered

Severity: Notice

Message: Undefined property: MY_Loader::$userinfo

Filename: subpage/user_flows.php

Line Number: 2

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/subpage/user_flows.php
Line: 2
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 40
Function: view

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 17
Function: subpage

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Notice

Message: Trying to access array offset on value of type null

Filename: subpage/user_flows.php

Line Number: 2

Backtrace:

File: /var/www/openml/openml_OS/views/pages/frontend/u/subpage/user_flows.php
Line: 2
Function: _error_handler

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 40
Function: view

File: /var/www/openml/openml_OS/views/pages/frontend/u/body.php
Line: 17
Function: subpage

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 314
Function: loadpage

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

's flows

flow
keras.engine.sequential.Sequential.4a701663 (1)
Automatically created keras flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.ExtraTreeClassifier (26)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (5)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.imputation.Imputer (39)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing._encoders.OneHotEncoder (10)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.logistic.LogisticRegression (22)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (36)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
sklearn.tree.tree.ExtraTreeClassifier (22)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (4)
Automatically created scikit-learn flow.
11 runs0 likes0 downloads0 reach9 impact
sklearn.preprocessing.imputation.Imputer (20)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (22)
Automatically created scikit-learn flow.
21 runs0 likes0 downloads0 reach21 impact
sklearn.pipeline.Pipeline(Statistical_normalization=sklearn.preprocessing.data.StandardScaler,Decision_tree=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
weka.ZeroR (17)
Weka implementation of ZeroR
95 runs0 likes0 downloads0 reach94 impact
sklearn.neighbors.classification.KNeighborsClassifier (16)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.logistic.LogisticRegression (9)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (5)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach2 impact
sklearn.preprocessing.imputation.Imputer (8)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (12)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble.forest.ExtraTreesClassifier (7)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (14)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (11)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (4)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (9)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (3)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.imputation.Imputer (5)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.OneHotEncoder (6)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (19)
Automatically created scikit-learn flow.
13 runs0 likes0 downloads0 reach12 impact
sklearn.tree.tree.ExtraTreeClassifier (2)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach1 impact
weka.LogitBoost_DecisionStump (11)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
4 runs0 likes0 downloads0 reach1 impact
weka.DecisionStump (8)
Weka implementation of DecisionStump
17 runs0 likes0 downloads0 reach17 impact
weka.J48 (38)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
462 runs0 likes0 downloads0 reach448 impact
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,et=sklearn.ensemble.forest.ExtraTreesClassifier,gb=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.logistic.LogisticRegression (3)
Automatically created sub-component.
45 runs0 likes1 downloads1 reach35 impact
sklearn.neighbors.classification.KNeighborsClassifier (7)
Automatically created sub-component.
119 runs0 likes0 downloads0 reach64 impact
mlr.classif.randomForest (22)
Learner mlr.classif.randomForest from package(s) randomForest.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (26)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (4)
Flow generated by run_task
100 runs0 likes0 downloads0 reach60 impact
sklearn.pipeline.Pipeline(sklearn.preprocessing.imputation.Imputer,sklearn.preprocessing.data.OneHotEncoder,sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (2)
Weka implementation of FilteredClassifier
9 runs0 likes0 downloads0 reach8 impact
weka.CostSensitiveClassifier_RandomForest (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.RandomForest (10)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
12 runs0 likes0 downloads0 reach12 impact
sklearn.preprocessing.imputation.Imputer (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.OneHotEncoder (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (19)
Learner mlr.classif.randomForest from package(s) randomForest.
21 runs0 likes0 downloads0 reach5 impact
mlr.classif.rpart (23)
Learner mlr.classif.rpart from package(s) rpart.
26 runs0 likes0 downloads0 reach4 impact
mlr.classif.randomForest (8)
Learner mlr.classif.randomForest from package(s) randomForest.
15 runs0 likes0 downloads0 reach1 impact
sklearn.tree.tree.DecisionTreeClassifier (2)
Flow generated by run_task
8 runs0 likes0 downloads0 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
325b3936TESTSENTINEL999openml.sklearn.model_selection.KFold (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.pipeline.Pipeline(sklearn.preprocessing.data.OneHotEncoder__sklearn.preprocessing.data.StandardScaler__sklearn.pipeline.FeatureUnion(sklearn.preprocessing.data.PolynomialFeatures__sklearn.decomposition.pca.PCA)__sklearn.ensemble.weight_boosting.AdaBoostClassifier(sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.OneHotEncoder (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.StandardScaler (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.pipeline.FeatureUnion(sklearn.preprocessing.data.PolynomialFeatures__sklearn.decomposition.pca.PCA) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.PolynomialFeatures (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.decomposition.pca.PCA (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.ensemble.weight_boosting.AdaBoostClassifier(sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.tree.tree.DecisionTreeClassifier (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (1)
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
sklearn.ensemble.forest.RandomForestClassifier (10)
Flow generated by openml_run
33 runs0 likes7 downloads7 reach24 impact
moa.BlastDecayed (5)
Moa implementation of BlastDecayed
1 runs0 likes1 downloads1 reach0 impact
classif.knn (1)
Learner classif.knn from package(s) class.
17 runs0 likes1 downloads1 reach0 impact
moa.StackingAttemptV2_SPegasos (2)
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
moa.StackingAttemptV2_Perceptron (2)
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
moa.NaiveBayesMultinomial (2)
Moa implementation of NaiveBayesMultinomial
1 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (9)
Flow generated by openml_run
12 runs0 likes5 downloads5 reach8 impact
weka.FilteredClassifier_ReplaceMissingValues_MIWrapper (1)
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.MIWrapper (1)
E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_ReplaceMissingValues_MDD (1)
Weka implementation of FilteredClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.MDD (1)
Oded Maron (1998). Learning from ambiguity. O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10.
2 runs0 likes1 downloads1 reach0 impact
weka.MIBoost_ZeroR (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
weka.Vote_ZeroR (3)
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 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_NaiveBayes (2)
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (5)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_M5P (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.Vote_Bagging_REPTree (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 likes1 downloads1 reach0 impact
weka.Bagging_REPTree (20)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayes (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
141 runs0 likes1 downloads1 reach140 impact
weka.Bagging_LinearRegression (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.MultiScheme_ZeroR (2)
Weka implementation of MultiScheme
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Bagging_J48 (1)
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 impact
weka.Bagging_J48 (6)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiScheme_REPTree (1)
Weka implementation of MultiScheme
126 runs0 likes1 downloads1 reach125 impact
weka.Bagging_RandomForest (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
363 runs0 likes2 downloads2 reach363 impact
weka.Bagging_Logistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes1 downloads1 reach1 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree (3)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_REPTree (19)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (3)
Weka implementation of MultiClassClassifierUpdateable
127 runs0 likes1 downloads1 reach125 impact
weka.AdaBoostM1_Bagging_REPTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2 runs0 likes1 downloads1 reach2 impact
weka.Bagging_REPTree (18)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (4)
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,…
400 runs0 likes3 downloads3 reach361 impact
weka.RBFKernel (4)
Weka implementation of RBFKernel
0 runs0 likes0 downloads0 reach0 impact
classif.randomForest (40)
Learner classif.randomForest from package(s) randomForest.
10 runs0 likes1 downloads1 reach0 impact
weka.AdditiveRegression_REPTree (2)
J.H. Friedman (1999). Stochastic Gradient Boosting.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_J48 (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.RandomForest (8)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
1088 runs0 likes1 downloads1 reach1088 impact
classif.lda (5)
Learner classif.lda from package(s) MASS.
9 runs0 likes1 downloads1 reach0 impact
weka.ADTree (1)
Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
0 runs0 likes0 downloads0 reach0 impact