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: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.3737, 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: 1729.9785, usercpu_time_millis: 6.757, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 5.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.134, 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: 1761.0961, usercpu_time_millis: 7.637, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 6.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7849, kappa: 0.5661, kb_relative_information_score: 1393.5053, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7924, scimark_benchmark: 1745.7404, usercpu_time_millis: 770.088, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 767.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8123, kappa: 0.6214, kb_relative_information_score: 1644.3706, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507, scimark_benchmark: 1712.5032, usercpu_time_millis: 3541.04, usercpu_time_millis_testing: 4.263, usercpu_time_millis_training: 3536.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7862, kappa: 0.5685, kb_relative_information_score: 1354.1221, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1937.1156, usercpu_time_millis: 356.671, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 355.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7873, kappa: 0.571, kb_relative_information_score: 1288.5627, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1834.2992, usercpu_time_millis: 427.984, usercpu_time_millis_testing: 4.234, usercpu_time_millis_training: 423.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1488.1475, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7769, scimark_benchmark: 1797.1805, usercpu_time_millis: 1153.277, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 1151.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 1248.2069, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8158, scimark_benchmark: 1829.7478, usercpu_time_millis: 1293.456, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 1291.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7808, kappa: 0.5578, kb_relative_information_score: 1412.1671, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966, scimark_benchmark: 1711.9058, usercpu_time_millis: 3386.516, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 3384.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.755, kappa: 0.5057, kb_relative_information_score: 1252.4206, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1902.3266, usercpu_time_millis: 839.797, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 838.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7944, kappa: 0.5853, kb_relative_information_score: 1510.3086, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1768.2707, usercpu_time_millis: 2669.845, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 2668.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1281, 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: 1844.8101, usercpu_time_millis: 6.73, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.6013, 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: 1788.684, usercpu_time_millis: 5.487, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 4.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.6775, 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: 1751.8493, usercpu_time_millis: 5.781, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 5.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1619, 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: 1947.5665, usercpu_time_millis: 8.83, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 7.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6613, kappa: 0.3256, kb_relative_information_score: 315.6094, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6834, predictive_accuracy: 0.674, prior_entropy: 0.9948, recall: 0.674, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1755.1789, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 11.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 902.8439, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8674, scimark_benchmark: 1726.802, usercpu_time_millis: 21.569, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 20.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 809.4604, mean_absolute_error: 0.4081, 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: 0.8221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1850.4852, usercpu_time_millis: 33.075, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 32.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7843, kappa: 0.565, kb_relative_information_score: 1041.2318, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8212, scimark_benchmark: 1809.3271, usercpu_time_millis: 69.667, usercpu_time_millis_testing: 4.995, usercpu_time_millis_training: 64.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0852, 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: 1818.9342, usercpu_time_millis: 8.261, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 7.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1289.4051, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.789, scimark_benchmark: 1842.1882, usercpu_time_millis: 137.473, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 135.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8093, kappa: 0.6155, kb_relative_information_score: 1485.4638, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1758.8062, usercpu_time_millis: 178.074, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 175.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8014, kappa: 0.5996, kb_relative_information_score: 1341.6398, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1949.2922, usercpu_time_millis: 209.414, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 204.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8038, kappa: 0.6043, kb_relative_information_score: 1628.8559, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1784.4213, usercpu_time_millis: 1040.071, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 1038.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7911, kappa: 0.5786, kb_relative_information_score: 1575.5591, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1791.8239, usercpu_time_millis: 12751.318, usercpu_time_millis_testing: 4.156, usercpu_time_millis_training: 12747.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7878, kappa: 0.5719, kb_relative_information_score: 1406.8264, mean_absolute_error: 0.3286, 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: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7857, scimark_benchmark: 1718.188, usercpu_time_millis: 952.099, usercpu_time_millis_testing: 3.191, usercpu_time_millis_training: 948.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8008, kappa: 0.5982, kb_relative_information_score: 1557.81, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1776.4458, usercpu_time_millis: 3564.927, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 3561.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8034, kappa: 0.6033, kb_relative_information_score: 1560.2752, mean_absolute_error: 0.3075, 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: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7646, scimark_benchmark: 1735.6759, usercpu_time_millis: 1119.021, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 1117.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 1712.9247, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1836.2249, usercpu_time_millis: 1996.864, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 1993.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 1592.9904, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1844.4224, usercpu_time_millis: 2079.848, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 2077.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1594.1697, mean_absolute_error: 0.3033, 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: 0.6111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1833.2039, usercpu_time_millis: 2073.27, usercpu_time_millis_testing: 5.402, usercpu_time_millis_training: 2067.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1603.0432, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613, scimark_benchmark: 1782.526, usercpu_time_millis: 3671.463, usercpu_time_millis_testing: 2.576, usercpu_time_millis_training: 3668.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8108, kappa: 0.6185, kb_relative_information_score: 1570.4796, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1750.5476, usercpu_time_millis: 298.445, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 294.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7636, kappa: 0.5231, kb_relative_information_score: 1114.2615, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8275, scimark_benchmark: 1721.4742, usercpu_time_millis: 339.272, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 337.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7859, kappa: 0.5681, kb_relative_information_score: 1470.9126, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1731.2227, usercpu_time_millis: 336.762, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 335.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 948.1525, mean_absolute_error: 0.3904, 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: 0.7863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1751.0356, usercpu_time_millis: 172.7, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 171.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7899, kappa: 0.5762, kb_relative_information_score: 1575.8775, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7768, scimark_benchmark: 1767.6602, usercpu_time_millis: 200.565, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 199.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7842, kappa: 0.5648, kb_relative_information_score: 1163.2467, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8122, scimark_benchmark: 1805.717, usercpu_time_millis: 293.859, usercpu_time_millis_testing: 3.729, usercpu_time_millis_training: 290.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8009, kappa: 0.5983, kb_relative_information_score: 1378.0436, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7788, scimark_benchmark: 1831.6658, usercpu_time_millis: 483.325, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 479.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7947, kappa: 0.5859, kb_relative_information_score: 1441.127, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7794, scimark_benchmark: 1841.0471, usercpu_time_millis: 487.553, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 485.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1471.9385, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 2076.1317, usercpu_time_millis: 497.973, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 495.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7652, kappa: 0.5262, kb_relative_information_score: 1212.2094, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1739.6873, usercpu_time_millis: 585.323, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 583.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7839, kappa: 0.5639, kb_relative_information_score: 1419.7152, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7845, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7938, scimark_benchmark: 1856.2897, usercpu_time_millis: 2108.864, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 2106.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1458.5612, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1751.4576, usercpu_time_millis: 3490.394, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 3487.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1626.6067, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7597, scimark_benchmark: 1745.2334, usercpu_time_millis: 3630.461, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 3627.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7829, kappa: 0.5621, kb_relative_information_score: 1549.687, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7863, scimark_benchmark: 1797.9304, usercpu_time_millis: 4254.515, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 4252.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7804, kappa: 0.5569, kb_relative_information_score: 1356.8339, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8037, scimark_benchmark: 1796.5926, usercpu_time_millis: 4422.248, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 4419.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7423, kappa: 0.48, kb_relative_information_score: 672.75, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8868, scimark_benchmark: 1774.9237, usercpu_time_millis: 34.455, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 33.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0368, 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: 1789.3986, usercpu_time_millis: 7.341, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7619, kappa: 0.5195, kb_relative_information_score: 1128.3239, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1742.3853, usercpu_time_millis: 110.301, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 109.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7694, kappa: 0.5348, kb_relative_information_score: 1247.5969, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 1773.1323, usercpu_time_millis: 176.785, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 175.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7993, kappa: 0.5953, kb_relative_information_score: 1712.4277, mean_absolute_error: 0.2833, 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: 0.5707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 758.9052, usercpu_time_millis: 369.475, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 367.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0256, 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: 1755.4395, usercpu_time_millis: 6.159, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 5.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1055, 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: 1771.3901, usercpu_time_millis: 6.875, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 5.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1400.0609, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1826.7202, usercpu_time_millis: 461.668, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 458.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1572.8702, mean_absolute_error: 0.3065, 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: 0.6173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 759.1865, usercpu_time_millis: 706.196, usercpu_time_millis_testing: 3.938, usercpu_time_millis_training: 702.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.746, kappa: 0.488, kb_relative_information_score: 1175.1659, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 763.2905, usercpu_time_millis: 478.136, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 476.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1659.2219, mean_absolute_error: 0.2927, 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: 0.5895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1755.0652, usercpu_time_millis: 8952.735, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 8949.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7364, kappa: 0.4699, kb_relative_information_score: 679.8499, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7371, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8903, scimark_benchmark: 1875.6929, usercpu_time_millis: 46.615, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 45.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1578.5098, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7587, scimark_benchmark: 1728.4593, usercpu_time_millis: 2839.368, usercpu_time_millis_testing: 5.029, usercpu_time_millis_training: 2834.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1591.4924, mean_absolute_error: 0.3031, 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: 0.6106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1819.5534, usercpu_time_millis: 3025.811, usercpu_time_millis_testing: 4.807, usercpu_time_millis_training: 3021.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7796, kappa: 0.5552, kb_relative_information_score: 1348.2986, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1791.9231, usercpu_time_millis: 4447.799, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 4444.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1602.7091, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1763.1755, usercpu_time_millis: 10289.262, usercpu_time_millis_testing: 4.885, usercpu_time_millis_training: 10284.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1681.8494, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7562, scimark_benchmark: 1804.9716, usercpu_time_millis: 10756.751, usercpu_time_millis_testing: 4.881, usercpu_time_millis_training: 10751.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7939, kappa: 0.5842, kb_relative_information_score: 1457.6962, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798, scimark_benchmark: 1782.5422, usercpu_time_millis: 1533.602, usercpu_time_millis_testing: 3.389, usercpu_time_millis_training: 1530.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7857, kappa: 0.5679, kb_relative_information_score: 1436.2302, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901, scimark_benchmark: 2047.6469, usercpu_time_millis: 336.166, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 335.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8138, kappa: 0.6245, kb_relative_information_score: 1582.4276, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.814, predictive_accuracy: 0.8142, prior_entropy: 0.9948, recall: 0.8142, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1746.692, usercpu_time_millis: 994.303, usercpu_time_millis_testing: 4.217, usercpu_time_millis_training: 990.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7821, kappa: 0.5604, kb_relative_information_score: 1476.3049, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1825.8666, usercpu_time_millis: 4453.22, usercpu_time_millis_testing: 3.013, usercpu_time_millis_training: 4450.207,

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