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OpenML
Task
Supervised Classification on fri_c1_500_10

Supervised Classification on fri_c1_500_10

Task 3689 Supervised Classification fri_c1_500_10 565 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7241, kappa: 0.4433, kb_relative_information_score: 173.5798, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7242, predictive_accuracy: 0.724, prior_entropy: 0.9934, recall: 0.724, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8968, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.4321, kappa: 0.1178, kb_relative_information_score: 17.6337, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7182, predictive_accuracy: 0.524, prior_entropy: 0.9934, recall: 0.524, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3863, scimark_benchmark: 1312.3073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 41.9534, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 1333.5799, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 145.3119, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1887, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6785, kappa: 0.3495, kb_relative_information_score: 91.6929, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9132, scimark_benchmark: 934.6432, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6501, kappa: 0.292, kb_relative_information_score: 147.3385, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6502, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1853, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6684, kappa: 0.3319, kb_relative_information_score: 114.4745, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6692, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.903, scimark_benchmark: 924.3698, usercpu_time_millis: 10060, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 9990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8521, kappa: 0.7015, kb_relative_information_score: 316.5609, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.703, scimark_benchmark: 1372.2145, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.904, kappa: 0.8061, kb_relative_information_score: 323.9553, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9934, recall: 0.904, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.552, scimark_benchmark: 1327.8711, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8041, kappa: 0.605, kb_relative_information_score: 301.3629, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8044, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8895, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8557, kappa: 0.7082, kb_relative_information_score: 307.8102, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6963, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.858, kappa: 0.7132, kb_relative_information_score: 320.9098, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9934, recall: 0.858, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7071, scimark_benchmark: 1354.2491, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7655, kappa: 0.5305, kb_relative_information_score: 270.9634, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.774, prior_entropy: 0.9934, recall: 0.774, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9552, scimark_benchmark: 825.5282, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.3665, kappa: 0.0181, kb_relative_information_score: -37.0855, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.5381, predictive_accuracy: 0.47, prior_entropy: 0.9934, recall: 0.47, relative_absolute_error: 1.0698, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.728, root_relative_squared_error: 1.4628, scimark_benchmark: 1292.2426, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8296, kappa: 0.6554, kb_relative_information_score: 319.8325, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9934, recall: 0.83, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7317, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7883, kappa: 0.5734, kb_relative_information_score: 285.1498, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.789, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8614, kappa: 0.7196, kb_relative_information_score: 360.1354, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8628, predictive_accuracy: 0.862, prior_entropy: 0.9934, recall: 0.862, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7464, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.388, kb_relative_information_score: -0.0489, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4977, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8402, kappa: 0.6783, kb_relative_information_score: 337.1907, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7701, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6588, kappa: 0.3099, kb_relative_information_score: 150.547, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0956, scimark_benchmark: 931.2336, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 923.7642, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8881, kappa: 0.7746, kb_relative_information_score: 384.917, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6157, scimark_benchmark: 911.3823, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8623, kappa: 0.7228, kb_relative_information_score: 359.6601, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8637, predictive_accuracy: 0.862, prior_entropy: 0.9934, recall: 0.862, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6584, scimark_benchmark: 943.2817, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8344, kappa: 0.6676, kb_relative_information_score: 323.2725, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8377, predictive_accuracy: 0.834, prior_entropy: 0.9934, recall: 0.834, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7375, scimark_benchmark: 942.1229, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7965, kappa: 0.5917, kb_relative_information_score: 286.1028, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8213, scimark_benchmark: 922.9039, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7624, kappa: 0.522, kb_relative_information_score: 245.5199, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7639, predictive_accuracy: 0.762, prior_entropy: 0.9934, recall: 0.762, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8658, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8762, kappa: 0.7505, kb_relative_information_score: 363.4398, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8768, predictive_accuracy: 0.876, prior_entropy: 0.9934, recall: 0.876, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5959, scimark_benchmark: 936.6206, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8881, kappa: 0.7746, kb_relative_information_score: 360.5011, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8887, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5695, scimark_benchmark: 924.6116, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8841, kappa: 0.7664, kb_relative_information_score: 346.7378, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5647, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8701, kappa: 0.7379, kb_relative_information_score: 319.3456, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9934, recall: 0.87, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.594, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.856, kappa: 0.7093, kb_relative_information_score: 276.8865, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.324, root_relative_squared_error: 0.651, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.5291, kappa: 0.1871, kb_relative_information_score: 60.0271, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6695, predictive_accuracy: 0.57, prior_entropy: 0.9934, recall: 0.57, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9838, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.1567, build_memory: 85282542.4, f_measure: 0.9079, kappa: 0.8139, kb_relative_information_score: 324.6079, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9934, recall: 0.908, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5546, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.2412, build_memory: 502402594.4, f_measure: 0.8139, kappa: 0.6241, kb_relative_information_score: 313.6709, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8138, predictive_accuracy: 0.814, prior_entropy: 0.9934, recall: 0.814, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.424, root_relative_squared_error: 0.852, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 0.1639, build_memory: 1371312117.6, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 324.1271, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.819, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, build_cpu_time: 0.0935, build_memory: 514111958.4, f_measure: 0.8198, kappa: 0.6361, kb_relative_information_score: 315.4381, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8185, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, build_cpu_time: 0.0293, build_memory: 1568036487.2, f_measure: 0.81, kappa: 0.6163, kb_relative_information_score: 306.1571, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9934, recall: 0.81, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.808, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 0.016, build_memory: 632653524, f_measure: 0.8079, kappa: 0.6121, kb_relative_information_score: 295.7295, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7817, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0235, build_memory: 547385596, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.023, build_memory: 1863303033.6, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0369, build_memory: 1034381180, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0252, build_memory: 1035247905.6, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0304, build_memory: 1094938401.6, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 16.6218, build_memory: 777665849.6, f_measure: 0.8502, kappa: 0.6983, kb_relative_information_score: 336.7638, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.851, predictive_accuracy: 0.85, prior_entropy: 0.9934, recall: 0.85, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6631, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, build_cpu_time: 33.2085, build_memory: 487341760, f_measure: 0.888, kappa: 0.7741, kb_relative_information_score: 379.5008, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5944, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 66.2545, build_memory: 3417552117.6, f_measure: 0.9081, kappa: 0.8146, kb_relative_information_score: 403.3371, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9082, predictive_accuracy: 0.908, prior_entropy: 0.9934, recall: 0.908, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5689, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 130.6669, build_memory: 770962554.4, f_measure: 0.9061, kappa: 0.8105, kb_relative_information_score: 400.5538, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 0.9934, recall: 0.906, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5988, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 269.3599, build_memory: 29822467.2, f_measure: 0.9021, kappa: 0.8026, kb_relative_information_score: 402.0265, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 0.9934, recall: 0.902, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6148, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 34.5285, build_memory: 974349036, f_measure: 0.9299, kappa: 0.8584, kb_relative_information_score: 427.6146, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9934, recall: 0.93, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5337, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, build_cpu_time: 18.2921, build_memory: 155118078.4, f_measure: 0.93, kappa: 0.8585, kb_relative_information_score: 428.273, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9934, recall: 0.93, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5301, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 9.2859, build_memory: 2222712468, f_measure: 0.9219, kappa: 0.8421, kb_relative_information_score: 420.0135, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9221, predictive_accuracy: 0.922, prior_entropy: 0.9934, recall: 0.922, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5546, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 4.641, build_memory: 207971304, f_measure: 0.9138, kappa: 0.8257, kb_relative_information_score: 409.096, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9144, predictive_accuracy: 0.914, prior_entropy: 0.9934, recall: 0.914, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5853, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, build_cpu_time: 0.4626, build_memory: 326613888.8, f_measure: 0.8959, kappa: 0.7896, kb_relative_information_score: 384.5212, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6053, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.877, build_memory: 1058891917.6, f_measure: 0.9, kappa: 0.7981, kb_relative_information_score: 398.2408, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9934, recall: 0.9, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5923, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 1.8202, build_memory: 289802968, f_measure: 0.9119, kappa: 0.8221, kb_relative_information_score: 411.1914, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9934, recall: 0.912, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5739, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 3.3693, build_memory: 802627418.4, f_measure: 0.91, kappa: 0.8184, kb_relative_information_score: 411.0085, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.9934, recall: 0.91, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5866, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, build_cpu_time: 1.5259, build_memory: 1259294909.6, f_measure: 0.9181, kappa: 0.8349, kb_relative_information_score: 413.1213, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9186, predictive_accuracy: 0.918, prior_entropy: 0.9934, recall: 0.918, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5741, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, build_cpu_time: 1.2157, build_memory: 918990293.6, f_measure: 0.91, kappa: 0.8185, kb_relative_information_score: 407.7231, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 0.9934, recall: 0.91, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5864, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 0.5783, build_memory: 329337279.2, f_measure: 0.916, kappa: 0.8304, kb_relative_information_score: 412.7314, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9934, recall: 0.916, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5716, scimark_benchmark: 939.521,

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