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: 0.8719, 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: 0.8171, 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: 0.4994, 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: 0.8773, 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: 0.8677, 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: 0.8697, f_measure: 0.8006, kappa: 0.5977, kb_relative_information_score: 1517.076, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1178.9696, usercpu_time_millis: 3080.359, usercpu_time_millis_testing: 4.293, usercpu_time_millis_training: 3076.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1271.9118, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1182.1326, usercpu_time_millis: 515.996, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 514.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1656.087, mean_absolute_error: 0.2932, 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: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1197.9395, usercpu_time_millis: 10312.165, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 10308.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.805, kappa: 0.6067, kb_relative_information_score: 1590.4443, mean_absolute_error: 0.3029, 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: 0.6102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634, scimark_benchmark: 1183.0051, usercpu_time_millis: 6338.188, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 6334.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1552.0061, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 1181.7719, usercpu_time_millis: 2300.283, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 2297.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7932, kappa: 0.5829, kb_relative_information_score: 1249.234, mean_absolute_error: 0.3503, 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: 0.7057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1179.7289, usercpu_time_millis: 473.21, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 469.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.0848, 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: 1177.3212, usercpu_time_millis: 7.074, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 5.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1566.4545, mean_absolute_error: 0.3057, 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: 0.6157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1175.3007, usercpu_time_millis: 8064.023, usercpu_time_millis_testing: 4.496, usercpu_time_millis_training: 8059.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7893, kappa: 0.5749, kb_relative_information_score: 1450.0784, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7898, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7872, scimark_benchmark: 1178.7846, usercpu_time_millis: 247.43, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 246.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7816, kappa: 0.5593, kb_relative_information_score: 1208.7845, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8073, scimark_benchmark: 1179.4312, usercpu_time_millis: 451.314, usercpu_time_millis_testing: 2.773, usercpu_time_millis_training: 448.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1436.3946, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1184.1451, usercpu_time_millis: 2385.033, usercpu_time_millis_testing: 6.553, usercpu_time_millis_training: 2378.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1458, 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: 1181.3525, usercpu_time_millis: 13.504, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 11.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1470.0367, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7995, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7745, scimark_benchmark: 1185.391, usercpu_time_millis: 1924.192, usercpu_time_millis_testing: 4.211, usercpu_time_millis_training: 1919.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1712.0558, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7495, scimark_benchmark: 1179.2795, usercpu_time_millis: 5285.646, usercpu_time_millis_testing: 4.036, usercpu_time_millis_training: 5281.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7963, kappa: 0.5893, kb_relative_information_score: 1784.6493, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7593, scimark_benchmark: 1179.2276, usercpu_time_millis: 4847.388, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 4845.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1371.9418, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7894, scimark_benchmark: 1176.3284, usercpu_time_millis: 1681.044, usercpu_time_millis_testing: 4.068, usercpu_time_millis_training: 1676.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1505.9867, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847, scimark_benchmark: 1184.2559, usercpu_time_millis: 1369.587, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 1368.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8043, kappa: 0.6053, kb_relative_information_score: 1395.765, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7722, scimark_benchmark: 1180.68, usercpu_time_millis: 532.146, usercpu_time_millis_testing: 7.133, usercpu_time_millis_training: 525.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1550.126, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1182.3907, usercpu_time_millis: 923.814, usercpu_time_millis_testing: 6.259, usercpu_time_millis_training: 917.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7955, kappa: 0.5875, kb_relative_information_score: 1571.7008, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7959, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7681, scimark_benchmark: 1181.7821, usercpu_time_millis: 419.296, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 418.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7877, kappa: 0.5718, kb_relative_information_score: 1432.2139, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1181.0678, usercpu_time_millis: 2707.917, usercpu_time_millis_testing: 4.091, usercpu_time_millis_training: 2703.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1480.162, mean_absolute_error: 0.3192, 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: 0.6429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1180.0441, usercpu_time_millis: 444.226, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 442.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1300.324, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1198.8749, usercpu_time_millis: 2328.217, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 2326.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8032, kappa: 0.603, kb_relative_information_score: 1629.8402, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7569, scimark_benchmark: 1199.3627, usercpu_time_millis: 2311.311, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 2309.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1403.8802, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1181.5584, usercpu_time_millis: 426.841, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 422.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7576, kappa: 0.511, kb_relative_information_score: 1169.1636, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8318, scimark_benchmark: 1179.8759, usercpu_time_millis: 1152.257, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 1150.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7719, kappa: 0.5398, kb_relative_information_score: 1337.269, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7724, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1176.2544, usercpu_time_millis: 382.117, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 380.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7921, kappa: 0.5807, kb_relative_information_score: 1608.321, mean_absolute_error: 0.2978, 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: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796, scimark_benchmark: 1199.5981, usercpu_time_millis: 1044.986, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 1043.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7837, kappa: 0.5636, kb_relative_information_score: 1316.0776, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1198.8478, usercpu_time_millis: 951.727, usercpu_time_millis_testing: 3.683, usercpu_time_millis_training: 948.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 991.7272, mean_absolute_error: 0.3844, 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: 0.7743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8756, scimark_benchmark: 1198.4212, usercpu_time_millis: 555.364, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 552.906,
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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: 0.8557, 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: 0.8572, 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: 0.8771, 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: 0.8701, 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: 0.786, 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: 0.7781, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 863.2738, mean_absolute_error: 0.4013, 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: 0.8084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1837.5732, usercpu_time_millis: 236.37, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 235.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1627.2041, mean_absolute_error: 0.298, 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: 0.6003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1952.3201, usercpu_time_millis: 195.737, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 194.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7582, kappa: 0.5121, kb_relative_information_score: 1115.7639, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8303, scimark_benchmark: 1846.6923, usercpu_time_millis: 153.062, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 151.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 972.7214, mean_absolute_error: 0.387, 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: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8788, scimark_benchmark: 1846.2342, usercpu_time_millis: 131.717, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 130.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7761, kappa: 0.5485, kb_relative_information_score: 1126.477, mean_absolute_error: 0.3663, 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: 0.7378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.818, scimark_benchmark: 1842.6679, usercpu_time_millis: 106.864, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 104.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.738, kappa: 0.4731, kb_relative_information_score: 871.6778, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707, scimark_benchmark: 1805.8812, usercpu_time_millis: 28.641, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 27.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8045, kappa: 0.6056, kb_relative_information_score: 1694.1014, mean_absolute_error: 0.2876, 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: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1498.9945, usercpu_time_millis: 19442.75, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 19438.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1615.0017, mean_absolute_error: 0.2994, 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: 0.6032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7603, scimark_benchmark: 1395.3098, usercpu_time_millis: 10825.11, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 10821.72,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1638.1084, mean_absolute_error: 0.2958, 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: 0.5958, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1470.516, usercpu_time_millis: 9799.49, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 9797.1,
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: 0.8103, 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: 0.8469, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1415.9611, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1458.0965, usercpu_time_millis: 5412.89, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 5411.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1575.7567, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1558.6392, usercpu_time_millis: 7609.45, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 7607.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8057, kappa: 0.6082, kb_relative_information_score: 1553.9115, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1479.4912, usercpu_time_millis: 1563.03, usercpu_time_millis_testing: 2.21, usercpu_time_millis_training: 1560.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1398.5739, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7831, scimark_benchmark: 1492.0776, usercpu_time_millis: 1520.97, usercpu_time_millis_testing: 3.58, usercpu_time_millis_training: 1517.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7212, kappa: 0.4374, kb_relative_information_score: 650.9464, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7216, predictive_accuracy: 0.7222, prior_entropy: 0.9948, recall: 0.7222, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8887, scimark_benchmark: 1511.0131, usercpu_time_millis: 42.56, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 41.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 923.901, mean_absolute_error: 0.3936, 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: 0.7928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1500.1782, usercpu_time_millis: 231.38, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 230.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7798, kappa: 0.5556, kb_relative_information_score: 1425.049, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1532.6251, usercpu_time_millis: 8359.84, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 8357.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7838, kappa: 0.5637, kb_relative_information_score: 1409.1863, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7913, scimark_benchmark: 1519.3689, usercpu_time_millis: 4518.48, usercpu_time_millis_testing: 3.14, usercpu_time_millis_training: 4515.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7492, kappa: 0.4941, kb_relative_information_score: 1309.7746, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211, scimark_benchmark: 1433.0723, usercpu_time_millis: 832.16, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 831.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7962, kappa: 0.589, kb_relative_information_score: 1306.9373, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.792, scimark_benchmark: 1582.8475, usercpu_time_millis: 227.18, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 225.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8104, kappa: 0.6177, kb_relative_information_score: 1664.4526, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471, scimark_benchmark: 1345.6434, usercpu_time_millis: 2152.37, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 2148.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7881, kappa: 0.5726, kb_relative_information_score: 1515.1915, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1506.1845, usercpu_time_millis: 1695.09, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1694.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7291, kappa: 0.4536, kb_relative_information_score: 625.7017, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7291, predictive_accuracy: 0.7297, prior_entropy: 0.9948, recall: 0.7297, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8942, scimark_benchmark: 1500.0842, usercpu_time_millis: 74.85, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 73.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7893, kappa: 0.5752, kb_relative_information_score: 1498.039, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7908, scimark_benchmark: 1597.7951, usercpu_time_millis: 44.88, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 44.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7687, kappa: 0.5362, kb_relative_information_score: 1623.7826, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.812, scimark_benchmark: 1548.6229, usercpu_time_millis: 26.86, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 26.25,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

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