OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7982, kappa: 0.5928, kb_relative_information_score: 1571.7625, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1179.7473, usercpu_time_millis: 2738.569, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 2736.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8084, kappa: 0.6136, kb_relative_information_score: 1625.0606, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1179.48, usercpu_time_millis: 8518.42, usercpu_time_millis_testing: 6.33, usercpu_time_millis_training: 8512.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1488, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1178.5716, usercpu_time_millis: 9.914, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 8.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7466, kappa: 0.4896, kb_relative_information_score: 1204.5078, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8334, scimark_benchmark: 1179.3687, usercpu_time_millis: 2801.872, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 2798.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1580.3246, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1171.4312, usercpu_time_millis: 1438.2, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 1436.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 975.2303, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1182.5154, usercpu_time_millis: 452.151, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 449.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7657, kappa: 0.5273, kb_relative_information_score: 1249.8524, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8195, scimark_benchmark: 1170.0422, usercpu_time_millis: 1024.172, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 1022.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7761, kappa: 0.5482, kb_relative_information_score: 1362.3037, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8042, scimark_benchmark: 1181.106, usercpu_time_millis: 4575.069, usercpu_time_millis_testing: 4.955, usercpu_time_millis_training: 4570.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8053, kappa: 0.6072, kb_relative_information_score: 1459.4335, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7696, scimark_benchmark: 1179.4852, usercpu_time_millis: 924.482, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 920.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7485, kappa: 0.4925, kb_relative_information_score: 801.1367, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8687, scimark_benchmark: 1181.4526, usercpu_time_millis: 157.059, usercpu_time_millis_testing: 2.791, usercpu_time_millis_training: 154.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7825, kappa: 0.5611, kb_relative_information_score: 1406.4087, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1177.3574, usercpu_time_millis: 4549.209, usercpu_time_millis_testing: 3.973, usercpu_time_millis_training: 4545.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7516, kappa: 0.4988, kb_relative_information_score: 1286.7378, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1181.0241, usercpu_time_millis: 4910.963, usercpu_time_millis_testing: 3.794, usercpu_time_millis_training: 4907.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 1309.0176, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1180.4084, usercpu_time_millis: 5717.272, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 5714.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1639.7245, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7604, scimark_benchmark: 1181.8186, usercpu_time_millis: 2020.778, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 2019.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.774, kappa: 0.5439, kb_relative_information_score: 1394.743, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7976, scimark_benchmark: 1180.8017, usercpu_time_millis: 5868.022, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 5863.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1478.4606, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7738, scimark_benchmark: 1178.5912, usercpu_time_millis: 2992.312, usercpu_time_millis_testing: 5.55, usercpu_time_millis_training: 2986.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0269, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1179.4032, usercpu_time_millis: 6.279, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 5.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7976, kappa: 0.5917, kb_relative_information_score: 1371.4762, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1186.3431, usercpu_time_millis: 2082.613, usercpu_time_millis_testing: 6.013, usercpu_time_millis_training: 2076.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1618.8852, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7602, scimark_benchmark: 1182.5119, usercpu_time_millis: 15198.326, usercpu_time_millis_testing: 5.621, usercpu_time_millis_training: 15192.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7871, kappa: 0.5705, kb_relative_information_score: 1436.8627, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886, scimark_benchmark: 1186.116, usercpu_time_millis: 879.089, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 877.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7535, kappa: 0.5025, kb_relative_information_score: 938.9502, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8523, scimark_benchmark: 1177.1582, usercpu_time_millis: 296.488, usercpu_time_millis_testing: 2.237, usercpu_time_millis_training: 294.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.812, kappa: 0.6207, kb_relative_information_score: 1654.8452, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8122, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484, scimark_benchmark: 1181.9674, usercpu_time_millis: 5842.051, usercpu_time_millis_testing: 8.144, usercpu_time_millis_training: 5833.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7851, kappa: 0.5664, kb_relative_information_score: 1550.3266, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1178.1803, usercpu_time_millis: 14920.536, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 14917.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6492, kappa: 0.3047, kb_relative_information_score: 257.0932, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6767, predictive_accuracy: 0.6649, prior_entropy: 0.9948, recall: 0.6649, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.954, scimark_benchmark: 1181.0141, usercpu_time_millis: 7.82, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1439.0235, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1180.6589, usercpu_time_millis: 2307.513, usercpu_time_millis_testing: 5.821, usercpu_time_millis_training: 2301.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7644, kappa: 0.5246, kb_relative_information_score: 1260.6005, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8204, scimark_benchmark: 1182.3799, usercpu_time_millis: 2390.054, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 2387.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0998, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1183.0235, usercpu_time_millis: 10.388, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 8.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1606.2403, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494, scimark_benchmark: 1176.757, usercpu_time_millis: 2158.253, usercpu_time_millis_testing: 7.84, usercpu_time_millis_training: 2150.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1143.3178, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1178.6298, usercpu_time_millis: 1340.48, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 1337.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7921, kappa: 0.5805, kb_relative_information_score: 1449.7218, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1179.7125, usercpu_time_millis: 3968.873, usercpu_time_millis_testing: 5.251, usercpu_time_millis_training: 3963.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7811, kappa: 0.5583, kb_relative_information_score: 1350.5375, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1176.6609, usercpu_time_millis: 2446.232, usercpu_time_millis_testing: 4.805, usercpu_time_millis_training: 2441.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.4677, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1180.0621, usercpu_time_millis: 7.004, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 5.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.6767, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1181.1922, usercpu_time_millis: 6.39, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 5.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7533, kappa: 0.5023, kb_relative_information_score: 1272.7805, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1176.3153, usercpu_time_millis: 1320.36, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 1318.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1505.3511, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1183.5708, usercpu_time_millis: 782.95, usercpu_time_millis_testing: 6.325, usercpu_time_millis_training: 776.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7433, kappa: 0.482, kb_relative_information_score: 782.566, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707, scimark_benchmark: 1376.0712, usercpu_time_millis: 87.6, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 86.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7991, kappa: 0.5948, kb_relative_information_score: 1348.5747, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1512.1217, usercpu_time_millis: 1268.47, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 1264.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7952, kappa: 0.5869, kb_relative_information_score: 1502.0519, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1853.9121, usercpu_time_millis: 3069.296, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 3067.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 960.7702, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1943.9654, usercpu_time_millis: 246.657, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 245.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7988, kappa: 0.5942, kb_relative_information_score: 1321.5563, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1844.2371, usercpu_time_millis: 329.225, usercpu_time_millis_testing: 4.676, usercpu_time_millis_training: 324.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.808, kappa: 0.6127, kb_relative_information_score: 1600.3112, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7558, scimark_benchmark: 1842.6679, usercpu_time_millis: 606.278, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 604.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7927, kappa: 0.5819, kb_relative_information_score: 1342.3264, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917, scimark_benchmark: 1746.6937, usercpu_time_millis: 654.821, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 652.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7906, kappa: 0.5776, kb_relative_information_score: 1426.2454, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7875, scimark_benchmark: 1884.3554, usercpu_time_millis: 787.975, usercpu_time_millis_testing: 2.094, usercpu_time_millis_training: 785.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7934, kappa: 0.5835, kb_relative_information_score: 1784.2103, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7785, scimark_benchmark: 1947.2979, usercpu_time_millis: 698.023, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 697.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7726, kappa: 0.5411, kb_relative_information_score: 1354.9119, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1513.7699, usercpu_time_millis: 4658.42, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 4656.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.788, kappa: 0.5724, kb_relative_information_score: 1488.73, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.788, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7811, scimark_benchmark: 1876.895, usercpu_time_millis: 1144.421, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 1143.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1521.8311, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1853.9121, usercpu_time_millis: 1305.036, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 1303.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7819, kappa: 0.5601, kb_relative_information_score: 1371.2241, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1798.6713, usercpu_time_millis: 1232.4, usercpu_time_millis_testing: 2.561, usercpu_time_millis_training: 1229.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1649.6284, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1841.6847, usercpu_time_millis: 2223.75, usercpu_time_millis_testing: 2.257, usercpu_time_millis_training: 2221.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8119, kappa: 0.6206, kb_relative_information_score: 1532.1269, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8122, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1548.6363, usercpu_time_millis: 1462.48, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 1459.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1641.4615, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1484.843, usercpu_time_millis: 7085.24, usercpu_time_millis_testing: 4.33, usercpu_time_millis_training: 7080.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0032, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1831.6625, usercpu_time_millis: 7.059, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 5.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 886.5073, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8719, scimark_benchmark: 1836.1651, usercpu_time_millis: 95.018, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 93.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1128, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1796.1003, usercpu_time_millis: 7.231, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 6.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7366, kappa: 0.4704, kb_relative_information_score: 876.3315, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8675, scimark_benchmark: 1848.388, usercpu_time_millis: 77.215, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 76.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 872.5117, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1893.2448, usercpu_time_millis: 226.156, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 224.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8141, kappa: 0.625, kb_relative_information_score: 1490.1269, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8143, predictive_accuracy: 0.8144, prior_entropy: 0.9948, recall: 0.8144, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1841.8649, usercpu_time_millis: 289.643, usercpu_time_millis_testing: 1.936, usercpu_time_millis_training: 287.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7598, kappa: 0.5156, kb_relative_information_score: 1218.1974, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8249, scimark_benchmark: 1887.4145, usercpu_time_millis: 670.703, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 668.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1688.6248, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7452, scimark_benchmark: 1839.1443, usercpu_time_millis: 963.239, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 959.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0785, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1875.9493, usercpu_time_millis: 7.186, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 6.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1332, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 7.12, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 6.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7912, kappa: 0.5788, kb_relative_information_score: 1355.7282, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7905, scimark_benchmark: 1726.3086, usercpu_time_millis: 73.563, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 72.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7927, kappa: 0.5819, kb_relative_information_score: 1223.4444, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1876.4983, usercpu_time_millis: 104.071, usercpu_time_millis_testing: 3.946, usercpu_time_millis_training: 100.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1473.5916, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7683, scimark_benchmark: 1728.8106, usercpu_time_millis: 495.912, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 493.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8049, kappa: 0.6064, kb_relative_information_score: 1592.1923, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7593, scimark_benchmark: 1898.1329, usercpu_time_millis: 1122.122, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 1119.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.787, kappa: 0.5704, kb_relative_information_score: 1418.5158, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895, scimark_benchmark: 1720.1928, usercpu_time_millis: 1317.706, usercpu_time_millis_testing: 1.936, usercpu_time_millis_training: 1315.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1609.8366, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7616, scimark_benchmark: 1845.7222, usercpu_time_millis: 1713.341, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 1711.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7581, kappa: 0.512, kb_relative_information_score: 1321.5713, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7604, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8135, scimark_benchmark: 1714.2948, usercpu_time_millis: 2860.292, usercpu_time_millis_testing: 2.528, usercpu_time_millis_training: 2857.764,

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