OpenML
Supervised Classification on sleuth_ex2015

Supervised Classification on sleuth_ex2015

Task 4281 Supervised Classification sleuth_ex2015 230 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1330.9181, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5214, kappa: 0.0433, kb_relative_information_score: 36.2415, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6162, root_relative_squared_error: 1.2324, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.6966, kappa: 0.3933, kb_relative_information_score: 152.4607, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6967, predictive_accuracy: 0.6967, prior_entropy: 1, recall: 0.6967, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.909, scimark_benchmark: 1324.5762, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 123.3572, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 123.0262, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6602, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1346.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1336.2908, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 1320.0563, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.7082, kappa: 0.4167, kb_relative_information_score: 226.846, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7089, predictive_accuracy: 0.7083, prior_entropy: 1, recall: 0.7083, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9641, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1288.1375, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.5216, kappa: 0.0433, kb_relative_information_score: 39.489, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2209, scimark_benchmark: 1312.0581, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1327.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.5298, kappa: 0.0667, kb_relative_information_score: 38.9602, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5344, predictive_accuracy: 0.5333, prior_entropy: 1, recall: 0.5333, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3421, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7128, kappa: 0.4333, kb_relative_information_score: 273.1496, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7291, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9279, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7077, kappa: 0.4167, kb_relative_information_score: 113.7997, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7103, predictive_accuracy: 0.7083, prior_entropy: 1, recall: 0.7083, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.921, scimark_benchmark: 1330.0694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.675, kappa: 0.35, kb_relative_information_score: 195.0408, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.675, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0633, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6962, kappa: 0.3933, kb_relative_information_score: 123.8497, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6979, predictive_accuracy: 0.6967, prior_entropy: 1, recall: 0.6967, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9256, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7059, kappa: 0.4133, kb_relative_information_score: 127.3457, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7088, predictive_accuracy: 0.7067, prior_entropy: 1, recall: 0.7067, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9252, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 123.3572, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.6187, kappa: 0.2433, kb_relative_information_score: 90.2021, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6256, predictive_accuracy: 0.6217, prior_entropy: 1, recall: 0.6217, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0463, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.6749, kappa: 0.35, kb_relative_information_score: 205.3198, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6752, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.081, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 194.0183, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.682, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0553, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.6581, kappa: 0.3167, kb_relative_information_score: 177.8018, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6588, predictive_accuracy: 0.6583, prior_entropy: 1, recall: 0.6583, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0347, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6595, kappa: 0.32, kb_relative_information_score: 160.6509, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.661, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0125, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.654, kappa: 0.31, kb_relative_information_score: 130.3719, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6569, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0143, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7064, kappa: 0.4133, kb_relative_information_score: 124.46, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7074, predictive_accuracy: 0.7067, prior_entropy: 1, recall: 0.7067, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6256, kappa: 0.2533, kb_relative_information_score: 82.7351, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6281, predictive_accuracy: 0.6267, prior_entropy: 1, recall: 0.6267, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0407, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.675, kappa: 0.35, kb_relative_information_score: 210, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.675, predictive_accuracy: 0.675, prior_entropy: 1, recall: 0.675, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.1402, scimark_benchmark: 1404.1865,

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