Task
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3500 Supervised Classification squash-unstored 383 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.596, kappa: 0.2891, kb_relative_information_score: 7.8242, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0478, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 1342.2845, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.7706, kappa: 0.599, kb_relative_information_score: 30.7921, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7772, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7891, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7865, kappa: 0.6227, kb_relative_information_score: 32.2793, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7867, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8017, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 1348.2804, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1280.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1329.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 1347.7267, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1360.0477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1311.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 1373.7859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1337.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1404.0159, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 1353.1504, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1312.2688,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.6255, kappa: 0.3571, kb_relative_information_score: 10.1347, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6034, predictive_accuracy: 0.6538, prior_entropy: 1.3486, recall: 0.6538, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9124, scimark_benchmark: 1263.2205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5706, kappa: 0.2353, kb_relative_information_score: 6.1462, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5728, predictive_accuracy: 0.5769, prior_entropy: 1.3486, recall: 0.5769, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0683, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7374, kappa: 0.542, kb_relative_information_score: 28.5537, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7642, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8851, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7849, kappa: 0.6176, kb_relative_information_score: 31.6665, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7971, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.8343, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.6178, kappa: 0.3316, kb_relative_information_score: 17.5911, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6224, predictive_accuracy: 0.6154, prior_entropy: 1.3486, recall: 0.6154, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.1296, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6178, kappa: 0.3316, kb_relative_information_score: 18.5591, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6224, predictive_accuracy: 0.6154, prior_entropy: 1.3486, recall: 0.6154, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.1634, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.5057, kappa: 0.1751, kb_relative_information_score: 4.0515, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5474, predictive_accuracy: 0.5192, prior_entropy: 1.3486, recall: 0.5192, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.1736, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3831, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -0.2265, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.0053, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7849, kappa: 0.6176, kb_relative_information_score: 31.4992, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7971, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.364, root_relative_squared_error: 0.8363, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7331, kappa: 0.5381, kb_relative_information_score: 25.2162, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7446, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9643, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6024, kappa: 0.3214, kb_relative_information_score: 10.1663, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5885, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9161, scimark_benchmark: 860.584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.5815, kappa: 0.2857, kb_relative_information_score: 9.98, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5712, predictive_accuracy: 0.6154, prior_entropy: 1.3486, recall: 0.6154, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9506, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7391, kappa: 0.542, kb_relative_information_score: 27.8426, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9362, scimark_benchmark: 1299.5783, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7472, kappa: 0.5481, kb_relative_information_score: 29.5086, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7599, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9069, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7849, kappa: 0.6176, kb_relative_information_score: 30.3023, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7971, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8131, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.591, kappa: 0.2701, kb_relative_information_score: 6.2524, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5932, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.0439, scimark_benchmark: 938.9967, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5762, kappa: 0.2454, kb_relative_information_score: 6.2972, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5784, predictive_accuracy: 0.5769, prior_entropy: 1.3486, recall: 0.5769, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0391, scimark_benchmark: 882.7843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5903, kappa: 0.2701, kb_relative_information_score: 6.6329, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5917, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.0367, scimark_benchmark: 901.1296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.596, kappa: 0.2891, kb_relative_information_score: 7.8242, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0478, scimark_benchmark: 929.0363,

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

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