Task
Supervised Classification on covertype

Supervised Classification on covertype

Task 218 Supervised Classification covertype 43 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.943, kappa: 0.9086, kb_relative_information_score: 528924.6168, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.2516, kappa: 0.025, kb_relative_information_score: -65946.5649, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.4038, predictive_accuracy: 0.2021, prior_entropy: 1.7387, recall: 0.2021, relative_absolute_error: 1.2804, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9429, kappa: 0.9084, kb_relative_information_score: 528818.0648, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9429, predictive_accuracy: 0.9429, prior_entropy: 1.7387, recall: 0.9429, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.943, kappa: 0.9084, kb_relative_information_score: 528793.5261, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9429, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9432, kappa: 0.9088, kb_relative_information_score: 528913.1907, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9432, predictive_accuracy: 0.9432, prior_entropy: 1.7387, recall: 0.9432, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6169, kappa: 0.4055, kb_relative_information_score: 256433.7106, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6316, predictive_accuracy: 0.6421, prior_entropy: 1.7387, recall: 0.6421, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528761.3301, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.6169, kappa: 0.4055, kb_relative_information_score: 237905.4119, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6316, predictive_accuracy: 0.6421, prior_entropy: 1.7387, recall: 0.6421, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528844.1795, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9642, kappa: 0.9426, kb_relative_information_score: 533731.5884, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 1.7387, recall: 0.9643, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9641, kappa: 0.9424, kb_relative_information_score: 533441.8719, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 1.7387, recall: 0.9642, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9431, kappa: 0.9087, kb_relative_information_score: 528993.8532, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 1.7387, recall: 0.9431, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9433, kappa: 0.909, kb_relative_information_score: 529094.857, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 1.7387, recall: 0.9433, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9432, kappa: 0.9089, kb_relative_information_score: 529034.6505, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 1.7387, recall: 0.9433, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9432, kappa: 0.9088, kb_relative_information_score: 529016.4673, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9432, predictive_accuracy: 0.9432, prior_entropy: 1.7387, recall: 0.9432, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528851.581, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.6169, kappa: 0.4055, kb_relative_information_score: 237905.4119, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6316, predictive_accuracy: 0.6421, prior_entropy: 1.7387, recall: 0.6421, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528952.7767, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9431, kappa: 0.9086, kb_relative_information_score: 528869.3924, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 1.7387, recall: 0.9431, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9428, kappa: 0.9082, kb_relative_information_score: 528656.3223, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 1.7387, recall: 0.9428, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9432, kappa: 0.9088, kb_relative_information_score: 529003.7441, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 1.7387, recall: 0.9432, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528872.0005, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9433, kappa: 0.909, kb_relative_information_score: 529113.5873, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 1.7387, recall: 0.9433, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9442, kappa: 0.9106, kb_relative_information_score: 500471.6761, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 1.7387, recall: 0.9445, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9452, kappa: 0.9121, kb_relative_information_score: 501291.9657, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 1.7387, recall: 0.9455, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.943, kappa: 0.9085, kb_relative_information_score: 528825.6518, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 1.7387, recall: 0.943, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6625, kappa: 0.4667, kb_relative_information_score: 238163.4778, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6769, predictive_accuracy: 0.6545, prior_entropy: 1.7387, recall: 0.6545, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9461, scimark_benchmark: 908.0036, usercpu_time_millis: 473470, usercpu_time_millis_testing: 164890, usercpu_time_millis_training: 308580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6622, kappa: 0.4663, kb_relative_information_score: -826.3628, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6767, predictive_accuracy: 0.6542, prior_entropy: 1.7387, recall: 0.6542, relative_absolute_error: 1.226, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0574, scimark_benchmark: 911.0478, usercpu_time_millis: 366820, usercpu_time_millis_testing: 109910, usercpu_time_millis_training: 256910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6622, kappa: 0.4663, kb_relative_information_score: -826.3628, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6767, predictive_accuracy: 0.6542, prior_entropy: 1.7387, recall: 0.6542, relative_absolute_error: 1.226, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0574, scimark_benchmark: 936.6206, usercpu_time_millis: 359160, usercpu_time_millis_testing: 108480, usercpu_time_millis_training: 250680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6622, kappa: 0.4663, kb_relative_information_score: -826.3628, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6767, predictive_accuracy: 0.6542, prior_entropy: 1.7387, recall: 0.6542, relative_absolute_error: 1.226, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0574, scimark_benchmark: 894.7455, usercpu_time_millis: 351880, usercpu_time_millis_testing: 105310, usercpu_time_millis_training: 246570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.3196, kb_relative_information_score: 111452.1843, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9624, scimark_benchmark: 911.0478, usercpu_time_millis: 12840, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 12380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.3196, kb_relative_information_score: 111452.1843, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9624, scimark_benchmark: 911.3823, usercpu_time_millis: 13130, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 12660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.3196, kb_relative_information_score: 111452.1843, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9624, scimark_benchmark: 938.4278, usercpu_time_millis: 12680, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 12200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.3196, kb_relative_information_score: 111452.1843, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9624, scimark_benchmark: 934.5243, usercpu_time_millis: 13220, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 12590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.3196, kb_relative_information_score: 111452.1843, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9624, scimark_benchmark: 938.9865, usercpu_time_millis: 12600, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 12150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.712, kappa: 0.54, kb_relative_information_score: 303716.8777, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.717, predictive_accuracy: 0.7207, prior_entropy: 1.7387, recall: 0.7207, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.7882, scimark_benchmark: 923.9763, usercpu_time_millis: 1203890, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1203040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.6885, kappa: 0.5059, kb_relative_information_score: 286268.2876, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6923, predictive_accuracy: 0.7002, prior_entropy: 1.7387, recall: 0.7002, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8119, scimark_benchmark: 902.4773, usercpu_time_millis: 644290, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 643210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3196, kb_relative_information_score: 0.8383, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2984, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 920, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9534, kappa: 0.9253, kb_relative_information_score: 512895.4005, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 1.7387, recall: 0.9536, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3622, scimark_benchmark: 938.9865, usercpu_time_millis: 180760, usercpu_time_millis_testing: 5320, usercpu_time_millis_training: 175440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.697, kappa: 0.514, kb_relative_information_score: 289145.9754, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.6947, predictive_accuracy: 0.7019, prior_entropy: 1.7387, recall: 0.7019, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.8214, scimark_benchmark: 930.32, usercpu_time_millis: 87970, usercpu_time_millis_testing: 6590, usercpu_time_millis_training: 81380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9655, kappa: 0.9447, kb_relative_information_score: 538701.7342, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 1.7387, recall: 0.9656, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2956, scimark_benchmark: 938.9865, usercpu_time_millis: 20371270, usercpu_time_millis_testing: 65520, usercpu_time_millis_training: 20305750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3196, kb_relative_information_score: 86054.8448, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.3826, root_relative_squared_error: 1.2825, scimark_benchmark: 901.0726, usercpu_time_millis: 5890, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 4900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.3196, kb_relative_information_score: 111799.1499, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.2378, predictive_accuracy: 0.4876, prior_entropy: 1.7387, recall: 0.4876, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.9583, scimark_benchmark: 947.9494, usercpu_time_millis: 12970, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 12200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 12192.704, build_memory: 3926964622.8094, f_measure: 0.9665, kappa: 0.9462, kb_relative_information_score: 534954.5838, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.178, number_of_instances: 581012, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 1.7387, recall: 0.9665, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.2984, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2961, scimark_benchmark: 912.8153,

    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