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OpenML
Task
Supervised Classification on eye_movements

Supervised Classification on eye_movements

Task 3897 Supervised Classification eye_movements 287 runs submitted
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Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.5684, kappa: 0.3377, kb_relative_information_score: 3937.336, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5787, predictive_accuracy: 0.5669, prior_entropy: 1.5663, recall: 0.5669, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.949, scimark_benchmark: 939.5088, usercpu_time_millis: 23840, usercpu_time_millis_testing: 23840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.4491, kappa: 0.1578, kb_relative_information_score: 2177.1488, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.457, predictive_accuracy: 0.4523, prior_entropy: 1.5663, recall: 0.4523, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0446, scimark_benchmark: 1290.1085, usercpu_time_millis: 490400, usercpu_time_millis_testing: 88520, usercpu_time_millis_training: 401880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.5084, kappa: 0.2431, kb_relative_information_score: 2854.6547, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5188, predictive_accuracy: 0.5085, prior_entropy: 1.5663, recall: 0.5085, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9894, scimark_benchmark: 1333.5799, usercpu_time_millis: 9640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5035, kappa: 0.2356, kb_relative_information_score: 1986.0368, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5102, predictive_accuracy: 0.502, prior_entropy: 1.5663, recall: 0.502, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9413, scimark_benchmark: 1318.1432, usercpu_time_millis: 4380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.3741, kappa: 0.0542, kb_relative_information_score: 1470.8356, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.3779, predictive_accuracy: 0.3776, prior_entropy: 1.5663, recall: 0.3776, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3752, scimark_benchmark: 1331.6907, usercpu_time_millis: 11800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 1304.6687, usercpu_time_millis: 515030, usercpu_time_millis_testing: 50900, usercpu_time_millis_training: 464130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 1350.9691, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.5636, kappa: 0.3333, kb_relative_information_score: 3321.5337, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5652, predictive_accuracy: 0.5628, prior_entropy: 1.5663, recall: 0.5628, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.899, scimark_benchmark: 1250.8301, usercpu_time_millis: 2490, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1250.8301, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7115, kappa: 0.5576, kb_relative_information_score: 3847.9757, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7149, predictive_accuracy: 0.7104, prior_entropy: 1.5663, recall: 0.7104, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8122, scimark_benchmark: 1315.3881, usercpu_time_millis: 8950, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 7900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.5424, kappa: 0.3041, kb_relative_information_score: 4016.901, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5425, predictive_accuracy: 0.5423, prior_entropy: 1.5663, recall: 0.5423, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1792, scimark_benchmark: 1301.9956, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.5869, kappa: 0.3714, kb_relative_information_score: 3885.3341, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5872, predictive_accuracy: 0.5867, prior_entropy: 1.5663, recall: 0.5867, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9255, scimark_benchmark: 1369.9744, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6176, kappa: 0.4183, kb_relative_information_score: 4384.7465, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6177, predictive_accuracy: 0.6174, prior_entropy: 1.5663, recall: 0.6174, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9209, scimark_benchmark: 1330.2678, usercpu_time_millis: 6150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.2288, kappa: 0.0227, kb_relative_information_score: 1194.5314, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4679, predictive_accuracy: 0.3634, prior_entropy: 1.5663, recall: 0.3634, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6515, root_relative_squared_error: 1.3908, scimark_benchmark: 1319.6463, usercpu_time_millis: 176140, usercpu_time_millis_testing: 37640, usercpu_time_millis_training: 138500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.6432, kappa: 0.4588, kb_relative_information_score: 5460.583, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6432, predictive_accuracy: 0.6434, prior_entropy: 1.5663, recall: 0.6434, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9938, scimark_benchmark: 1465.2979, usercpu_time_millis: 43810, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 43450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.5824, kappa: 0.3651, kb_relative_information_score: 4588.7086, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5826, predictive_accuracy: 0.5839, prior_entropy: 1.5663, recall: 0.5839, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1245, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.5223, kappa: 0.3023, kb_relative_information_score: 3951.5155, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5296, predictive_accuracy: 0.5317, prior_entropy: 1.5663, recall: 0.5317, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1928, scimark_benchmark: 1464.9318, usercpu_time_millis: 9130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2186, kb_relative_information_score: 0.1779, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4684, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6592, kappa: 0.4824, kb_relative_information_score: 5620.2246, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6592, predictive_accuracy: 0.6592, prior_entropy: 1.5663, recall: 0.6592, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9602, scimark_benchmark: 1466.6185, usercpu_time_millis: 1240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604, scimark_benchmark: 931.2336, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604, scimark_benchmark: 938.2848, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604, scimark_benchmark: 938.2848, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604, scimark_benchmark: 942.3168, usercpu_time_millis: 340, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.4295, kappa: 0.1428, kb_relative_information_score: 2226.3271, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4451, predictive_accuracy: 0.4407, prior_entropy: 1.5663, recall: 0.4407, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0604, scimark_benchmark: 938.2848, usercpu_time_millis: 350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 936.7115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 876.8277, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.394, kappa: 0.1502, kb_relative_information_score: 1219.6813, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4182, predictive_accuracy: 0.4207, prior_entropy: 1.5663, recall: 0.4207, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9774, scimark_benchmark: 922.9039, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.5912, kappa: 0.3749, kb_relative_information_score: 3344.4965, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5931, predictive_accuracy: 0.5902, prior_entropy: 1.5663, recall: 0.5902, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8807, scimark_benchmark: 941.7954, usercpu_time_millis: 35770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 35760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.5772, kappa: 0.3533, kb_relative_information_score: 3144.6039, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5792, predictive_accuracy: 0.5761, prior_entropy: 1.5663, recall: 0.5761, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8889, scimark_benchmark: 943.2817, usercpu_time_millis: 13560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.5675, kappa: 0.3374, kb_relative_information_score: 2939.4716, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5704, predictive_accuracy: 0.5662, prior_entropy: 1.5663, recall: 0.5662, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8964, scimark_benchmark: 911.0478, usercpu_time_millis: 7430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.5526, kappa: 0.313, kb_relative_information_score: 2679.6264, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5572, predictive_accuracy: 0.5512, prior_entropy: 1.5663, recall: 0.5512, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9058, scimark_benchmark: 945.6434, usercpu_time_millis: 4130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5422, kappa: 0.2979, kb_relative_information_score: 2444.745, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5464, predictive_accuracy: 0.5412, prior_entropy: 1.5663, recall: 0.5412, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9143, scimark_benchmark: 943.2817, usercpu_time_millis: 1830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2186, kb_relative_information_score: 0.1779, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4684, 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: 0.8305, f_measure: 0.6773, kappa: 0.5055, kb_relative_information_score: 4432.1577, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6815, predictive_accuracy: 0.6757, prior_entropy: 1.5663, recall: 0.6757, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.8158, scimark_benchmark: 902.4773, usercpu_time_millis: 1580, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5191, kappa: 0.2623, kb_relative_information_score: 2337.6252, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5255, predictive_accuracy: 0.5189, prior_entropy: 1.5663, recall: 0.5189, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9339, scimark_benchmark: 932.3943, usercpu_time_millis: 530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5422, kappa: 0.2979, kb_relative_information_score: 2444.745, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5464, predictive_accuracy: 0.5412, prior_entropy: 1.5663, recall: 0.5412, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9143, scimark_benchmark: 932.3943, usercpu_time_millis: 1690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.6836, kappa: 0.5172, kb_relative_information_score: 5680.9339, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6847, predictive_accuracy: 0.6832, prior_entropy: 1.5663, recall: 0.6832, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8051, scimark_benchmark: 904.3001, usercpu_time_millis: 7680, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 7370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7429, kappa: 0.6091, kb_relative_information_score: 5607.0487, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7431, predictive_accuracy: 0.743, prior_entropy: 1.5663, recall: 0.743, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7551, scimark_benchmark: 923.3111, usercpu_time_millis: 303640, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 303360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.3587, kappa: 0.1551, kb_relative_information_score: 1132.1131, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.3745, predictive_accuracy: 0.4541, prior_entropy: 1.5663, recall: 0.4541, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9663, scimark_benchmark: 917.7039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.6701, kappa: 0.4922, kb_relative_information_score: 5663.792, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6753, predictive_accuracy: 0.668, prior_entropy: 1.5663, recall: 0.668, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8512, scimark_benchmark: 901.0726, usercpu_time_millis: 1383140, usercpu_time_millis_testing: 1383140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.2186, kb_relative_information_score: 1476.8838, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0865, scimark_benchmark: 941.8057, usercpu_time_millis: 1893270, usercpu_time_millis_testing: 69540, usercpu_time_millis_training: 1823730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.6205, kappa: 0.4216, kb_relative_information_score: 4647.5796, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6211, predictive_accuracy: 0.6201, prior_entropy: 1.5663, recall: 0.6201, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9356, scimark_benchmark: 929.566, usercpu_time_millis: 545630, usercpu_time_millis_testing: 545510, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7846, kappa: 0.6705, kb_relative_information_score: 7670.2934, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7862, predictive_accuracy: 0.7838, prior_entropy: 1.5663, recall: 0.7838, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7995, scimark_benchmark: 911.3823, usercpu_time_millis: 214240, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 212100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7899, kappa: 0.6786, kb_relative_information_score: 7749.3535, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7915, predictive_accuracy: 0.7891, prior_entropy: 1.5663, recall: 0.7891, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7948, scimark_benchmark: 941.8057, usercpu_time_millis: 438210, usercpu_time_millis_testing: 5010, usercpu_time_millis_training: 433200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.6117, kappa: 0.4056, kb_relative_information_score: 4886.7871, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.614, predictive_accuracy: 0.6104, prior_entropy: 1.5663, recall: 0.6104, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9621, scimark_benchmark: 918.4924, usercpu_time_millis: 129140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 129040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.5636, kappa: 0.3333, kb_relative_information_score: 3321.5337, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5652, predictive_accuracy: 0.5628, prior_entropy: 1.5663, recall: 0.5628, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.899, scimark_benchmark: 915.2795, usercpu_time_millis: 2950, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.4491, kappa: 0.158, kb_relative_information_score: 2177.3512, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4571, predictive_accuracy: 0.4524, prior_entropy: 1.5663, recall: 0.4524, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0446, scimark_benchmark: 923.9763, usercpu_time_millis: 511850, usercpu_time_millis_testing: 79030, usercpu_time_millis_training: 432820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, build_cpu_time: 1240.0638, build_memory: 958302873.2202, f_measure: 0.7118, kappa: 0.5598, kb_relative_information_score: 4878.4042, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7131, predictive_accuracy: 0.7111, prior_entropy: 1.5663, recall: 0.7111, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.364, root_relative_squared_error: 0.777, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, build_cpu_time: 2310.9521, build_memory: 1103802428.3833, f_measure: 0.7293, kappa: 0.5864, kb_relative_information_score: 4910.2832, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7306, predictive_accuracy: 0.7286, prior_entropy: 1.5663, recall: 0.7286, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7653, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 4686.5822, build_memory: 1309642591.7659, f_measure: 0.7418, kappa: 0.6055, kb_relative_information_score: 4920.8349, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7432, predictive_accuracy: 0.7411, prior_entropy: 1.5663, recall: 0.7411, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7594, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, build_cpu_time: 9983.2759, build_memory: 2081266997.6767, f_measure: 0.7475, kappa: 0.6142, kb_relative_information_score: 4931.0566, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7488, predictive_accuracy: 0.7468, prior_entropy: 1.5663, recall: 0.7468, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7564, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 1650.5944, build_memory: 1431363304.4448, f_measure: 0.6184, kappa: 0.4134, kb_relative_information_score: 3199.703, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6409, predictive_accuracy: 0.6195, prior_entropy: 1.5663, recall: 0.6195, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8635, scimark_benchmark: 944.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 178.9878, build_memory: 980135421.0973, f_measure: 0.7541, kappa: 0.6247, kb_relative_information_score: 4852.4726, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.755, predictive_accuracy: 0.7537, prior_entropy: 1.5663, recall: 0.7537, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.755, scimark_benchmark: 947.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 87.634, build_memory: 903825972.6013, f_measure: 0.7482, kappa: 0.6159, kb_relative_information_score: 4841.0378, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7491, predictive_accuracy: 0.7478, prior_entropy: 1.5663, recall: 0.7478, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7583, scimark_benchmark: 934.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 54.746, build_memory: 3030510180.3994, f_measure: 0.7371, kappa: 0.5989, kb_relative_information_score: 4831.1651, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7382, predictive_accuracy: 0.7367, prior_entropy: 1.5663, recall: 0.7367, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7636, scimark_benchmark: 938.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 24.0869, build_memory: 1062836731.6094, f_measure: 0.7197, kappa: 0.5727, kb_relative_information_score: 4803.4271, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7205, predictive_accuracy: 0.7194, prior_entropy: 1.5663, recall: 0.7194, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.363, root_relative_squared_error: 0.775, scimark_benchmark: 939.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 21.8303, build_memory: 1018267640.6518, f_measure: 0.7197, kappa: 0.5727, kb_relative_information_score: 4803.4271, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7205, predictive_accuracy: 0.7194, prior_entropy: 1.5663, recall: 0.7194, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.363, root_relative_squared_error: 0.775, scimark_benchmark: 946.0744,

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