Task
Supervised Classification on satimage

Supervised Classification on satimage

Task 2939 Supervised Classification satimage 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8439, kappa: 0.8105, kb_relative_information_score: 51300.1283, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8428, predictive_accuracy: 0.8471, prior_entropy: 2.4836, recall: 0.8471, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.5643, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.825, kappa: 0.7881, kb_relative_information_score: 48427.5851, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8269, predictive_accuracy: 0.8292, prior_entropy: 2.4836, recall: 0.8292, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.205, root_relative_squared_error: 0.5579, scimark_benchmark: 851.2074, usercpu_time_millis: 5200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8275, kappa: 0.7803, kb_relative_information_score: 51226.4816, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8417, predictive_accuracy: 0.8205, prior_entropy: 2.4836, recall: 0.8205, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6527, scimark_benchmark: 941.6675, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 938.191, usercpu_time_millis: 460, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8901, kappa: 0.8672, kb_relative_information_score: 54297.9043, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8899, predictive_accuracy: 0.8929, prior_entropy: 2.4836, recall: 0.8929, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4405, scimark_benchmark: 941.6675, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.915, kappa: 0.8976, kb_relative_information_score: 55532.8134, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9152, predictive_accuracy: 0.9173, prior_entropy: 2.4836, recall: 0.9173, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002, scimark_benchmark: 931.771, usercpu_time_millis: 3780, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8969, kappa: 0.8751, kb_relative_information_score: 56338.5547, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8963, predictive_accuracy: 0.8991, prior_entropy: 2.4836, recall: 0.8991, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4992, scimark_benchmark: 941.3847, usercpu_time_millis: 22730, usercpu_time_millis_testing: 13450, usercpu_time_millis_training: 9280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8275, kappa: 0.7803, kb_relative_information_score: 51226.4816, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8417, predictive_accuracy: 0.8205, prior_entropy: 2.4836, recall: 0.8205, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6527, scimark_benchmark: 932.438, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 974.2014, usercpu_time_millis: 590, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8272, kappa: 0.7798, kb_relative_information_score: 51202.6038, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8415, predictive_accuracy: 0.8201, prior_entropy: 2.4836, recall: 0.8201, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6529, scimark_benchmark: 947.1781, usercpu_time_millis: 6850, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 6510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.915, kappa: 0.8976, kb_relative_information_score: 55532.8134, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9152, predictive_accuracy: 0.9173, prior_entropy: 2.4836, recall: 0.9173, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002, scimark_benchmark: 943.1009, usercpu_time_millis: 4210, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8439, kappa: 0.8105, kb_relative_information_score: 51300.1283, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8428, predictive_accuracy: 0.8471, prior_entropy: 2.4836, recall: 0.8471, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.5643, scimark_benchmark: 819.5729, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8969, kappa: 0.8751, kb_relative_information_score: 56338.5547, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8963, predictive_accuracy: 0.8991, prior_entropy: 2.4836, recall: 0.8991, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4992, scimark_benchmark: 943.6618, usercpu_time_millis: 16290, usercpu_time_millis_testing: 10410, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8969, kappa: 0.8751, kb_relative_information_score: 56338.5547, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8963, predictive_accuracy: 0.8991, prior_entropy: 2.4836, recall: 0.8991, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4992, scimark_benchmark: 930.404, usercpu_time_millis: 8070, usercpu_time_millis_testing: 3930, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8275, kappa: 0.7803, kb_relative_information_score: 51226.4816, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8417, predictive_accuracy: 0.8205, prior_entropy: 2.4836, recall: 0.8205, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6527, scimark_benchmark: 938.1282, usercpu_time_millis: 260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 930.404, usercpu_time_millis: 500, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 938.1282, usercpu_time_millis: 550, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 938.1282, usercpu_time_millis: 540, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 941.4991, usercpu_time_millis: 490, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8901, kappa: 0.8672, kb_relative_information_score: 54297.9043, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8899, predictive_accuracy: 0.8929, prior_entropy: 2.4836, recall: 0.8929, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4405, scimark_benchmark: 941.4991, usercpu_time_millis: 1570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 945.6228, usercpu_time_millis: 460, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8272, kappa: 0.7798, kb_relative_information_score: 51202.6038, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8415, predictive_accuracy: 0.8201, prior_entropy: 2.4836, recall: 0.8201, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6529, scimark_benchmark: 935.5664, usercpu_time_millis: 6380, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 6010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.915, kappa: 0.8976, kb_relative_information_score: 55532.8134, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9152, predictive_accuracy: 0.9173, prior_entropy: 2.4836, recall: 0.9173, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002, scimark_benchmark: 945.6228, usercpu_time_millis: 4080, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9185, kappa: 0.902, kb_relative_information_score: 56024.3589, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9191, predictive_accuracy: 0.9209, prior_entropy: 2.4836, recall: 0.9209, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3895, scimark_benchmark: 901.6243, usercpu_time_millis: 219660, usercpu_time_millis_testing: 52010, usercpu_time_millis_training: 167650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9164, kappa: 0.8994, kb_relative_information_score: 55993.3671, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9169, predictive_accuracy: 0.9188, prior_entropy: 2.4836, recall: 0.9188, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3913, scimark_benchmark: 935.2002, usercpu_time_millis: 105810, usercpu_time_millis_testing: 29040, usercpu_time_millis_training: 76770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9155, kappa: 0.8982, kb_relative_information_score: 55949.535, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9159, predictive_accuracy: 0.9178, prior_entropy: 2.4836, recall: 0.9178, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3942, scimark_benchmark: 939.7883, usercpu_time_millis: 57060, usercpu_time_millis_testing: 10110, usercpu_time_millis_training: 46950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9133, kappa: 0.8954, kb_relative_information_score: 55865.8404, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9135, predictive_accuracy: 0.9156, prior_entropy: 2.4836, recall: 0.9156, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3993, scimark_benchmark: 930.0399, usercpu_time_millis: 23020, usercpu_time_millis_testing: 3110, usercpu_time_millis_training: 19910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9066, kappa: 0.8873, kb_relative_information_score: 55754.4434, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9065, predictive_accuracy: 0.909, prior_entropy: 2.4836, recall: 0.909, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4095, scimark_benchmark: 889.4922, usercpu_time_millis: 12450, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 11240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8334, kappa: 0.7962, kb_relative_information_score: 50238.4965, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8326, predictive_accuracy: 0.8354, prior_entropy: 2.4836, recall: 0.8354, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.5461, scimark_benchmark: 929.0296, usercpu_time_millis: 740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.2904, kappa: 0.2695, kb_relative_information_score: 17338.4494, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.2283, predictive_accuracy: 0.4377, prior_entropy: 2.4836, recall: 0.4377, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.2904, kappa: 0.2695, kb_relative_information_score: 17338.4494, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.2283, predictive_accuracy: 0.4377, prior_entropy: 2.4836, recall: 0.4377, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.2904, kappa: 0.2695, kb_relative_information_score: 17338.4494, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.2283, predictive_accuracy: 0.4377, prior_entropy: 2.4836, recall: 0.4377, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.2904, kappa: 0.2695, kb_relative_information_score: 17338.4494, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.2283, predictive_accuracy: 0.4377, prior_entropy: 2.4836, recall: 0.4377, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0916, kb_relative_information_score: 7236.3469, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.0567, predictive_accuracy: 0.2381, prior_entropy: 2.4836, recall: 0.2381, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.504, root_relative_squared_error: 1.3713, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8901, kappa: 0.8672, kb_relative_information_score: 54297.9043, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8899, predictive_accuracy: 0.8929, prior_entropy: 2.4836, recall: 0.8929, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4405, scimark_benchmark: 1349.1517, usercpu_time_millis: 1760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8275, kappa: 0.7803, kb_relative_information_score: 51226.4816, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8417, predictive_accuracy: 0.8205, prior_entropy: 2.4836, recall: 0.8205, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6527, scimark_benchmark: 930.5999, usercpu_time_millis: 260, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 930.5999, usercpu_time_millis: 470, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8439, kappa: 0.8105, kb_relative_information_score: 51300.1283, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8428, predictive_accuracy: 0.8471, prior_entropy: 2.4836, recall: 0.8471, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.5643, scimark_benchmark: 1313.8988, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8272, kappa: 0.7798, kb_relative_information_score: 51202.6038, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8415, predictive_accuracy: 0.8201, prior_entropy: 2.4836, recall: 0.8201, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6529, scimark_benchmark: 1375.1578, usercpu_time_millis: 10110, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.915, kappa: 0.8976, kb_relative_information_score: 55532.8134, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9152, predictive_accuracy: 0.9173, prior_entropy: 2.4836, recall: 0.9173, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002, scimark_benchmark: 1347.6543, usercpu_time_millis: 4340, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 3500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8969, kappa: 0.8751, kb_relative_information_score: 56338.5547, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8963, predictive_accuracy: 0.8991, prior_entropy: 2.4836, recall: 0.8991, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4992, scimark_benchmark: 1342.8584, usercpu_time_millis: 23010, usercpu_time_millis_testing: 16020, usercpu_time_millis_training: 6990,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8272, kappa: 0.7798, kb_relative_information_score: 51202.6038, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8415, predictive_accuracy: 0.8201, prior_entropy: 2.4836, recall: 0.8201, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6529, scimark_benchmark: 1306.5596, usercpu_time_millis: 11960, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 10880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.915, kappa: 0.8976, kb_relative_information_score: 55532.8134, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.9152, predictive_accuracy: 0.9173, prior_entropy: 2.4836, recall: 0.9173, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002, scimark_benchmark: 1354.5533, usercpu_time_millis: 3640, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7991, kappa: 0.7865, kb_relative_information_score: 49906.1845, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8116, predictive_accuracy: 0.8299, prior_entropy: 2.4836, recall: 0.8299, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.648, scimark_benchmark: 1319.688, usercpu_time_millis: 3630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.825, kappa: 0.7881, kb_relative_information_score: 48427.5851, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8269, predictive_accuracy: 0.8292, prior_entropy: 2.4836, recall: 0.8292, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.205, root_relative_squared_error: 0.5579, scimark_benchmark: 1331.0047, usercpu_time_millis: 5390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8915, kappa: 0.8639, kb_relative_information_score: 56165.0447, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8951, predictive_accuracy: 0.8895, prior_entropy: 2.4836, recall: 0.8895, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4817, scimark_benchmark: 1343.7262, usercpu_time_millis: 400, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 140,
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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