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OpenML
Task
Supervised Classification on ailerons

Supervised Classification on ailerons

Task 3600 Supervised Classification ailerons 402 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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402 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8556, kappa: 0.7041, kb_relative_information_score: 8878.3394, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8555, predictive_accuracy: 0.8556, prior_entropy: 0.9832, recall: 0.8556, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6758, scimark_benchmark: 942.9518, usercpu_time_millis: 36620, usercpu_time_millis_testing: 36620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8052, kappa: 0.6213, kb_relative_information_score: 8220.6284, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8493, predictive_accuracy: 0.8056, prior_entropy: 0.9832, recall: 0.8056, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8922, scimark_benchmark: 1318.1432, usercpu_time_millis: 2970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8663, kappa: 0.7249, kb_relative_information_score: 9978.9178, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8684, predictive_accuracy: 0.8674, prior_entropy: 0.9832, recall: 0.8674, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7368, scimark_benchmark: 940.3347, usercpu_time_millis: 575730, usercpu_time_millis_testing: 43680, usercpu_time_millis_training: 532050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8796, kappa: 0.7532, kb_relative_information_score: 10328.5071, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8795, predictive_accuracy: 0.8797, prior_entropy: 0.9832, recall: 0.8797, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7018, scimark_benchmark: 1386.5717, usercpu_time_millis: 2500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8781, kappa: 0.75, kb_relative_information_score: 8994.3483, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8782, predictive_accuracy: 0.8784, prior_entropy: 0.9832, recall: 0.8784, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5931, scimark_benchmark: 1335.643, usercpu_time_millis: 3990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7574, kappa: 0.5041, kb_relative_information_score: 6838.8198, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7579, predictive_accuracy: 0.757, prior_entropy: 0.9832, recall: 0.757, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9975, scimark_benchmark: 935.5075, usercpu_time_millis: 6930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7909, kappa: 0.5713, kb_relative_information_score: 7474.2977, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7907, predictive_accuracy: 0.7911, prior_entropy: 0.9832, recall: 0.7911, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8814, scimark_benchmark: 1250.8301, usercpu_time_millis: 52570, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 52280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8745, kappa: 0.7431, kb_relative_information_score: 8322.6101, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8745, predictive_accuracy: 0.8745, prior_entropy: 0.9832, recall: 0.8745, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6085, scimark_benchmark: 1280.6952, usercpu_time_millis: 8990, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.808, kappa: 0.6069, kb_relative_information_score: 8286.8228, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.808, predictive_accuracy: 0.8079, prior_entropy: 0.9832, recall: 0.8079, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8869, scimark_benchmark: 1307.4861, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8683, kappa: 0.7302, kb_relative_information_score: 9032.9977, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 0.9832, recall: 0.8684, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.641, scimark_benchmark: 1073.494, usercpu_time_millis: 520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8694, kappa: 0.7325, kb_relative_information_score: 8712.4602, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8694, predictive_accuracy: 0.8695, prior_entropy: 0.9832, recall: 0.8695, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6489, scimark_benchmark: 1290.1085, usercpu_time_millis: 5070, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.2652, kappa: -0.0015, kb_relative_information_score: -2604.2286, mean_absolute_error: 0.575, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.4929, predictive_accuracy: 0.425, prior_entropy: 0.9832, recall: 0.425, relative_absolute_error: 1.1773, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.7583, root_relative_squared_error: 1.5344, scimark_benchmark: 1309.3173, usercpu_time_millis: 405820, usercpu_time_millis_testing: 84370, usercpu_time_millis_training: 321450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8573, kappa: 0.7078, kb_relative_information_score: 9158.177, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 0.9832, recall: 0.8573, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6576, scimark_benchmark: 1358.4523, usercpu_time_millis: 8860, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7866, kappa: 0.5635, kb_relative_information_score: 7676.593, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7869, predictive_accuracy: 0.7865, prior_entropy: 0.9832, recall: 0.7865, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9351, scimark_benchmark: 1351.788, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8499, kappa: 0.6922, kb_relative_information_score: 9486.5968, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8498, predictive_accuracy: 0.8501, prior_entropy: 0.9832, recall: 0.8501, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7835, scimark_benchmark: 1353.5686, usercpu_time_millis: 5860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4212, kb_relative_information_score: -0.0333, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.3319, predictive_accuracy: 0.5761, prior_entropy: 0.9832, recall: 0.5761, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4942, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8583, kappa: 0.7098, kb_relative_information_score: 9195.4614, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8583, predictive_accuracy: 0.8584, prior_entropy: 0.9832, recall: 0.8584, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7126, scimark_benchmark: 1605.6303, usercpu_time_millis: 1180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6895, kappa: 0.3728, kb_relative_information_score: 5577.4496, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7379, predictive_accuracy: 0.713, prior_entropy: 0.9832, recall: 0.713, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.063, scimark_benchmark: 931.2336, usercpu_time_millis: 7350, usercpu_time_millis_testing: 2440, usercpu_time_millis_training: 4910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7808, kappa: 0.5496, kb_relative_information_score: 7660.7778, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7975, predictive_accuracy: 0.788, prior_entropy: 0.9832, recall: 0.788, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8362, scimark_benchmark: 932.3943, usercpu_time_millis: 15590, usercpu_time_millis_testing: 4530, usercpu_time_millis_training: 11060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8207, kappa: 0.631, kb_relative_information_score: 6907.0419, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8227, predictive_accuracy: 0.8224, prior_entropy: 0.9832, recall: 0.8224, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7308, scimark_benchmark: 941.7954, usercpu_time_millis: 7560, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 5440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8236, kappa: 0.6374, kb_relative_information_score: 6874.4884, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8245, predictive_accuracy: 0.8248, prior_entropy: 0.9832, recall: 0.8248, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7202, scimark_benchmark: 923.7642, usercpu_time_millis: 7210, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 5220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8736, kappa: 0.7417, kb_relative_information_score: 9979.0354, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.874, predictive_accuracy: 0.8735, prior_entropy: 0.9832, recall: 0.8735, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6588, scimark_benchmark: 936.7115, usercpu_time_millis: 25400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 25310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8654, kappa: 0.7238, kb_relative_information_score: 9822.5793, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8655, predictive_accuracy: 0.8657, prior_entropy: 0.9832, recall: 0.8657, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6708, scimark_benchmark: 936.6206, usercpu_time_millis: 11010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8633, kappa: 0.7207, kb_relative_information_score: 9558.4886, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8638, predictive_accuracy: 0.8631, prior_entropy: 0.9832, recall: 0.8631, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6846, scimark_benchmark: 942.1229, usercpu_time_millis: 4290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8466, kappa: 0.6861, kb_relative_information_score: 9107.178, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 0.9832, recall: 0.8465, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7124, scimark_benchmark: 922.9039, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8177, kappa: 0.6301, kb_relative_information_score: 8043.1165, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8219, predictive_accuracy: 0.8168, prior_entropy: 0.9832, recall: 0.8168, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7913, scimark_benchmark: 938.9865, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8803, kappa: 0.7548, kb_relative_information_score: 9320.3398, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8803, predictive_accuracy: 0.8804, prior_entropy: 0.9832, recall: 0.8804, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5916, scimark_benchmark: 936.6206, usercpu_time_millis: 17830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8653, kappa: 0.7237, kb_relative_information_score: 8692.0551, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8652, predictive_accuracy: 0.8655, prior_entropy: 0.9832, recall: 0.8655, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6246, scimark_benchmark: 947.9494, usercpu_time_millis: 2620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8434, kappa: 0.679, kb_relative_information_score: 7967.3023, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8434, predictive_accuracy: 0.8437, prior_entropy: 0.9832, recall: 0.8437, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6642, scimark_benchmark: 929.566, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4212, kb_relative_information_score: -0.0333, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.3319, predictive_accuracy: 0.5761, prior_entropy: 0.9832, recall: 0.5761, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4942, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8752, kappa: 0.7463, kb_relative_information_score: 9113.1154, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8781, predictive_accuracy: 0.8747, prior_entropy: 0.9832, recall: 0.8747, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5994, scimark_benchmark: 902.4773, usercpu_time_millis: 2420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8559, kappa: 0.7044, kb_relative_information_score: 8437.3608, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8559, predictive_accuracy: 0.8563, prior_entropy: 0.9832, recall: 0.8563, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6481, scimark_benchmark: 930.32, usercpu_time_millis: 1190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8636, kappa: 0.7217, kb_relative_information_score: 8482.9319, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8646, predictive_accuracy: 0.8633, prior_entropy: 0.9832, recall: 0.8633, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6365, scimark_benchmark: 902.4773, usercpu_time_millis: 2000, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8554, kappa: 0.7034, kb_relative_information_score: 8635.349, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8555, predictive_accuracy: 0.8559, prior_entropy: 0.9832, recall: 0.8559, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6489, scimark_benchmark: 932.3943, usercpu_time_millis: 570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8434, kappa: 0.679, kb_relative_information_score: 7967.3023, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8434, predictive_accuracy: 0.8437, prior_entropy: 0.9832, recall: 0.8437, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6642, scimark_benchmark: 911.0478, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4212, kb_relative_information_score: 1694.2719, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.3319, predictive_accuracy: 0.5761, prior_entropy: 0.9832, recall: 0.5761, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.651, root_relative_squared_error: 1.3174, scimark_benchmark: 901.0726, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8583, kappa: 0.7098, kb_relative_information_score: 9195.4614, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8583, predictive_accuracy: 0.8584, prior_entropy: 0.9832, recall: 0.8584, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7126, scimark_benchmark: 904.3001, usercpu_time_millis: 2070, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8749, kappa: 0.7438, kb_relative_information_score: 9001.3676, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8749, predictive_accuracy: 0.8748, prior_entropy: 0.9832, recall: 0.8748, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6089, scimark_benchmark: 943.2817, usercpu_time_millis: 394400, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 394230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7766, kappa: 0.5534, kb_relative_information_score: 4857.9409, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.7921, predictive_accuracy: 0.7753, prior_entropy: 0.9832, recall: 0.7753, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7994, scimark_benchmark: 901.0726, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.88, kappa: 0.7541, kb_relative_information_score: 10340.9186, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.88, predictive_accuracy: 0.8801, prior_entropy: 0.9832, recall: 0.8801, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7006, scimark_benchmark: 932.3943, usercpu_time_millis: 165870, usercpu_time_millis_testing: 24280, usercpu_time_millis_training: 141590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8663, kappa: 0.7249, kb_relative_information_score: 9978.9178, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8684, predictive_accuracy: 0.8674, prior_entropy: 0.9832, recall: 0.8674, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7368, scimark_benchmark: 901.0726, usercpu_time_millis: 441640, usercpu_time_millis_testing: 43280, usercpu_time_millis_training: 398360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8835, kappa: 0.7614, kb_relative_information_score: 10436.9682, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8835, predictive_accuracy: 0.8836, prior_entropy: 0.9832, recall: 0.8836, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6861, scimark_benchmark: 904.3001, usercpu_time_millis: 454590, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 452370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8868, kappa: 0.7681, kb_relative_information_score: 10527.3155, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8867, predictive_accuracy: 0.8868, prior_entropy: 0.9832, recall: 0.8868, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6792, scimark_benchmark: 942.6953, usercpu_time_millis: 788560, usercpu_time_millis_testing: 6100, usercpu_time_millis_training: 782460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4817, kappa: 0.1081, kb_relative_information_score: 4.2455, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.6025, predictive_accuracy: 0.5167, prior_entropy: 0.9832, recall: 0.5167, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.4068, scimark_benchmark: 902.4773, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.868, kappa: 0.7294, kb_relative_information_score: 9348.7751, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8679, predictive_accuracy: 0.8681, prior_entropy: 0.9832, recall: 0.8681, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6374, scimark_benchmark: 938.9865, usercpu_time_millis: 36210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 36100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8663, kappa: 0.7249, kb_relative_information_score: 9978.9178, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8684, predictive_accuracy: 0.8674, prior_entropy: 0.9832, recall: 0.8674, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7368, scimark_benchmark: 914.6385, usercpu_time_millis: 498320, usercpu_time_millis_testing: 42990, usercpu_time_millis_training: 455330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8746, kappa: 0.7419, kb_relative_information_score: 10220.9412, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8779, predictive_accuracy: 0.8759, prior_entropy: 0.9832, recall: 0.8759, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7128, scimark_benchmark: 947.4269, usercpu_time_millis: 2770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, build_cpu_time: 796.9436, build_memory: 318866051.2, f_measure: 0.8844, kappa: 0.7632, kb_relative_information_score: 9389.3367, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8843, predictive_accuracy: 0.8844, prior_entropy: 0.9832, recall: 0.8844, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5856, scimark_benchmark: 885.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 1178.6269, build_memory: 468401932.8, f_measure: 0.8863, kappa: 0.7672, kb_relative_information_score: 9401.4425, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8863, predictive_accuracy: 0.8863, prior_entropy: 0.9832, recall: 0.8863, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5792, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 2051.9257, build_memory: 805212902.4, f_measure: 0.888, kappa: 0.7707, kb_relative_information_score: 9418.9817, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9832, recall: 0.888, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5755, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 4716.608, build_memory: 1465052002.4, f_measure: 0.8871, kappa: 0.769, kb_relative_information_score: 9418.5312, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8872, predictive_accuracy: 0.8871, prior_entropy: 0.9832, recall: 0.8871, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5743, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 441.3241, build_memory: 1248187527.2, f_measure: 0.8772, kappa: 0.7483, kb_relative_information_score: 10255.7248, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8771, predictive_accuracy: 0.8773, prior_entropy: 0.9832, recall: 0.8773, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6752, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 241.454, build_memory: 1495390273.6, f_measure: 0.8771, kappa: 0.7482, kb_relative_information_score: 10249.0773, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8771, predictive_accuracy: 0.8772, prior_entropy: 0.9832, recall: 0.8772, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6755, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 121.4179, build_memory: 709269956, f_measure: 0.8742, kappa: 0.7421, kb_relative_information_score: 10163.4663, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 0.9832, recall: 0.8743, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6863, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 117.6477, build_memory: 88864232, f_measure: 0.8742, kappa: 0.7421, kb_relative_information_score: 10163.4663, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 0.9832, recall: 0.8743, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6863, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 73.7351, build_memory: 1492821302.4, f_measure: 0.8728, kappa: 0.7392, kb_relative_information_score: 10120.592, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8727, predictive_accuracy: 0.8729, prior_entropy: 0.9832, recall: 0.8729, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6896, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, build_cpu_time: 1624.1101, build_memory: 818947359.2, f_measure: 0.8831, kappa: 0.7599, kb_relative_information_score: 8967.2304, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8837, predictive_accuracy: 0.8836, prior_entropy: 0.9832, recall: 0.8836, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5868, scimark_benchmark: 940.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, build_cpu_time: 3517.4898, build_memory: 664013981.6, f_measure: 0.884, kappa: 0.7618, kb_relative_information_score: 8963.7577, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8847, predictive_accuracy: 0.8846, prior_entropy: 0.9832, recall: 0.8846, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5868, scimark_benchmark: 933.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 159.9343, build_memory: 234070652, f_measure: 0.8886, kappa: 0.772, kb_relative_information_score: 9419.5407, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8886, predictive_accuracy: 0.8886, prior_entropy: 0.9832, recall: 0.8886, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5728, scimark_benchmark: 945.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 160.5391, build_memory: 224224593.6, f_measure: 0.8886, kappa: 0.772, kb_relative_information_score: 9419.5407, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8886, predictive_accuracy: 0.8886, prior_entropy: 0.9832, recall: 0.8886, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5728, scimark_benchmark: 946.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, build_cpu_time: 81.1281, build_memory: 627877568, f_measure: 0.8881, kappa: 0.7709, kb_relative_information_score: 9413.138, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8881, predictive_accuracy: 0.8881, prior_entropy: 0.9832, recall: 0.8881, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5746, scimark_benchmark: 948.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, build_cpu_time: 40.3126, build_memory: 1598305972.8, f_measure: 0.8867, kappa: 0.768, kb_relative_information_score: 9398.9188, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8867, predictive_accuracy: 0.8867, prior_entropy: 0.9832, recall: 0.8867, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5775, scimark_benchmark: 913.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 19.6501, build_memory: 145502772.8, f_measure: 0.8837, kappa: 0.762, kb_relative_information_score: 9393.0127, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8837, predictive_accuracy: 0.8837, prior_entropy: 0.9832, recall: 0.8837, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5829, scimark_benchmark: 941.5302,

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