OpenML
Supervised Classification on lymph

Supervised Classification on lymph

Task 10 Supervised Classification lymph 904 runs submitted
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Niels Hellinga 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(16) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8519, kappa: 0.7238, kb_relative_information_score: 83.7194, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8624, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6528,
Niels Hellinga 8 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(6) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7479, kappa: 0.5303, kb_relative_information_score: 73.1963, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9714,
Niels Hellinga 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7932, kappa: 0.6088, kb_relative_information_score: 73.9347, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7942, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7317,
Stefan Majoor 8 years ago
ran flow mlr.classif.randomForest(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8626, kappa: 0.7483, kb_relative_information_score: 101.5028, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8633, predictive_accuracy: 0.8716, prior_entropy: 1.2818, recall: 0.8716, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.6961,
Stefan Majoor 8 years ago
ran flow mlr.classif.randomForest(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Stefan Majoor 8 years ago
ran flow mlr.classif.rpart(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8259, kappa: 0.6849, kb_relative_information_score: 84.4716, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8148, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.6702,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:run" must be terminated by the matching end-tag "".
Inge Sandstad Skrondal 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
shir fall 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Inge Sandstad Skrondal 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : XML document structures must start and end within the same entity.
Krissy Mcleod 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Mujahid Raji 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Carlos Gonzalez 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The content of elements must consist of well-formed character data or markup.
Arvid Lundervold 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The content of elements must consist of well-formed character data or markup.
Knut Erik Knutsen 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641601/4641601.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Arvid Lundervold 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Arvid Lundervold 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641496/4641496.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Alexander Lundervold 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Knut Erik Knutsen 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641446/4641446.arff?api_key=48830dd663e41d5cb689016a072e6ec1
XY Yuan 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641442/4641442.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Philipp Lösel 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641437/4641437.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Nikolai Sellereite 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641432/4641432.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Per Aaslid 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641426/4641426.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641415/4641415.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641413/4641413.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:parameter_setting" must be terminated by the matching end-tag "".
Jonathan Stroud 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7895, kappa: 0.6032, kb_relative_information_score: 76.9161, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.79, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.721,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8116, kappa: 0.6519, kb_relative_information_score: 81.0978, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8195, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6998,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Andrey Ustyuzhanin 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8229, kappa: 0.6688, kb_relative_information_score: 80.1407, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8243, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7078,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8058, kappa: 0.6316, kb_relative_information_score: 82.9857, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.6817,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8058, kappa: 0.6316, kb_relative_information_score: 82.9857, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.6817,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8058, kappa: 0.6316, kb_relative_information_score: 82.9857, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.6817,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8058, kappa: 0.6316, kb_relative_information_score: 82.9857, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.6817,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8058, kappa: 0.6316, kb_relative_information_score: 82.9857, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.6817,
Maarten Visscher 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8105, kappa: 0.6472, kb_relative_information_score: 75.4681, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8052, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.267, root_relative_squared_error: 0.7336,
Christiaan Dirkx 8 years ago
ran flow mlr.classif.rpart(25) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Christiaan Dirkx 8 years ago
ran flow mlr.classif.rpart(25) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.803, kappa: 0.631, kb_relative_information_score: 76.3023, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8017, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.6972,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7838, kappa: 0.5871, kb_relative_information_score: 82.6006, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8006, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6606,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.7811, kappa: 0.5871, kb_relative_information_score: 76.0265, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7929, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.7187,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8267, kappa: 0.6821, kb_relative_information_score: 76.8781, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8296, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7259,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8326, kappa: 0.6942, kb_relative_information_score: 81.8818, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8363, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.247, root_relative_squared_error: 0.6787,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7776, kappa: 0.5834, kb_relative_information_score: 78.5186, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7883, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.7106,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8281, kappa: 0.6797, kb_relative_information_score: 79.8066, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8343, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6932,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7994, kappa: 0.6278, kb_relative_information_score: 76.4405, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8036, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6998,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8383, kappa: 0.6964, kb_relative_information_score: 78.7298, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8514, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6865,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8299, kappa: 0.6826, kb_relative_information_score: 79.9994, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6992,
Christiaan Dirkx 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7755, kappa: 0.5775, kb_relative_information_score: 79.4626, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7762, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6971,
Daan de Graaf 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8006, kappa: 0.623, kb_relative_information_score: 82.769, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7994, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.6875,
Daan de Graaf 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8164, kappa: 0.6573, kb_relative_information_score: 81.9028, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.815, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.6954,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7996, kappa: 0.6264, kb_relative_information_score: 81.4759, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.806, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6706,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8228, kappa: 0.6693, kb_relative_information_score: 83.675, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8229, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.6768,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7819, kappa: 0.5878, kb_relative_information_score: 76.8851, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7851, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.747,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7683, kappa: 0.5628, kb_relative_information_score: 78.8687, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7688, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.6939,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8451, kappa: 0.7125, kb_relative_information_score: 80.0274, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8409, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.689,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.7667, kappa: 0.5732, kb_relative_information_score: 77.2728, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7518, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.7135,
Francisco Lozano 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.7676, kappa: 0.5596, kb_relative_information_score: 78.888, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7732, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.719,
Daan de Graaf 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(14) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.7918, kappa: 0.6137, kb_relative_information_score: 72.9973, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.791, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7171,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8363, kappa: 0.6958, kb_relative_information_score: 79.1636, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8364, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7034,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8164, kappa: 0.6561, kb_relative_information_score: 81.3782, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8169, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7043,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8168, kappa: 0.6659, kb_relative_information_score: 80.201, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8119, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.6987,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8103, kappa: 0.6441, kb_relative_information_score: 80.4905, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8095, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.6989,
Joaquin Vanschoren 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8027, kappa: 0.6304, kb_relative_information_score: 74.8113, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8096, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.7114,
Josep Pon Farreny 8 years ago
ran flow sklearn.svm.classes.SVC(4) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7748, kappa: 0.5767, kb_relative_information_score: 70.0312, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7746, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.733,
Josep Pon Farreny 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8083, kappa: 0.6397, kb_relative_information_score: 82.435, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8147, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.6895,
Josep Pon Farreny 8 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(3) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7738, kappa: 0.5739, kb_relative_information_score: 81.7468, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7715, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9174,
Josep Pon Farreny 8 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(3) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7707, kappa: 0.5711, kb_relative_information_score: 80.1477, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7758, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9312,
Josep Pon Farreny 8 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(3) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7712, kappa: 0.5726, kb_relative_information_score: 79.529, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7663, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9174,
Peter Bloem 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8049, kappa: 0.6348, kb_relative_information_score: 80.1919, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8006, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.7032,
Peter Bloem 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8486, kappa: 0.7121, kb_relative_information_score: 85.8566, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8543, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6706,
Peter Bloem 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8368, kappa: 0.6963, kb_relative_information_score: 80.8248, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8364, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.6904,
Peter Bloem 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.7949, kappa: 0.6131, kb_relative_information_score: 77.353, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8089, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.7137,
Peter Bloem 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8342, kappa: 0.6869, kb_relative_information_score: 78.0616, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8343, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.7114,
Shyam Kumar Gopal 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Shyam Kumar Gopal 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Shyam Kumar Gopal 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.randomForest(19) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Joaquin Vanschoren 8 years ago
ran flow mlr.classif.rpart(23) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Casey Davis 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(12) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8412, kappa: 0.6979, kb_relative_information_score: 83.5949, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8505, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.6742,
Casey Davis 8 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(12) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8412, kappa: 0.6979, kb_relative_information_score: 83.5949, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8505, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.6742,
Jakob Bossek 8 years ago
ran flow mlr.classif.ksvm(5) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8447, kappa: 0.714, kb_relative_information_score: 99.1142, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8394, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Jakob Bossek 8 years ago
ran flow mlr.classif.ksvm(5) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7784, kappa: 0.6009, kb_relative_information_score: 83.7277, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8152, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9034,
Jakob Bossek 8 years ago
ran flow mlr.classif.ksvm(5) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8237, kappa: 0.6727, kb_relative_information_score: 94.3169, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8214, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.7985,
Jakob Bossek 8 years ago
ran flow mlr.classif.ksvm(5) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8237, kappa: 0.6727, kb_relative_information_score: 94.3169, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8214, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.7985,
Giuseppe Casalicchio 8 years ago
ran flow mlr.classif.ksvm(4) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8447, kappa: 0.714, kb_relative_information_score: 99.1142, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8394, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Giuseppe Casalicchio 8 years ago
ran flow mlr.classif.ksvm(4) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7784, kappa: 0.6009, kb_relative_information_score: 83.7277, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8152, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9034,
Giuseppe Casalicchio 8 years ago
ran flow mlr.classif.ksvm(4) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8237, kappa: 0.6727, kb_relative_information_score: 94.3169, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8214, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.7985,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.randomForest(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.randomForest(13) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8432, kappa: 0.7101, kb_relative_information_score: 96.801, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8417, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

estimation_procedure 10-fold Crossvalidation
evaluation_measures predictive_accuracy
source_data lymph (1)
target_feature class

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs