Task
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 1784 Supervised Classification mfeat-pixel 282 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7557, kappa: 0.729, kb_relative_information_score: 7471.7115, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7575, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8189, kappa: 0.7992, kb_relative_information_score: 7648.6589, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8201, predictive_accuracy: 0.8193, prior_entropy: 3.3219, recall: 0.8193, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5498, scimark_benchmark: 851.2074, usercpu_time_millis: 49050, usercpu_time_millis_training: 49050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 941.6675, usercpu_time_millis: 10920, usercpu_time_millis_testing: 9760, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 941.6675, usercpu_time_millis: 11010, usercpu_time_millis_testing: 9770, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 941.6675, usercpu_time_millis: 9880, usercpu_time_millis_testing: 8770, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8224, kappa: 0.8032, kb_relative_information_score: 7382.1443, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8225, predictive_accuracy: 0.8229, prior_entropy: 3.3219, recall: 0.8229, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666, scimark_benchmark: 941.6675, usercpu_time_millis: 1610, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.9482, kb_relative_information_score: 7243.0901, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 3.3219, recall: 0.9534, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5405, scimark_benchmark: 931.771, usercpu_time_millis: 1020, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 941.3847, usercpu_time_millis: 39160, usercpu_time_millis_testing: 20910, usercpu_time_millis_training: 18250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9324, kappa: 0.9248, kb_relative_information_score: 9311.0909, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9333, predictive_accuracy: 0.9323, prior_entropy: 3.3219, recall: 0.9323, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781, scimark_benchmark: 932.438, usercpu_time_millis: 340, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7254, kappa: 0.6968, kb_relative_information_score: 7159.3658, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7247, predictive_accuracy: 0.7271, prior_entropy: 3.3219, recall: 0.7271, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7719, scimark_benchmark: 947.1781, usercpu_time_millis: 1805200, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 1803410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.9482, kb_relative_information_score: 7243.0901, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 3.3219, recall: 0.9534, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5405, scimark_benchmark: 943.1009, usercpu_time_millis: 970, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7557, kappa: 0.729, kb_relative_information_score: 7471.7115, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7575, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, scimark_benchmark: 819.5729, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8189, kappa: 0.7992, kb_relative_information_score: 7648.6589, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8201, predictive_accuracy: 0.8193, prior_entropy: 3.3219, recall: 0.8193, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5498, scimark_benchmark: 608.4057, usercpu_time_millis: 71150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 71140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 927.2882, usercpu_time_millis: 40860, usercpu_time_millis_testing: 23170, usercpu_time_millis_training: 17690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9324, kappa: 0.9248, kb_relative_information_score: 9311.0909, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9333, predictive_accuracy: 0.9323, prior_entropy: 3.3219, recall: 0.9323, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781, scimark_benchmark: 938.1282, usercpu_time_millis: 350, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 930.404, usercpu_time_millis: 9450, usercpu_time_millis_testing: 8270, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 933.3455, usercpu_time_millis: 8930, usercpu_time_millis_testing: 7800, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8224, kappa: 0.8032, kb_relative_information_score: 7382.1443, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8225, predictive_accuracy: 0.8229, prior_entropy: 3.3219, recall: 0.8229, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666, scimark_benchmark: 941.4991, usercpu_time_millis: 1720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 932.438, usercpu_time_millis: 9390, usercpu_time_millis_testing: 8190, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7254, kappa: 0.6968, kb_relative_information_score: 7159.3658, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7247, predictive_accuracy: 0.7271, prior_entropy: 3.3219, recall: 0.7271, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7719, scimark_benchmark: 926.5462, usercpu_time_millis: 1878370, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 1876460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.9482, kb_relative_information_score: 7243.0901, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 3.3219, recall: 0.9534, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5405, scimark_benchmark: 936.9595, usercpu_time_millis: 1040, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9638, kappa: 0.9598, kb_relative_information_score: 8818.2911, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 3.3219, recall: 0.9638, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3361, scimark_benchmark: 938.988, usercpu_time_millis: 3657020, usercpu_time_millis_testing: 1268330, usercpu_time_millis_training: 2388690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9628, kappa: 0.9587, kb_relative_information_score: 8815.7638, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 3.3219, recall: 0.9628, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3385, scimark_benchmark: 936.3213, usercpu_time_millis: 1747460, usercpu_time_millis_testing: 664130, usercpu_time_millis_training: 1083330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9623, kappa: 0.9581, kb_relative_information_score: 8812.7432, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9625, predictive_accuracy: 0.9623, prior_entropy: 3.3219, recall: 0.9623, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3423, scimark_benchmark: 941.589, usercpu_time_millis: 876680, usercpu_time_millis_testing: 321300, usercpu_time_millis_training: 555380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9583, kappa: 0.9537, kb_relative_information_score: 8787.1894, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9586, predictive_accuracy: 0.9583, prior_entropy: 3.3219, recall: 0.9583, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3535, scimark_benchmark: 935.0213, usercpu_time_millis: 454710, usercpu_time_millis_testing: 160890, usercpu_time_millis_training: 293820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9468, kappa: 0.9409, kb_relative_information_score: 8759.6605, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 3.3219, recall: 0.9468, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3722, scimark_benchmark: 936.7184, usercpu_time_millis: 221990, usercpu_time_millis_testing: 73400, usercpu_time_millis_training: 148590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.1012, kappa: 0.1046, kb_relative_information_score: 2220.1304, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0793, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.963, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.1012, kappa: 0.1046, kb_relative_information_score: 2220.1304, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0793, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.963, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.1012, kappa: 0.1046, kb_relative_information_score: 2220.1304, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0793, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.963, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.1012, kappa: 0.1046, kb_relative_information_score: 2220.1304, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0793, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.963, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.1012, kappa: 0.1046, kb_relative_information_score: 2220.1304, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0793, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.963, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8996, kb_relative_information_score: 8017.6192, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.91, predictive_accuracy: 0.9096, prior_entropy: 3.3219, recall: 0.9096, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4673, scimark_benchmark: 926.5859, usercpu_time_millis: 2610, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.3474, kappa: 0.326, kb_relative_information_score: 2162.693, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.4253, predictive_accuracy: 0.3934, prior_entropy: 3.3219, recall: 0.3934, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9465, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1345.6844, usercpu_time_millis: 7640, usercpu_time_millis_testing: 6870, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1374.9737, usercpu_time_millis: 8520, usercpu_time_millis_testing: 7490, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8224, kappa: 0.8032, kb_relative_information_score: 7382.1443, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8225, predictive_accuracy: 0.8229, prior_entropy: 3.3219, recall: 0.8229, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666, scimark_benchmark: 1317.5857, usercpu_time_millis: 1410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1332.7986, usercpu_time_millis: 11290, usercpu_time_millis_testing: 10220, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8189, kappa: 0.7992, kb_relative_information_score: 7648.6589, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8201, predictive_accuracy: 0.8193, prior_entropy: 3.3219, recall: 0.8193, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5498, scimark_benchmark: 1337.4384, usercpu_time_millis: 43460, usercpu_time_millis_training: 43460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 1332.0682, usercpu_time_millis: 48530, usercpu_time_millis_testing: 29790, usercpu_time_millis_training: 18740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 1347.7267, usercpu_time_millis: 45770, usercpu_time_millis_testing: 24110, usercpu_time_millis_training: 21660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8224, kappa: 0.8032, kb_relative_information_score: 7382.1443, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8225, predictive_accuracy: 0.8229, prior_entropy: 3.3219, recall: 0.8229, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666, scimark_benchmark: 1299.6719, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1344.3409, usercpu_time_millis: 6870, usercpu_time_millis_testing: 6190, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7557, kappa: 0.729, kb_relative_information_score: 7471.7115, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7575, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, scimark_benchmark: 1325.6322, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.9482, kb_relative_information_score: 7243.0901, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 3.3219, recall: 0.9534, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5405, scimark_benchmark: 1260.1387, usercpu_time_millis: 1140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 1267.3105, usercpu_time_millis: 55200, usercpu_time_millis_testing: 29140, usercpu_time_millis_training: 26060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7254, kappa: 0.6968, kb_relative_information_score: 7159.3658, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7247, predictive_accuracy: 0.7271, prior_entropy: 3.3219, recall: 0.7271, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7719, scimark_benchmark: 1260.1387, usercpu_time_millis: 2177660, usercpu_time_millis_testing: 5960, usercpu_time_millis_training: 2171700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7254, kappa: 0.6968, kb_relative_information_score: 7159.3658, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7247, predictive_accuracy: 0.7271, prior_entropy: 3.3219, recall: 0.7271, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7719, scimark_benchmark: 1281.7531, usercpu_time_millis: 2288940, usercpu_time_millis_testing: 5900, usercpu_time_millis_training: 2283040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.9482, kb_relative_information_score: 7243.0901, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 3.3219, recall: 0.9534, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5405, scimark_benchmark: 1322.7257, usercpu_time_millis: 770, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1314.7093, usercpu_time_millis: 9270, usercpu_time_millis_testing: 8430, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9324, kappa: 0.9248, kb_relative_information_score: 9311.0909, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9333, predictive_accuracy: 0.9323, prior_entropy: 3.3219, recall: 0.9323, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781, scimark_benchmark: 935.5075, usercpu_time_millis: 340, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1288.1375, usercpu_time_millis: 11770, usercpu_time_millis_testing: 10590, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8224, kappa: 0.8032, kb_relative_information_score: 7382.1443, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8225, predictive_accuracy: 0.8229, prior_entropy: 3.3219, recall: 0.8229, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666, scimark_benchmark: 918.0213, usercpu_time_millis: 2230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7557, kappa: 0.729, kb_relative_information_score: 7471.7115, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7575, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, scimark_benchmark: 1371.9645, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 9486.5331, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 3.3219, recall: 0.9509, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 926.6704, usercpu_time_millis: 40140, usercpu_time_millis_testing: 21320, usercpu_time_millis_training: 18820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9324, kappa: 0.9248, kb_relative_information_score: 9311.0909, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9333, predictive_accuracy: 0.9323, prior_entropy: 3.3219, recall: 0.9323, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781, scimark_benchmark: 1315.933, usercpu_time_millis: 340, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 933.1165, usercpu_time_millis: 8880, usercpu_time_millis_testing: 7840, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 933.1165, usercpu_time_millis: 9550, usercpu_time_millis_testing: 8270, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 933.1165, usercpu_time_millis: 10210, usercpu_time_millis_testing: 8820, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 926.6704, usercpu_time_millis: 9400, usercpu_time_millis_testing: 8060, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 9689.0597, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 3.3219, recall: 0.9696, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.2531, scimark_benchmark: 1322.7383, usercpu_time_millis: 7700, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7557, kappa: 0.729, kb_relative_information_score: 7471.7115, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7575, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736, scimark_benchmark: 1339.8573, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9535, kappa: 0.9488, kb_relative_information_score: 9534.9525, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9551, predictive_accuracy: 0.9539, prior_entropy: 3.3219, recall: 0.9539, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3097, scimark_benchmark: 1318.6149, usercpu_time_millis: 200790, usercpu_time_millis_testing: 200790,

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