OpenML
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8639, kappa: 0.7259, kb_relative_information_score: 180.1952, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7367, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 63.8762, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2118, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6188, kappa: 0.2316, kb_relative_information_score: 36.5302, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9955, recall: 0.62, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9523, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9199, kappa: 0.8386, kb_relative_information_score: 209.6158, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 0.9955, recall: 0.92, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5675, usercpu_time_millis: 408.001, usercpu_time_millis_testing: 7.355, usercpu_time_millis_training: 400.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8433, kappa: 0.6842, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, usercpu_time_millis: 158.34, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 158.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8068, kappa: 0.6105, kb_relative_information_score: 153.1035, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8094, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8792, usercpu_time_millis: 20.687, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 20.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7603, kappa: 0.5212, kb_relative_information_score: 128.8839, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7654, predictive_accuracy: 0.76, prior_entropy: 0.9955, recall: 0.76, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9829, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7404, kappa: 0.481, kb_relative_information_score: 118.7925, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7448, predictive_accuracy: 0.74, prior_entropy: 0.9955, recall: 0.74, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0231, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 78.4265, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6763, kappa: 0.3491, kb_relative_information_score: 86.4997, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6767, predictive_accuracy: 0.676, prior_entropy: 0.9955, recall: 0.676, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1421, usercpu_time_millis: 9.303, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 9.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8237, kappa: 0.6448, kb_relative_information_score: 161.1767, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9955, recall: 0.824, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8417, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 4.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.5759, kappa: 0.1527, kb_relative_information_score: 42.0972, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5851, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2879, usercpu_time_millis: 0.146, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8562, kappa: 0.7113, kb_relative_information_score: 177.323, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8574, predictive_accuracy: 0.856, prior_entropy: 0.9955, recall: 0.856, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7614, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6444, kappa: 0.2903, kb_relative_information_score: 70.3534, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6495, predictive_accuracy: 0.644, prior_entropy: 0.9955, recall: 0.644, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1972, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8918, kappa: 0.7819, kb_relative_information_score: 195.4877, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8923, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6594, usercpu_time_millis: 12.647, usercpu_time_millis_testing: 2.19, usercpu_time_millis_training: 10.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8877, kappa: 0.7737, kb_relative_information_score: 193.4694, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6715, usercpu_time_millis: 1.684, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.912, kappa: 0.8229, kb_relative_information_score: 205.5792, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5952, usercpu_time_millis: 2.304, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6964, kappa: 0.3936, kb_relative_information_score: 96.5912, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7012, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1063, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6349, kappa: 0.264, kb_relative_information_score: 66.3168, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6348, predictive_accuracy: 0.636, prior_entropy: 0.9955, recall: 0.636, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2105, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 72.3717, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1904, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6523, kappa: 0.3009, kb_relative_information_score: 74.3899, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6528, predictive_accuracy: 0.652, prior_entropy: 0.9955, recall: 0.652, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1836, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.4728, kappa: 0.0958, kb_relative_information_score: 38.0606, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6986, predictive_accuracy: 0.58, prior_entropy: 0.9955, recall: 0.58, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3003, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8674, kappa: 0.7328, kb_relative_information_score: 183.3779, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9955, recall: 0.868, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.729, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8192, kappa: 0.6356, kb_relative_information_score: 159.1584, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8513, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6945, kappa: 0.3841, kb_relative_information_score: 96.5912, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6953, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1063, usercpu_time_millis: 8.847, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 8.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4838, kappa: -0.0248, kb_relative_information_score: -0.287, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.4894, predictive_accuracy: 0.504, prior_entropy: 0.9955, recall: 0.504, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4131, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8161, kappa: 0.6301, kb_relative_information_score: 157.1401, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8163, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8607, usercpu_time_millis: 7.284, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 6.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6516, kappa: 0.2982, kb_relative_information_score: 74.3899, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6514, predictive_accuracy: 0.652, prior_entropy: 0.9955, recall: 0.652, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1836, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 72.3717, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1904, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7962, kappa: 0.5938, kb_relative_information_score: 147.0486, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8037, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9062, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.632, kappa: 0.2593, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.632, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7123, kappa: 0.4218, kb_relative_information_score: 104.6644, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.713, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0768, usercpu_time_millis: 1.041, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 72.3717, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1904, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 78.4265, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7323, kappa: 0.4657, kb_relative_information_score: 114.7559, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7379, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0387, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, usercpu_time_millis: 2.368, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 1.443,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6322, kappa: 0.2602, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6325, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9117, kappa: 0.8219, kb_relative_information_score: 205.5792, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9133, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5952, usercpu_time_millis: 54.871, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 51.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7185, kappa: 0.4444, kb_relative_information_score: 114.7559, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7597, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0387, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.664, kappa: 0.3237, kb_relative_information_score: 80.4448, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.664, predictive_accuracy: 0.664, prior_entropy: 0.9955, recall: 0.664, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.163, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7923, kappa: 0.5829, kb_relative_information_score: 145.0303, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7935, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9151, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.3,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 176.1525, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5612, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 936.3373, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 176.1525, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5612, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8748, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 1051.249, usercpu_time_millis: 1570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 934.695, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 938.988, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9, kappa: 0.7986, kb_relative_information_score: 117.5629, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6674, scimark_benchmark: 906.0979, usercpu_time_millis: 1490, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8881, kappa: 0.7751, kb_relative_information_score: 112.3964, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6863, scimark_benchmark: 939.8002, usercpu_time_millis: 610, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.892, kappa: 0.7827, kb_relative_information_score: 117.1873, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6689, scimark_benchmark: 921.2615, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.884, kappa: 0.7664, kb_relative_information_score: 117.1729, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6787, scimark_benchmark: 869.7667, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.864, kappa: 0.7262, kb_relative_information_score: 125.6189, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6661, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 190.6471, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5541, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 190.6471, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5541, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 190.6471, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5541, scimark_benchmark: 936.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8958, kappa: 0.7901, kb_relative_information_score: 186.6216, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5438, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9157, kappa: 0.8302, kb_relative_information_score: 173.4016, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9169, predictive_accuracy: 0.916, prior_entropy: 0.9955, recall: 0.916, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.534, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.908, kappa: 0.8147, kb_relative_information_score: 200.4579, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.584, scimark_benchmark: 936.1714, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.912, kappa: 0.8229, kb_relative_information_score: 202.0471, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5603, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8881, kappa: 0.7748, kb_relative_information_score: 190.4568, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6042, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.876, kappa: 0.7506, kb_relative_information_score: 173.8975, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.668, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8277, kappa: 0.6527, kb_relative_information_score: 138.2036, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7914, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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From your own software

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

OpenML APIs