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: 0.8689, f_measure: 0.7976, kappa: 0.5918, kb_relative_information_score: 1569.9247, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7981, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1729.1458, usercpu_time_millis: 2988.292, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 2985.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7877, kappa: 0.5719, kb_relative_information_score: 1140.6716, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8136, scimark_benchmark: 1760.0799, usercpu_time_millis: 165.731, usercpu_time_millis_testing: 2.132, usercpu_time_millis_training: 163.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7459, kappa: 0.4879, kb_relative_information_score: 1168.4971, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8406, scimark_benchmark: 1753.0959, usercpu_time_millis: 274.856, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 274.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7548, kappa: 0.5058, kb_relative_information_score: 1198.1487, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8365, scimark_benchmark: 1737.8652, usercpu_time_millis: 283.302, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 282.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.77, kappa: 0.5358, kb_relative_information_score: 1403.2654, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7716, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1722.377, usercpu_time_millis: 605.682, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 604.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7662, kappa: 0.5284, kb_relative_information_score: 1224.4956, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8229, scimark_benchmark: 1723.5031, usercpu_time_millis: 728.57, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 726.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7869, kappa: 0.5701, kb_relative_information_score: 1427.2084, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7874, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7872, scimark_benchmark: 1731.9625, usercpu_time_millis: 818.119, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 816.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7969, kappa: 0.5902, kb_relative_information_score: 1286.3872, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.79, scimark_benchmark: 1717.7792, usercpu_time_millis: 467.198, usercpu_time_millis_testing: 4.406, usercpu_time_millis_training: 462.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7863, kappa: 0.5689, kb_relative_information_score: 1353.2025, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1732.8983, usercpu_time_millis: 677.52, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 674.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8101, kappa: 0.6169, kb_relative_information_score: 1539.3818, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7586, scimark_benchmark: 1733.3606, usercpu_time_millis: 1051.067, usercpu_time_millis_testing: 4.684, usercpu_time_millis_training: 1046.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7499, kappa: 0.4955, kb_relative_information_score: 1196.7034, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8328, scimark_benchmark: 1731.9373, usercpu_time_millis: 745.402, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 743.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.782, kappa: 0.5602, kb_relative_information_score: 1361.6287, mean_absolute_error: 0.334, 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: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1721.7423, usercpu_time_millis: 1141.454, usercpu_time_millis_testing: 2.968, usercpu_time_millis_training: 1138.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7584, kappa: 0.5125, kb_relative_information_score: 1220.5107, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7614, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8255, scimark_benchmark: 1732.4384, usercpu_time_millis: 1377.06, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 1375.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7574, kappa: 0.5107, kb_relative_information_score: 1168.4697, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8333, scimark_benchmark: 1734.8335, usercpu_time_millis: 1126.237, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 1124.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8063, kappa: 0.6092, kb_relative_information_score: 1620.3698, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1732.0958, usercpu_time_millis: 11796.747, usercpu_time_millis_testing: 5.641, usercpu_time_millis_training: 11791.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.784, kappa: 0.5643, kb_relative_information_score: 1435.8103, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1673.8087, usercpu_time_millis: 5216.6, usercpu_time_millis_testing: 5.053, usercpu_time_millis_training: 5211.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 1528.8424, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1362.5016, usercpu_time_millis: 2331.398, usercpu_time_millis_testing: 2.85, usercpu_time_millis_training: 2328.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1657.091, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1724.4488, usercpu_time_millis: 2296.581, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 2294.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8034, kappa: 0.6034, kb_relative_information_score: 1558.6374, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7614, scimark_benchmark: 1361.4056, usercpu_time_millis: 3088.804, usercpu_time_millis_testing: 4.378, usercpu_time_millis_training: 3084.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.735, kappa: 0.4653, kb_relative_information_score: 765.6574, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8686, scimark_benchmark: 1787.1203, usercpu_time_millis: 36.256, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 32.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7432, kappa: 0.4831, kb_relative_information_score: 1096.5071, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7435, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1740.6245, usercpu_time_millis: 285.44, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 284.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.787, kappa: 0.5704, kb_relative_information_score: 1418.7327, 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: 0.657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 2124.8269, usercpu_time_millis: 517.595, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 516.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7966, kappa: 0.5899, kb_relative_information_score: 1736.8489, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1712.9561, usercpu_time_millis: 10975.708, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 10972.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1204.9461, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1799.6499, usercpu_time_millis: 262.009, usercpu_time_millis_testing: 4.072, usercpu_time_millis_training: 257.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7558, kappa: 0.5075, kb_relative_information_score: 1224.1682, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1808.8939, usercpu_time_millis: 287.822, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 286.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.792, kappa: 0.5804, kb_relative_information_score: 1542.7169, mean_absolute_error: 0.3086, 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: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7773, scimark_benchmark: 1749.6835, usercpu_time_millis: 371.155, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 370.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8129, kappa: 0.6227, kb_relative_information_score: 1699.5175, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7443, scimark_benchmark: 1360.4227, usercpu_time_millis: 1970.268, usercpu_time_millis_testing: 6.035, usercpu_time_millis_training: 1964.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7813, kappa: 0.5588, kb_relative_information_score: 1201.7693, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8086, scimark_benchmark: 1750.5451, usercpu_time_millis: 854.81, usercpu_time_millis_testing: 4.586, usercpu_time_millis_training: 850.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1366.5993, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8022, scimark_benchmark: 1797.6143, usercpu_time_millis: 1387.353, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 1384.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7453, kappa: 0.4862, kb_relative_information_score: 794.5776, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7455, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1363.0961, usercpu_time_millis: 130.566, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 129.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1566.6928, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1373.2913, usercpu_time_millis: 5401.216, usercpu_time_millis_testing: 6.548, usercpu_time_millis_training: 5394.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.726, kappa: 0.4473, kb_relative_information_score: 660.0312, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7261, predictive_accuracy: 0.7267, prior_entropy: 0.9948, recall: 0.7267, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8891, scimark_benchmark: 1362.6883, usercpu_time_millis: 128.859, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 126.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7135, kappa: 0.4218, kb_relative_information_score: 538.1302, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7138, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9079, scimark_benchmark: 1741.9254, usercpu_time_millis: 51.172, usercpu_time_millis_testing: 1.921, usercpu_time_millis_training: 49.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6983, kappa: 0.3914, kb_relative_information_score: 469.2099, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9188, scimark_benchmark: 1798.2259, usercpu_time_millis: 33.169, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 31.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7587, kappa: 0.5136, kb_relative_information_score: 932.7222, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1734.2259, usercpu_time_millis: 14.166, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 13.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 938.0463, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8415, scimark_benchmark: 1731.5003, usercpu_time_millis: 43.036, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 39.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8051, kappa: 0.6071, kb_relative_information_score: 1436.0742, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7667, scimark_benchmark: 1736.6874, usercpu_time_millis: 67.483, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 64.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7771, kappa: 0.5502, kb_relative_information_score: 1396.0963, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7955, scimark_benchmark: 1359.6596, usercpu_time_millis: 3430.757, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 3428.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7956, kappa: 0.5879, kb_relative_information_score: 1775.0214, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7758, scimark_benchmark: 1363.1286, usercpu_time_millis: 22658.9, usercpu_time_millis_testing: 4.16, usercpu_time_millis_training: 22654.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1611.8825, mean_absolute_error: 0.3003, 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: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7579, scimark_benchmark: 1733.2167, usercpu_time_millis: 3147.716, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 3144.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7364, kappa: 0.4683, kb_relative_information_score: 708.5357, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1733.8194, usercpu_time_millis: 18.313, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 17.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7276, kappa: 0.4504, kb_relative_information_score: 670.0978, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7281, predictive_accuracy: 0.7286, prior_entropy: 0.9948, recall: 0.7286, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8875, scimark_benchmark: 1725.0345, usercpu_time_millis: 83.268, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 81.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1453.8738, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699, scimark_benchmark: 1839.7911, usercpu_time_millis: 207.278, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 205.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1021.2178, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8274, scimark_benchmark: 1869.4389, usercpu_time_millis: 76.326, usercpu_time_millis_testing: 3.824, usercpu_time_millis_training: 72.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1569.2456, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7626, scimark_benchmark: 1356.3908, usercpu_time_millis: 4524.194, usercpu_time_millis_testing: 4.104, usercpu_time_millis_training: 4520.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7554, kappa: 0.507, kb_relative_information_score: 1220.9028, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1365.0985, usercpu_time_millis: 1913.815, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 1910.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8064, kappa: 0.6096, kb_relative_information_score: 1710.3619, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1850.9652, usercpu_time_millis: 1001.561, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 1000.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.812, kappa: 0.621, kb_relative_information_score: 1590.2494, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7526, scimark_benchmark: 1848.7304, usercpu_time_millis: 1144.328, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 1139.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1524.4521, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1362.6459, usercpu_time_millis: 7161.675, usercpu_time_millis_testing: 5.325, usercpu_time_millis_training: 7156.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7742, kappa: 0.5443, kb_relative_information_score: 1275.7274, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7754, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1727.5077, usercpu_time_millis: 796.992, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 795.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1572.1304, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1718.2809, usercpu_time_millis: 1175.442, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 1174.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7511, kappa: 0.4979, kb_relative_information_score: 1250.3688, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8313, scimark_benchmark: 1734.7321, usercpu_time_millis: 1771.738, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 1769.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7825, kappa: 0.5611, kb_relative_information_score: 1381.1077, mean_absolute_error: 0.331, 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: 0.6667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1729.728, usercpu_time_millis: 2164.418, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 2162.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7625, kappa: 0.521, kb_relative_information_score: 1233.3752, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1727.9757, usercpu_time_millis: 1474.49, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 1472.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 1675.2814, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1729.9064, usercpu_time_millis: 7885.331, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 7881.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1513.3422, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7625, scimark_benchmark: 1719.5281, usercpu_time_millis: 1678.702, usercpu_time_millis_testing: 6.044, usercpu_time_millis_training: 1672.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8052, kappa: 0.607, kb_relative_information_score: 1425.4381, mean_absolute_error: 0.327, 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: 0.6586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7737, scimark_benchmark: 1714.1003, usercpu_time_millis: 780.249, usercpu_time_millis_testing: 4.491, usercpu_time_millis_training: 775.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1293, 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: 1721.85, usercpu_time_millis: 9.235, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1583.4005, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1725.2655, usercpu_time_millis: 144.511, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 143.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7548, kappa: 0.5053, kb_relative_information_score: 1193.0644, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8304, scimark_benchmark: 1716.0319, usercpu_time_millis: 814.607, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 813.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.053, 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: 1720.9528, usercpu_time_millis: 6.756, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 5.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.5458, 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: 1728.0111, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 4.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3813, kb_relative_information_score: -0.0689, 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: 1736.1564, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 4.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7706, kappa: 0.5372, kb_relative_information_score: 1352.9379, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1731.6389, usercpu_time_millis: 533.314, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 531.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.767, kappa: 0.5297, kb_relative_information_score: 1316.2256, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.814, scimark_benchmark: 1358.0671, usercpu_time_millis: 2994.66, usercpu_time_millis_testing: 2.281, usercpu_time_millis_training: 2992.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7436, kappa: 0.483, kb_relative_information_score: 825.2954, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7435, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1358.5475, usercpu_time_millis: 201.075, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 199.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7135, kappa: 0.4219, kb_relative_information_score: 588.6718, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7138, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9, scimark_benchmark: 1356.2972, usercpu_time_millis: 14.57, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 13.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7628, kappa: 0.5214, kb_relative_information_score: 1157.0748, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1357.8895, usercpu_time_millis: 672.186, usercpu_time_millis_testing: 1.569, usercpu_time_millis_training: 670.617,

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