OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9523, kappa: 0.883, kb_relative_information_score: 27931.0864, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201, scimark_benchmark: 1719.5281, usercpu_time_millis: 6447.326, usercpu_time_millis_testing: 15.18, usercpu_time_millis_training: 6432.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9318, kappa: 0.8303, kb_relative_information_score: 24559.8652, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1839.6678, usercpu_time_millis: 283.841, usercpu_time_millis_testing: 5.116, usercpu_time_millis_training: 278.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9598, kappa: 0.9013, kb_relative_information_score: 28498.7678, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3922, scimark_benchmark: 1806.0156, usercpu_time_millis: 965.759, usercpu_time_millis_testing: 8.346, usercpu_time_millis_training: 957.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8774, kappa: 0.7003, kb_relative_information_score: 16711.504, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8777, predictive_accuracy: 0.8772, prior_entropy: 0.863, recall: 0.8772, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6565, scimark_benchmark: 2108.0288, usercpu_time_millis: 95.536, usercpu_time_millis_testing: 4.254, usercpu_time_millis_training: 91.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.938, kappa: 0.8464, kb_relative_information_score: 25872.4811, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4776, scimark_benchmark: 1830.7354, usercpu_time_millis: 128.544, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 127.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 28604.5242, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, scimark_benchmark: 1727.5559, usercpu_time_millis: 498.531, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 496.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 27914.8717, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1807.0686, usercpu_time_millis: 30.772, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 29.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9389, kappa: 0.8494, kb_relative_information_score: 26311.1172, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1812.2719, usercpu_time_millis: 2511.548, usercpu_time_millis_testing: 7.545, usercpu_time_millis_training: 2504.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 27856.2729, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 1669.0462, usercpu_time_millis: 7439.509, usercpu_time_millis_testing: 16.651, usercpu_time_millis_training: 7422.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9338, kappa: 0.8355, kb_relative_information_score: 25296.6065, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4957, scimark_benchmark: 1847.3406, usercpu_time_millis: 511.467, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 509.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9332, kappa: 0.8341, kb_relative_information_score: 25267.367, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.497, scimark_benchmark: 1843.7522, usercpu_time_millis: 554.659, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 551.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9583, kappa: 0.8977, kb_relative_information_score: 28588.1252, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 2132.2886, usercpu_time_millis: 871.942, usercpu_time_millis_testing: 1.652, usercpu_time_millis_training: 870.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 28167.5773, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4103, scimark_benchmark: 1847.3877, usercpu_time_millis: 389.856, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 388.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9211, kappa: 0.802, kb_relative_information_score: 24641.947, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5094, scimark_benchmark: 1838.622, usercpu_time_millis: 398.234, usercpu_time_millis_testing: 3.86, usercpu_time_millis_training: 394.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.917, kappa: 0.7914, kb_relative_information_score: 22895.6975, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5314, scimark_benchmark: 2135.0459, usercpu_time_millis: 435.046, usercpu_time_millis_testing: 6.565, usercpu_time_millis_training: 428.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8832, kappa: 0.7141, kb_relative_information_score: 18914.2707, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8833, predictive_accuracy: 0.8831, prior_entropy: 0.863, recall: 0.8831, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6344, scimark_benchmark: 1854.4951, usercpu_time_millis: 542.399, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 540.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9316, kappa: 0.8303, kb_relative_information_score: 25236.7077, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9326, prior_entropy: 0.863, recall: 0.9326, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.502, scimark_benchmark: 1848.321, usercpu_time_millis: 4063.321, usercpu_time_millis_testing: 9.065, usercpu_time_millis_training: 4054.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9684, kappa: 0.9223, kb_relative_information_score: 29896.9714, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489, scimark_benchmark: 1837.1638, usercpu_time_millis: 621.558, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 619.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9502, kappa: 0.8777, kb_relative_information_score: 26902.9781, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1857.5664, usercpu_time_millis: 823.376, usercpu_time_millis_testing: 12.814, usercpu_time_millis_training: 810.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.958, kappa: 0.8968, kb_relative_information_score: 28034.0936, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4025, scimark_benchmark: 958.9022, usercpu_time_millis: 1329.117, usercpu_time_millis_testing: 24.663, usercpu_time_millis_training: 1304.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9595, kappa: 0.9004, kb_relative_information_score: 28331.9885, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1199.1999, usercpu_time_millis: 1201.514, usercpu_time_millis_testing: 27.034, usercpu_time_millis_training: 1174.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28587.0045, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1181.6639, usercpu_time_millis: 375.962, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 373.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9551, kappa: 0.8899, kb_relative_information_score: 28166.3521, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, scimark_benchmark: 1845.9141, usercpu_time_millis: 4331.595, usercpu_time_millis_testing: 14.039, usercpu_time_millis_training: 4317.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9322, kappa: 0.8316, kb_relative_information_score: 25240.8744, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4998, scimark_benchmark: 1185.4569, usercpu_time_millis: 5441.161, usercpu_time_millis_testing: 16.574, usercpu_time_millis_training: 5424.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.7776, kappa: 0.4277, kb_relative_information_score: 9964.8204, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.844, predictive_accuracy: 0.8113, prior_entropy: 0.863, recall: 0.8113, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7842, scimark_benchmark: 979.3621, usercpu_time_millis: 98.207, usercpu_time_millis_testing: 6.509, usercpu_time_millis_training: 91.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29128.7433, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1168.3198, usercpu_time_millis: 2665.983, usercpu_time_millis_testing: 30.368, usercpu_time_millis_training: 2635.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9522, kappa: 0.8827, kb_relative_information_score: 27913.2918, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.422, scimark_benchmark: 1833.1413, usercpu_time_millis: 5212.4, usercpu_time_millis_testing: 14.987, usercpu_time_millis_training: 5197.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 27485.0121, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4337, scimark_benchmark: 1269.0139, usercpu_time_millis: 2946.039, usercpu_time_millis_testing: 8.383, usercpu_time_millis_training: 2937.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8644, kappa: 0.6717, kb_relative_information_score: 17432.5813, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6862, scimark_benchmark: 1101.7943, usercpu_time_millis: 656.203, usercpu_time_millis_testing: 4.778, usercpu_time_millis_training: 651.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8948, kappa: 0.7367, kb_relative_information_score: 14638.2392, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8966, predictive_accuracy: 0.8976, prior_entropy: 0.863, recall: 0.8976, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6896, scimark_benchmark: 1166.2813, usercpu_time_millis: 216.366, usercpu_time_millis_testing: 12.028, usercpu_time_millis_training: 204.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9474, kappa: 0.8708, kb_relative_information_score: 26917.8993, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4444, scimark_benchmark: 1315.4272, usercpu_time_millis: 293.629, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 291.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9176, kappa: 0.7931, kb_relative_information_score: 22461.5193, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5367, scimark_benchmark: 1295.0976, usercpu_time_millis: 887.396, usercpu_time_millis_testing: 11.072, usercpu_time_millis_training: 876.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9418, kappa: 0.8557, kb_relative_information_score: 24619.4416, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4777, scimark_benchmark: 1277.2052, usercpu_time_millis: 331.412, usercpu_time_millis_testing: 15.79, usercpu_time_millis_training: 315.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29617.7914, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3545, scimark_benchmark: 859.8689, usercpu_time_millis: 2706.407, usercpu_time_millis_testing: 12.542, usercpu_time_millis_training: 2693.865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.935, kappa: 0.8385, kb_relative_information_score: 22396.1607, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5244, scimark_benchmark: 1799.1577, usercpu_time_millis: 15.413, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 14.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.4114, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1845.7061, usercpu_time_millis: 32.905, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 30.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.8705, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 2112.801, usercpu_time_millis: 40.272, usercpu_time_millis_testing: 5.843, usercpu_time_millis_training: 34.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.915, kappa: 0.7863, kb_relative_information_score: 23965.4385, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.9178, prior_entropy: 0.863, recall: 0.9178, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5297, scimark_benchmark: 2143.5961, usercpu_time_millis: 859.455, usercpu_time_millis_testing: 4.896, usercpu_time_millis_training: 854.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9163, kappa: 0.7895, kb_relative_information_score: 24429.8247, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5207, scimark_benchmark: 1837.7149, usercpu_time_millis: 928.837, usercpu_time_millis_testing: 5.856, usercpu_time_millis_training: 922.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8689, kappa: 0.6798, kb_relative_information_score: 17416.9844, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8684, prior_entropy: 0.863, recall: 0.8684, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6718, scimark_benchmark: 1128.8521, usercpu_time_millis: 739.828, usercpu_time_millis_testing: 14.597, usercpu_time_millis_training: 725.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9103, kappa: 0.7772, kb_relative_information_score: 21860.9221, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9105, predictive_accuracy: 0.9116, prior_entropy: 0.863, recall: 0.9116, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.257, root_relative_squared_error: 0.569, scimark_benchmark: 1205.4589, usercpu_time_millis: 2422.168, usercpu_time_millis_testing: 15.604, usercpu_time_millis_training: 2406.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9348, kappa: 0.8384, kb_relative_information_score: 25661.0472, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487, scimark_benchmark: 1207.7037, usercpu_time_millis: 4886.678, usercpu_time_millis_testing: 20.946, usercpu_time_millis_training: 4865.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 1.1508, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 920.4893, usercpu_time_millis: 36.053, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 32.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 27667.5516, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1104.2762, usercpu_time_millis: 1127.897, usercpu_time_millis_testing: 6.187, usercpu_time_millis_training: 1121.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9322, kappa: 0.8317, kb_relative_information_score: 25231.6087, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4999, scimark_benchmark: 1839.1443, usercpu_time_millis: 3884.737, usercpu_time_millis_testing: 12.527, usercpu_time_millis_training: 3872.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9608, kappa: 0.9032, kb_relative_information_score: 26430.7727, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4097, scimark_benchmark: 1248.2262, usercpu_time_millis: 800.341, usercpu_time_millis_testing: 43.365, usercpu_time_millis_training: 756.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9519, kappa: 0.8821, kb_relative_information_score: 27905.2968, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4212, scimark_benchmark: 2138.2228, usercpu_time_millis: 2147.956, usercpu_time_millis_testing: 7.004, usercpu_time_millis_training: 2140.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29727.4703, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3485, scimark_benchmark: 1103.0384, usercpu_time_millis: 4330.222, usercpu_time_millis_testing: 31.571, usercpu_time_millis_training: 4298.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29715.2573, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1181.2202, usercpu_time_millis: 13720.783, usercpu_time_millis_testing: 28.577, usercpu_time_millis_training: 13692.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8581, kappa: 0.6547, kb_relative_information_score: 15531.1067, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7412, scimark_benchmark: 1110.1562, usercpu_time_millis: 653.46, usercpu_time_millis_testing: 11.126, usercpu_time_millis_training: 642.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 28962.2627, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 1223.0369, usercpu_time_millis: 1484.989, usercpu_time_millis_testing: 15.977, usercpu_time_millis_training: 1469.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9207, kappa: 0.8011, kb_relative_information_score: 24621.1437, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5164, scimark_benchmark: 1231.9974, usercpu_time_millis: 463.923, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 462.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 29900.9498, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.343, scimark_benchmark: 1196.2644, usercpu_time_millis: 2956.333, usercpu_time_millis_testing: 20.595, usercpu_time_millis_training: 2935.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9178, kappa: 0.7934, kb_relative_information_score: 23462.9755, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5223, scimark_benchmark: 1137.773, usercpu_time_millis: 808.25, usercpu_time_millis_testing: 14.217, usercpu_time_millis_training: 794.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9681, kappa: 0.9216, kb_relative_information_score: 29713.2338, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1217.8665, usercpu_time_millis: 3241.727, usercpu_time_millis_testing: 10.885, usercpu_time_millis_training: 3230.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28965.7123, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3783, scimark_benchmark: 1299.4704, usercpu_time_millis: 4994.032, usercpu_time_millis_testing: 21.462, usercpu_time_millis_training: 4972.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9533, kappa: 0.8852, kb_relative_information_score: 27172.8982, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4254, scimark_benchmark: 1836.6789, usercpu_time_millis: 458.208, usercpu_time_millis_testing: 15.934, usercpu_time_millis_training: 442.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.7486, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 25.343, usercpu_time_millis_testing: 2.762, usercpu_time_millis_training: 22.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28488.6568, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1846.8212, usercpu_time_millis: 2470.357, usercpu_time_millis_testing: 9.988, usercpu_time_millis_training: 2460.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9107, kappa: 0.7783, kb_relative_information_score: 21769.207, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.911, predictive_accuracy: 0.9121, prior_entropy: 0.863, recall: 0.9121, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5639, scimark_benchmark: 1050.9762, usercpu_time_millis: 737.893, usercpu_time_millis_testing: 5.234, usercpu_time_millis_training: 732.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29420.6059, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3614, scimark_benchmark: 1094.6875, usercpu_time_millis: 3887.649, usercpu_time_millis_testing: 17.106, usercpu_time_millis_training: 3870.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26614.3089, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583, scimark_benchmark: 1010.5492, usercpu_time_millis: 3755.821, usercpu_time_millis_testing: 13.084, usercpu_time_millis_training: 3742.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29553.3784, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3626, scimark_benchmark: 1858.6775, usercpu_time_millis: 175.212, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 174.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9136, kappa: 0.7828, kb_relative_information_score: 24052.484, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.918, predictive_accuracy: 0.9165, prior_entropy: 0.863, recall: 0.9165, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5352, scimark_benchmark: 1957.1694, usercpu_time_millis: 2024.29, usercpu_time_millis_testing: 6.149, usercpu_time_millis_training: 2018.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8582, kappa: 0.6547, kb_relative_information_score: 15575.5831, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8573, prior_entropy: 0.863, recall: 0.8573, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.741, scimark_benchmark: 1845.264, usercpu_time_millis: 193.103, usercpu_time_millis_testing: 4.403, usercpu_time_millis_training: 188.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8767, kappa: 0.6992, kb_relative_information_score: 19022.0739, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8774, predictive_accuracy: 0.8761, prior_entropy: 0.863, recall: 0.8761, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.6293, scimark_benchmark: 1850.2875, usercpu_time_millis: 359.421, usercpu_time_millis_testing: 6.12, usercpu_time_millis_training: 353.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9255, kappa: 0.8141, kb_relative_information_score: 22436.8079, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5297, scimark_benchmark: 2133.0437, usercpu_time_millis: 324.677, usercpu_time_millis_testing: 7.635, usercpu_time_millis_training: 317.042,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs