OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
0 likes downloaded by 31 people , 58 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4443 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
ID's
Sort: most recent
4443 results
Javier Fuentes 4 years ago
ran flow sklearn.pipeline.Pipeline(knei ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9338, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302, unweighted_recall: 0.9667,
ray wright 4 years ago
ran flow mlr.classif.rpart(60) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 0.9179, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, weighted_recall: 0.94, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.12, unweighted_recall: 0.94,
Neeratyoy Mallik 4 years ago
ran flow sklearn.svm.classes.NuSVC(3) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 0.9091, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9867, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538, unweighted_recall: 0.9867,
Neeratyoy Mallik 5 years ago
ran flow sklearn.svm.classes.SVC(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9126, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2548,
Andreas Mueller 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(51) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Andreas Mueller 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(51) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
Andreas Mueller 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kappa: 0.5, kb_relative_information_score: 0.5794, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(43) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789db56c1ef ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58dc921ba22b ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58dc92081ff8 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.7544, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.442,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789db2e261f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, kappa: 0.46, kb_relative_information_score: 0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.64, prior_entropy: 1.585, recall: 0.64, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789db137e37 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, kappa: 0.46, kb_relative_information_score: 0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.64, prior_entropy: 1.585, recall: 0.64, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789db0e415f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, kappa: 0.34, kb_relative_information_score: 0.0031, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.56, prior_entropy: 1.585, recall: 0.56, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9984,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58dc9126f27c ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789da9a538f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789da94ef5f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789da68e716 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3789da636c7d ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C3776429d2b50 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9328, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2469,
Martin Hoang 5 years ago
ran flow mlr.classif.rpart(56) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 0.9179, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_training: 0.05,
Martin Hoang 5 years ago
ran flow mlr.classif.rpart(56) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 0.9179, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_training: 0.05,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C376922b93437 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.7054, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4929,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C376922a220d2 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.7054, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4929,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C376922902fbf ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.7054, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4929,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C58a837450d26 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.7544, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.442,
Martin Hoang 5 years ago
ran flow mlr.classif.rpart(56) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_training: 0.05,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C37669ff17d8f ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 105.8095, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4929,
Felix Neutatz 5 years ago
ran flow sklearn.pipeline.C37669fed7291 ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 113.1642, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.442,
Martin Hoang 5 years ago
ran flow mlr.classif.rpart(56) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_training: 0.05,
Jan van Rijn 5 years ago
ran flow weka.classifiers.trees.RandomForest(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325,
Test Test 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(21) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.9843, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
Test Test 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(6) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8937, kappa: 0.84, kb_relative_information_score: 108.5365, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8941, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5352,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(37) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
Maja Franz 5 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 140.0718, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302,
Joaquin Vanschoren 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(5) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 110.5433, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.504,
Joaquin Vanschoren 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(5) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 110.5433, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.504,
Joaquin Vanschoren 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(5) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8864, kappa: 0.83, kb_relative_information_score: 110.2559, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8864, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.531,
Jan van Rijn 5 years ago
ran flow weka.classifiers.trees.J48(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 0.9158, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 2041.2739,
Jan van Rijn 5 years ago
ran flow weka.classifiers.rules.ZeroR(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1652.5597,
Pieter Gijsbers 5 years ago
ran flow sklearn.naive_bayes.MultinomialNB(5) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 72.468, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.723,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.7171, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3712,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Pieter Gijsbers 5 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(36) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
yun tang 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6496, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4009,
yun tang 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.2003, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4027,
Joaquin Vanschoren 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9135, kappa: 0.87, kb_relative_information_score: 113.1675, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9147, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5042,
Poulomi Roy Chowdhury 5 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(18) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.7936, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.189, root_relative_squared_error: 0.401,
Lukas Brinkmeyer 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5944, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
Randolf Scholz 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9067, kappa: 0.86, kb_relative_information_score: 110.9066, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9068, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5018,
Rafael Rego Drumond 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9063, kappa: 0.86, kb_relative_information_score: 111.6768, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.906, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5103,
Lukas Brinkmeyer 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.1819, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4045,
Randolf Scholz 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.7144, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4183,
Randolf Scholz 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8342, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4013,
Randolf Scholz 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.1427, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3904,
Randolf Scholz 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.2678, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4186,
Bart Haak 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(20) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 132.7042, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4095,
JEAN-FREDERIC GAULARD 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9048, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
Marc van Meel 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(20) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.0642, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4156,
Ujjwal Gupta 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(19) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1231, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3869,
Boris Kirikov 6 years ago
ran flow sklearn.svm.classes.LinearSVC(8) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Olivier Go 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.6024, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4011,
Eelco Lambers 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(18) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.1388, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4142,
Joaquin Vanschoren 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.4941, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4155,
Arlind Kadra 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.5565, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4116,
Jan van Rijn 6 years ago
ran flow weka.IBk(15) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Joaquin Vanschoren 6 years ago
ran flow weka.ZeroR(16) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Wenjie Huang 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 131.5628, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4159,
Wenjie Huang 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9326, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.19, root_relative_squared_error: 0.403,
Qing Cai 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(29) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1102, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3236,
Qing Cai 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(29) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.9665, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3383,
Qing Cai 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(29) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.8954, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3503,
Qing Cai 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(29) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.8674, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2961,
Pieter Gijsbers 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(32) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.3757, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3146,
Pieter Gijsbers 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(32) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.8891, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.32,
Pieter Gijsbers 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(32) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.8891, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.32,
Giuseppe Casalicchio 6 years ago
ran flow mlr.classif.rpart(48) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.07,
Giuseppe Casalicchio 6 years ago
ran flow mlr.classif.rpart(48) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.07,
Bilge Celik 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.653, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4056,
Rui Quintino 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 130.4353, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9237, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.424,
Rui Quintino 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 130.5349, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4133,
Rui Quintino 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 130.9013, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4143,
Anirban Bhattacharjee 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.6884, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.41,
Anirban Bhattacharjee 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.401, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4109,
Arlind Kadra 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 131.1943, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3389, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3147,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.0623, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2973,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8511, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.5604, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2943,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0435, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4043,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3373, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3968,
Rashmi kamath 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.9879, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
Shambhavi Singh 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.8797, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4013,
Celine Verhoef 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.8078, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4012,
Nena ODriscoll 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.9887, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3237,
Nena ODriscoll 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3336, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.394,
Nena ODriscoll 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.744, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3992,
Nena ODriscoll 6 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... st.RandomForestClassifier)(12) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.754, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3961,

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 iris (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

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs