Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 62836 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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62836 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8076, kappa: 0.6151, kb_relative_information_score: 1654.3817, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.9998, recall: 0.8077, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7616, kappa: 0.5252, kb_relative_information_score: 938.2555, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.769, predictive_accuracy: 0.7633, prior_entropy: 0.9998, recall: 0.7633, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8726, kappa: 0.7451, kb_relative_information_score: 2192.8235, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8726, predictive_accuracy: 0.8725, prior_entropy: 0.9998, recall: 0.8725, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -2.1902, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.1755, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7101, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7509, kappa: 0.5016, kb_relative_information_score: 1211.0804, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7509, predictive_accuracy: 0.7509, prior_entropy: 0.9998, recall: 0.7509, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.178, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -5.9583, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.775, kappa: 0.5499, kb_relative_information_score: 1771.1569, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7752, predictive_accuracy: 0.7751, prior_entropy: 0.9998, recall: 0.7751, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.7956, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8244, kappa: 0.6487, kb_relative_information_score: 1809.635, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9998, recall: 0.8244, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6865, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.3233, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8138, kappa: 0.6276, kb_relative_information_score: 1482.0917, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8148, predictive_accuracy: 0.814, prior_entropy: 0.9998, recall: 0.814, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.9782, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7458, kappa: 0.4926, kb_relative_information_score: 1032.8105, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7494, predictive_accuracy: 0.7468, prior_entropy: 0.9998, recall: 0.7468, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8593, kappa: 0.7185, kb_relative_information_score: 1856.6941, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8593, predictive_accuracy: 0.8593, prior_entropy: 0.9998, recall: 0.8593, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -11.1948, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 1660.7333, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.865, predictive_accuracy: 0.8651, prior_entropy: 0.9998, recall: 0.8651, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5527, kappa: 0.107, kb_relative_information_score: 366.7493, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.554, predictive_accuracy: 0.5531, prior_entropy: 0.9998, recall: 0.5531, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6685, root_relative_squared_error: 1.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.8324, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.63, kappa: 0.2604, kb_relative_information_score: 900.8928, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6305, predictive_accuracy: 0.63, prior_entropy: 0.9998, recall: 0.63, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7989, kappa: 0.5984, kb_relative_information_score: 1466.1679, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8009, predictive_accuracy: 0.799, prior_entropy: 0.9998, recall: 0.799, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.1927, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5798, root_relative_squared_error: 1.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5218, kappa: 0.0471, kb_relative_information_score: 170.6703, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5242, predictive_accuracy: 0.5248, prior_entropy: 0.9998, recall: 0.5248, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6893, root_relative_squared_error: 1.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -3.2028, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8498, kappa: 0.6994, kb_relative_information_score: 2149.6062, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8498, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7857, kappa: 0.5719, kb_relative_information_score: 897.1037, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7886, predictive_accuracy: 0.7863, prior_entropy: 0.9998, recall: 0.7863, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.6926, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.2431, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.405, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.0189, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.0776, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7898, kappa: 0.58, kb_relative_information_score: 1216.8993, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7923, predictive_accuracy: 0.7904, prior_entropy: 0.9998, recall: 0.7904, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8411, kappa: 0.6821, kb_relative_information_score: 1582.7886, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8412, predictive_accuracy: 0.8411, prior_entropy: 0.9998, recall: 0.8411, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -0.689, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.1623, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8967, kappa: 0.7934, kb_relative_information_score: 2452.9862, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8968, predictive_accuracy: 0.8968, prior_entropy: 0.9998, recall: 0.8968, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.6365, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7066, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 1.808, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.1029, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8728, kappa: 0.7457, kb_relative_information_score: 2231.084, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.873, predictive_accuracy: 0.8728, prior_entropy: 0.9998, recall: 0.8728, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2648, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8039, kappa: 0.6079, kb_relative_information_score: 1214.7435, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8053, predictive_accuracy: 0.8042, prior_entropy: 0.9998, recall: 0.8042, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8117, kappa: 0.6232, kb_relative_information_score: 1958.2359, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8118, predictive_accuracy: 0.8117, prior_entropy: 0.9998, recall: 0.8117, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8792, kappa: 0.7583, kb_relative_information_score: 2133.5834, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8792, predictive_accuracy: 0.8792, prior_entropy: 0.9998, recall: 0.8792, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.0997, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8265, kappa: 0.653, kb_relative_information_score: 1400.491, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8274, predictive_accuracy: 0.8267, prior_entropy: 0.9998, recall: 0.8267, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7403, kappa: 0.4834, kb_relative_information_score: 234.0207, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7489, predictive_accuracy: 0.7425, prior_entropy: 0.9998, recall: 0.7425, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6359, kappa: 0.2767, kb_relative_information_score: 954.0137, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6418, predictive_accuracy: 0.6375, prior_entropy: 0.9998, recall: 0.6375, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.6215, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7445, kappa: 0.4911, kb_relative_information_score: 1012.0892, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7512, predictive_accuracy: 0.7463, prior_entropy: 0.9998, recall: 0.7463, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.3181, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.1633, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: 4.8035, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.712, kappa: 0.4302, kb_relative_information_score: 1244.7558, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.727, predictive_accuracy: 0.7163, prior_entropy: 0.9998, recall: 0.7163, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 3.2261, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 1.7888, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5319, kappa: 0.0679, kb_relative_information_score: 228.6937, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5346, predictive_accuracy: 0.5332, prior_entropy: 0.9998, recall: 0.5332, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6833, root_relative_squared_error: 1.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -0.9912, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.8806, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7936, kappa: 0.5889, kb_relative_information_score: 1102.1409, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7988, predictive_accuracy: 0.7941, prior_entropy: 0.9998, recall: 0.7941, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.1814, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.1192, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.5555, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 2070.9518, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 0.9998, recall: 0.8258, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7831, kappa: 0.5675, kb_relative_information_score: 1006.532, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7892, predictive_accuracy: 0.7843, prior_entropy: 0.9998, recall: 0.7843, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.406, root_relative_squared_error: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9172, kappa: 0.8344, kb_relative_information_score: 2344.6977, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.9998, recall: 0.9172, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, kb_relative_information_score: 11.6021, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 1879.9084, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8328, predictive_accuracy: 0.8322, prior_entropy: 0.9998, recall: 0.8322, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7172, kappa: 0.4382, kb_relative_information_score: 680.6129, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7267, predictive_accuracy: 0.72, prior_entropy: 0.9998, recall: 0.72, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 3.4175, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.9174, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7993, kappa: 0.5984, kb_relative_information_score: 1749.9748, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7993, prior_entropy: 0.9998, recall: 0.7993, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.4841, kappa: -0.0318, kb_relative_information_score: -107.4418, mean_absolute_error: 0.5153, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4842, predictive_accuracy: 0.4847, prior_entropy: 0.9998, recall: 0.4847, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.8365, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.2588, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -0.9716, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.4565, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7537, kappa: 0.5091, kb_relative_information_score: 556.435, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7598, predictive_accuracy: 0.7552, prior_entropy: 0.9998, recall: 0.7552, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.3036, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7552, kappa: 0.5116, kb_relative_information_score: 1201.0038, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7596, predictive_accuracy: 0.7563, prior_entropy: 0.9998, recall: 0.7563, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.8061, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8567, kappa: 0.7135, kb_relative_information_score: 2079.5832, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8572, predictive_accuracy: 0.8567, prior_entropy: 0.9998, recall: 0.8567, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 1.7143, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8071, kappa: 0.6143, kb_relative_information_score: 1593.6997, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8083, predictive_accuracy: 0.8074, prior_entropy: 0.9998, recall: 0.8074, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.6735, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -2.6355, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -12.8895, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9048, kappa: 0.8096, kb_relative_information_score: 2572.3275, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9048, predictive_accuracy: 0.9048, prior_entropy: 0.9998, recall: 0.9048, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5371,

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