OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 1903 Supervised Classification cmc 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.5013, kappa: 0.2281, kb_relative_information_score: 3085.5046, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5049, predictive_accuracy: 0.4996, prior_entropy: 1.5392, recall: 0.4996, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9713, scimark_benchmark: 1323.4648, usercpu_time_millis: 4190, usercpu_time_millis_testing: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.5323, kappa: 0.2772, kb_relative_information_score: 3373.8877, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5471, predictive_accuracy: 0.5351, prior_entropy: 1.5392, recall: 0.5351, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9741, scimark_benchmark: 1340.1351, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5259, kappa: 0.2643, kb_relative_information_score: 2368.5798, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5287, predictive_accuracy: 0.5372, prior_entropy: 1.5392, recall: 0.5372, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9307, scimark_benchmark: 1333.8751, usercpu_time_millis: 780, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5287, kappa: 0.2691, kb_relative_information_score: 2351.5032, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5315, predictive_accuracy: 0.5405, prior_entropy: 1.5392, recall: 0.5405, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9314, scimark_benchmark: 943.1756, usercpu_time_millis: 550, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.5396, kappa: 0.2858, kb_relative_information_score: 3431.9136, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5428, predictive_accuracy: 0.5402, prior_entropy: 1.5392, recall: 0.5402, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9309, scimark_benchmark: 1358.4523, usercpu_time_millis: 1300, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.4395, kappa: 0.1332, kb_relative_information_score: 2897.765, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4422, predictive_accuracy: 0.4387, prior_entropy: 1.5392, recall: 0.4387, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.318, scimark_benchmark: 1341.4232, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.5272, kappa: 0.266, kb_relative_information_score: 2363.0806, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5297, predictive_accuracy: 0.538, prior_entropy: 1.5392, recall: 0.538, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9328, scimark_benchmark: 1308.3432, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5163, kappa: 0.2497, kb_relative_information_score: 3595.2365, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5159, predictive_accuracy: 0.5176, prior_entropy: 1.5392, recall: 0.5176, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.021, scimark_benchmark: 1347.388, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.5292, kappa: 0.2708, kb_relative_information_score: 4871.0325, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5376, predictive_accuracy: 0.5437, prior_entropy: 1.5392, recall: 0.5437, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0918, scimark_benchmark: 789.1062, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 1311.3846, usercpu_time_millis: 740, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.4195, kappa: 0.1634, kb_relative_information_score: 1389.1115, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4105, predictive_accuracy: 0.4759, prior_entropy: 1.5392, recall: 0.4759, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9607, scimark_benchmark: 1281.7531, usercpu_time_millis: 1640, usercpu_time_millis_testing: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.4392, kappa: 0.1335, kb_relative_information_score: 2949.3227, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4397, predictive_accuracy: 0.439, prior_entropy: 1.5392, recall: 0.439, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2938, scimark_benchmark: 1305.7231, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.2557, kappa: -0.0002, kb_relative_information_score: 236.474, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1825, predictive_accuracy: 0.4267, prior_entropy: 1.5392, recall: 0.4267, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.0145, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.5081, kappa: 0.2398, kb_relative_information_score: 4633.9764, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5321, predictive_accuracy: 0.5312, prior_entropy: 1.5392, recall: 0.5312, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.2046, scimark_benchmark: 1284.2094, usercpu_time_millis: 1640, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.2655, kappa: 0.0079, kb_relative_information_score: 71.1206, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.2746, predictive_accuracy: 0.4291, prior_entropy: 1.5392, recall: 0.4291, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9991, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.5157, kappa: 0.2498, kb_relative_information_score: 2172.3055, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5306, predictive_accuracy: 0.5342, prior_entropy: 1.5392, recall: 0.5342, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.965, scimark_benchmark: 1305.7138, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5255, kappa: 0.2637, kb_relative_information_score: 2351.842, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5282, predictive_accuracy: 0.5369, prior_entropy: 1.5392, recall: 0.5369, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9317, scimark_benchmark: 1275.9462, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.5508, kappa: 0.3038, kb_relative_information_score: 3693.6372, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5526, predictive_accuracy: 0.5532, prior_entropy: 1.5392, recall: 0.5532, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9224, scimark_benchmark: 1329.8847, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.5303, kappa: 0.2704, kb_relative_information_score: 3474.5527, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5298, predictive_accuracy: 0.5325, prior_entropy: 1.5392, recall: 0.5325, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9385, scimark_benchmark: 1331.2332, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 818.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.4381, kappa: 0.1246, kb_relative_information_score: 2196.2367, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4376, predictive_accuracy: 0.4408, prior_entropy: 1.5392, recall: 0.4408, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0862, scimark_benchmark: 1316.535, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.4381, kappa: 0.1246, kb_relative_information_score: 2196.2367, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4376, predictive_accuracy: 0.4408, prior_entropy: 1.5392, recall: 0.4408, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0862, scimark_benchmark: 1386.5717, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.5091, kappa: 0.2522, kb_relative_information_score: 3268.0155, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5241, predictive_accuracy: 0.5043, prior_entropy: 1.5392, recall: 0.5043, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9779, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5208, kappa: 0.2557, kb_relative_information_score: 2342.4179, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5198, predictive_accuracy: 0.5274, prior_entropy: 1.5392, recall: 0.5274, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9422, scimark_benchmark: 1333.5799, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.5029, kappa: 0.2261, kb_relative_information_score: 2755.3213, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5028, predictive_accuracy: 0.507, prior_entropy: 1.5392, recall: 0.507, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9457, scimark_benchmark: 1368.9272, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.4394, kappa: 0.1336, kb_relative_information_score: 2911.882, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4407, predictive_accuracy: 0.4384, prior_entropy: 1.5392, recall: 0.4384, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.3184, scimark_benchmark: 1341.994, usercpu_time_millis: 500, usercpu_time_millis_testing: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5318, kappa: 0.2727, kb_relative_information_score: 2735.1922, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.535, predictive_accuracy: 0.5325, prior_entropy: 1.5392, recall: 0.5325, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9424, scimark_benchmark: 1341.994, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5549, kappa: 0.3098, kb_relative_information_score: 3480.7517, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5664, predictive_accuracy: 0.5575, prior_entropy: 1.5392, recall: 0.5575, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197, scimark_benchmark: 1341.7207, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5549, kappa: 0.3098, kb_relative_information_score: 3480.7517, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5664, predictive_accuracy: 0.5575, prior_entropy: 1.5392, recall: 0.5575, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197, scimark_benchmark: 1301.9176, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.5177, kappa: 0.2512, kb_relative_information_score: 2354.4815, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5195, predictive_accuracy: 0.5284, prior_entropy: 1.5392, recall: 0.5284, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9361, scimark_benchmark: 1326.6647, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.5524, kappa: 0.3064, kb_relative_information_score: 3666.1717, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5538, predictive_accuracy: 0.5555, prior_entropy: 1.5392, recall: 0.5555, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9194, scimark_benchmark: 1316.781, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.5557, kappa: 0.3117, kb_relative_information_score: 3606.5315, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5575, predictive_accuracy: 0.5597, prior_entropy: 1.5392, recall: 0.5597, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9173, scimark_benchmark: 1308.3503, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.5093, kappa: 0.2527, kb_relative_information_score: 3253.6231, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5245, predictive_accuracy: 0.5045, prior_entropy: 1.5392, recall: 0.5045, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9777, scimark_benchmark: 1332.4146, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.454, kappa: 0.2019, kb_relative_information_score: 572.708, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5003, predictive_accuracy: 0.4543, prior_entropy: 1.5392, recall: 0.4543, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9998, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2556, kb_relative_information_score: 1.9666, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.5014, kappa: 0.2413, kb_relative_information_score: 3194.3448, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5163, predictive_accuracy: 0.497, prior_entropy: 1.5392, recall: 0.497, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9813, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.5547, kappa: 0.31, kb_relative_information_score: 3488.4488, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5573, predictive_accuracy: 0.5595, prior_entropy: 1.5392, recall: 0.5595, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9166, scimark_benchmark: 1307.4861, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.5514, kappa: 0.3053, kb_relative_information_score: 3309.0932, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5547, predictive_accuracy: 0.5573, prior_entropy: 1.5392, recall: 0.5573, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.916, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.5385, kappa: 0.283, kb_relative_information_score: 3451.5013, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5382, predictive_accuracy: 0.5408, prior_entropy: 1.5392, recall: 0.5408, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9293, scimark_benchmark: 1339.3974, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.5374, kappa: 0.2812, kb_relative_information_score: 3463.0746, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5372, predictive_accuracy: 0.5401, prior_entropy: 1.5392, recall: 0.5401, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9321, scimark_benchmark: 882.7843, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.5488, kappa: 0.2994, kb_relative_information_score: 3610.5444, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5508, predictive_accuracy: 0.5501, prior_entropy: 1.5392, recall: 0.5501, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9426, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.4589, kappa: 0.1584, kb_relative_information_score: 2888.843, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4579, predictive_accuracy: 0.4644, prior_entropy: 1.5392, recall: 0.4644, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0706, scimark_benchmark: 854.5188, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.458, kappa: 0.1572, kb_relative_information_score: 2880.975, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4571, predictive_accuracy: 0.4635, prior_entropy: 1.5392, recall: 0.4635, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0711, scimark_benchmark: 1335.643, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.2799, kappa: 0.0142, kb_relative_information_score: 2106.7248, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4001, predictive_accuracy: 0.4285, prior_entropy: 1.5392, recall: 0.4285, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.497, root_relative_squared_error: 1.071, scimark_benchmark: 894.7222, usercpu_time_millis: 3010, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.4867, kappa: 0.2047, kb_relative_information_score: 3212.1476, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4866, predictive_accuracy: 0.487, prior_entropy: 1.5392, recall: 0.487, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0262, scimark_benchmark: 933.3136, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.5024, kappa: 0.2249, kb_relative_information_score: 2483.045, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5027, predictive_accuracy: 0.5071, prior_entropy: 1.5392, recall: 0.5071, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9482, scimark_benchmark: 1304.9611, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.4395, kappa: 0.1332, kb_relative_information_score: 2897.765, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4422, predictive_accuracy: 0.4387, prior_entropy: 1.5392, recall: 0.4387, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.318, scimark_benchmark: 916.9356, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5094, kappa: 0.2516, kb_relative_information_score: 3523.8438, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5244, predictive_accuracy: 0.5044, prior_entropy: 1.5392, recall: 0.5044, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9674, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5092, kappa: 0.2475, kb_relative_information_score: 3533.3758, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5188, predictive_accuracy: 0.505, prior_entropy: 1.5392, recall: 0.505, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9749, scimark_benchmark: 1315.3881, usercpu_time_millis: 1030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 1073.494, usercpu_time_millis: 690, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.4685, kappa: 0.1782, kb_relative_information_score: 3532.4162, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4682, predictive_accuracy: 0.4689, prior_entropy: 1.5392, recall: 0.4689, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.2575, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.5244, kappa: 0.2612, kb_relative_information_score: 3342.1183, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5246, predictive_accuracy: 0.5253, prior_entropy: 1.5392, recall: 0.5253, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9636, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5472, kappa: 0.2972, kb_relative_information_score: 3249.5253, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5519, predictive_accuracy: 0.5501, prior_entropy: 1.5392, recall: 0.5501, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9306, scimark_benchmark: 1376.7478, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.4575, kappa: 0.1595, kb_relative_information_score: 3296.0843, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.457, predictive_accuracy: 0.458, prior_entropy: 1.5392, recall: 0.458, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.2951, scimark_benchmark: 1280.6952, usercpu_time_millis: 550, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.3846, kappa: 0.0992, kb_relative_information_score: 2793.9559, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4064, predictive_accuracy: 0.4406, prior_entropy: 1.5392, recall: 0.4406, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.3158, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.501, kappa: 0.2269, kb_relative_information_score: 3758.4377, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5007, predictive_accuracy: 0.5014, prior_entropy: 1.5392, recall: 0.5014, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0616, scimark_benchmark: 1384.4418, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.4229, kappa: 0.1414, kb_relative_information_score: 3335.3372, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4203, predictive_accuracy: 0.4758, prior_entropy: 1.5392, recall: 0.4758, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5911, root_relative_squared_error: 1.2737, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.5161, kappa: 0.2493, kb_relative_information_score: 4503.1392, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5163, predictive_accuracy: 0.5177, prior_entropy: 1.5392, recall: 0.5177, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.2218, scimark_benchmark: 1345.5871, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2556, kb_relative_information_score: 1.9666, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5158, kappa: 0.2489, kb_relative_information_score: 3591.076, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5153, predictive_accuracy: 0.517, prior_entropy: 1.5392, recall: 0.517, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0209, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, build_cpu_time: 14.1465, build_memory: 1881913171.3961, f_measure: 0.5257, kappa: 0.2649, kb_relative_information_score: 2432.8494, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.534, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9404, scimark_benchmark: 767.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, build_cpu_time: 20.7424, build_memory: 284199896.006, f_measure: 0.5251, kappa: 0.2639, kb_relative_information_score: 2432.4789, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5334, predictive_accuracy: 0.5404, prior_entropy: 1.5392, recall: 0.5404, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.94, scimark_benchmark: 940.0648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, build_cpu_time: 2.5643, build_memory: 1583811039.8957, f_measure: 0.5308, kappa: 0.2716, kb_relative_information_score: 3712.0698, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5303, predictive_accuracy: 0.5334, prior_entropy: 1.5392, recall: 0.5334, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9403, scimark_benchmark: 943.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, build_cpu_time: 1.18, build_memory: 1054946981.8113, f_measure: 0.532, kappa: 0.2736, kb_relative_information_score: 3707.81, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5315, predictive_accuracy: 0.5347, prior_entropy: 1.5392, recall: 0.5347, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9421, scimark_benchmark: 941.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, build_cpu_time: 0.6175, build_memory: 1843149335.9566, f_measure: 0.5279, kappa: 0.267, kb_relative_information_score: 3704.5528, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5275, predictive_accuracy: 0.5301, prior_entropy: 1.5392, recall: 0.5301, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9452, scimark_benchmark: 933.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, build_cpu_time: 0.3, build_memory: 1533906996.0435, f_measure: 0.5241, kappa: 0.2611, kb_relative_information_score: 3709.4195, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5236, predictive_accuracy: 0.5265, prior_entropy: 1.5392, recall: 0.5265, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9499, scimark_benchmark: 892.0393,

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