OpenML
Supervised Classification on new3s.wc

Supervised Classification on new3s.wc

Task 3525 Supervised Classification new3s.wc 49 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.6121, kappa: 0.6021, kb_relative_information_score: 6086.1708, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6538, predictive_accuracy: 0.6148, prior_entropy: 5.2666, recall: 0.6148, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, kappa: 0.0579, kb_relative_information_score: 666.9008, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, predictive_accuracy: 0.1208, prior_entropy: 5.2666, recall: 0.1208, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.6677, kappa: 0.6184, kb_relative_information_score: 5928.6437, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7541, predictive_accuracy: 0.632, prior_entropy: 5.2666, recall: 0.632, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7666, kappa: 0.76, kb_relative_information_score: 7290.9837, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7702, predictive_accuracy: 0.7674, prior_entropy: 5.2666, recall: 0.7674, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.7811, kappa: 0.7665, kb_relative_information_score: 7043.4519, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.8035, predictive_accuracy: 0.7736, prior_entropy: 5.2666, recall: 0.7736, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.7289, kappa: 0.7287, kb_relative_information_score: 6608.7219, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7445, predictive_accuracy: 0.7378, prior_entropy: 5.2666, recall: 0.7378, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7226, kappa: 0.7151, kb_relative_information_score: 6842.8865, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7228, predictive_accuracy: 0.7237, prior_entropy: 5.2666, recall: 0.7237, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7239, kappa: 0.7166, kb_relative_information_score: 6976.602, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7246, predictive_accuracy: 0.7253, prior_entropy: 5.2666, recall: 0.7253, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.7068, scimark_benchmark: 1326.014, usercpu_time_millis: 2052150, usercpu_time_millis_testing: 16630, usercpu_time_millis_training: 2035520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.5461, kappa: 0.5449, kb_relative_information_score: 5317.0658, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.5931, predictive_accuracy: 0.558, prior_entropy: 5.2666, recall: 0.558, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.9519, scimark_benchmark: 1345.1228, usercpu_time_millis: 5978730, usercpu_time_millis_testing: 5392610, usercpu_time_millis_training: 586120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.5555, kappa: 0.5536, kb_relative_information_score: 5396.3357, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6025, predictive_accuracy: 0.5664, prior_entropy: 5.2666, recall: 0.5664, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.14, root_relative_squared_error: 0.943, scimark_benchmark: 1312.5307, usercpu_time_millis: 5442870, usercpu_time_millis_testing: 5198020, usercpu_time_millis_training: 244850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.7853, kappa: 0.79, kb_relative_information_score: 7032.0546, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.8062, predictive_accuracy: 0.7969, prior_entropy: 5.2666, recall: 0.7969, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.6315, scimark_benchmark: 1345.8373, usercpu_time_millis: 13189620, usercpu_time_millis_testing: 123240, usercpu_time_millis_training: 13066380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.778, kappa: 0.7819, kb_relative_information_score: 7008.8684, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7982, predictive_accuracy: 0.7891, prior_entropy: 5.2666, recall: 0.7891, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.6347, scimark_benchmark: 1300.0105, usercpu_time_millis: 6837750, usercpu_time_millis_testing: 67190, usercpu_time_millis_training: 6770560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7988, kappa: 0.7942, kb_relative_information_score: 7606.7265, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.8039, predictive_accuracy: 0.8007, prior_entropy: 5.2666, recall: 0.8007, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.6411, scimark_benchmark: 825.5282, usercpu_time_millis: 6258540, usercpu_time_millis_testing: 23000, usercpu_time_millis_training: 6235540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 1353.1316, usercpu_time_millis: 170050, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7239, kappa: 0.7166, kb_relative_information_score: 6976.602, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7246, predictive_accuracy: 0.7253, prior_entropy: 5.2666, recall: 0.7253, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.7068, scimark_benchmark: 1386.5717, usercpu_time_millis: 2628280, usercpu_time_millis_testing: 17680, usercpu_time_millis_training: 2610600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.289, kappa: 0.283, kb_relative_information_score: 2799.787, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.3659, predictive_accuracy: 0.303, prior_entropy: 5.2666, recall: 0.303, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1772, root_relative_squared_error: 1.1937, scimark_benchmark: 942.6843, usercpu_time_millis: 8187180, usercpu_time_millis_testing: 3885780, usercpu_time_millis_training: 4301400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.6216, kappa: 0.6121, kb_relative_information_score: 1583.4582, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6532, predictive_accuracy: 0.6228, prior_entropy: 5.2666, recall: 0.6228, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.143, root_relative_squared_error: 0.9634, scimark_benchmark: 937.1527, usercpu_time_millis: 1000470, usercpu_time_millis_testing: 743740, usercpu_time_millis_training: 256730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.0099, kb_relative_information_score: 1.962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0053, predictive_accuracy: 0.0728, prior_entropy: 5.2666, recall: 0.0728, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1485, root_relative_squared_error: 1, scimark_benchmark: 912.7324, usercpu_time_millis: 74810, usercpu_time_millis_testing: 74790, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.7444, kappa: 0.7385, kb_relative_information_score: 7115.4539, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7438, predictive_accuracy: 0.7464, prior_entropy: 5.2666, recall: 0.7464, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.7015, scimark_benchmark: 1351.788, usercpu_time_millis: 71466390, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 71464900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 1313.5726, usercpu_time_millis: 325880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 325850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 915.9324, usercpu_time_millis: 259300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 259270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 1372.2145, usercpu_time_millis: 325750, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 325710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 825.5282, usercpu_time_millis: 485150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 485110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 1313.9994, usercpu_time_millis: 350680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.3474, kappa: 0.3252, kb_relative_information_score: 3864.2728, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.5415, predictive_accuracy: 0.3496, prior_entropy: 5.2666, recall: 0.3496, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.9289, scimark_benchmark: 1324.8395, usercpu_time_millis: 1310640, usercpu_time_millis_testing: 1310620, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.3337, kappa: 0.3027, kb_relative_information_score: 3976.4072, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.5401, predictive_accuracy: 0.3279, prior_entropy: 5.2666, recall: 0.3279, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.141, root_relative_squared_error: 0.9495, scimark_benchmark: 889.3151, usercpu_time_millis: 1496420, usercpu_time_millis_testing: 1496410, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.7202, kappa: 0.7103, kb_relative_information_score: 1490.2327, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7422, predictive_accuracy: 0.7199, prior_entropy: 5.2666, recall: 0.7199, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.9861, scimark_benchmark: 912.5006, usercpu_time_millis: 1161520, usercpu_time_millis_testing: 945460, usercpu_time_millis_training: 216060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.0184, kappa: 0.0092, kb_relative_information_score: 157.5441, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6167, predictive_accuracy: 0.0224, prior_entropy: 5.2666, recall: 0.0224, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.2108, root_relative_squared_error: 1.4199, scimark_benchmark: 1335.643, usercpu_time_millis: 20159970, usercpu_time_millis_testing: 3995180, usercpu_time_millis_training: 16164790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8738, kappa: 0.8699, kb_relative_information_score: 8346.3797, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.8743, predictive_accuracy: 0.8738, prior_entropy: 5.2666, recall: 0.8738, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.5101, scimark_benchmark: 942.9708, usercpu_time_millis: 23000, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 22680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5127, kappa: 0.4791, kb_relative_information_score: 4458.4537, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7752, predictive_accuracy: 0.5021, prior_entropy: 5.2666, recall: 0.5021, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1504, root_relative_squared_error: 1.0133, scimark_benchmark: 1325.2092, usercpu_time_millis: 1011530, usercpu_time_millis_testing: 442320, usercpu_time_millis_training: 569210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.706, kappa: 0.7022, kb_relative_information_score: 4910.3709, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7752, predictive_accuracy: 0.7134, prior_entropy: 5.2666, recall: 0.7134, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.8272, scimark_benchmark: 1325.942, usercpu_time_millis: 571150, usercpu_time_millis_testing: 10000, usercpu_time_millis_training: 561150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.6787, kappa: 0.6756, kb_relative_information_score: 6649.2891, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6829, predictive_accuracy: 0.6859, prior_entropy: 5.2666, recall: 0.6859, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.6942, scimark_benchmark: 1335.4072, usercpu_time_millis: 1344330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1344270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.2645, kappa: 0.2435, kb_relative_information_score: 2426.4443, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.2642, predictive_accuracy: 0.2662, prior_entropy: 5.2666, recall: 0.2662, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1826, root_relative_squared_error: 1.2302, scimark_benchmark: 1321.527, usercpu_time_millis: 8950, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.5555, kappa: 0.5536, kb_relative_information_score: 1456.1454, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6025, predictive_accuracy: 0.5664, prior_entropy: 5.2666, recall: 0.5664, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.9816, scimark_benchmark: 934.5243, usercpu_time_millis: 65921340, usercpu_time_millis_testing: 20240320, usercpu_time_millis_training: 45681020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.5555, kappa: 0.5536, kb_relative_information_score: 1456.1454, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6025, predictive_accuracy: 0.5664, prior_entropy: 5.2666, recall: 0.5664, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.9816, scimark_benchmark: 939.7623, usercpu_time_millis: 68250510, usercpu_time_millis_testing: 21095420, usercpu_time_millis_training: 47155090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.5555, kappa: 0.5536, kb_relative_information_score: 1456.1454, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.6025, predictive_accuracy: 0.5664, prior_entropy: 5.2666, recall: 0.5664, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.9816, scimark_benchmark: 938.4278, usercpu_time_millis: 63668340, usercpu_time_millis_testing: 19543860, usercpu_time_millis_training: 44124480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7013, kappa: 0.6938, kb_relative_information_score: 6782.8463, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7021, predictive_accuracy: 0.7033, prior_entropy: 5.2666, recall: 0.7033, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.7386, scimark_benchmark: 1358.4523, usercpu_time_millis: 12069420, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 12067540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.0503, kappa: 0.0646, kb_relative_information_score: 877.677, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0387, predictive_accuracy: 0.1294, prior_entropy: 5.2666, recall: 0.1294, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1989, root_relative_squared_error: 1.3399, scimark_benchmark: 1466.6185, usercpu_time_millis: 136350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 136310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.0099, kb_relative_information_score: 1.962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0053, predictive_accuracy: 0.0728, prior_entropy: 5.2666, recall: 0.0728, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1485, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 940.2922, usercpu_time_millis: 242490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 242450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 926.6717, usercpu_time_millis: 198160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 198120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 945.6434, usercpu_time_millis: 216460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 216420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 939.7623, usercpu_time_millis: 249820, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 249780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.0185, kappa: 0.0486, kb_relative_information_score: 1060.6968, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0105, predictive_accuracy: 0.0904, prior_entropy: 5.2666, recall: 0.0904, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.9915, scimark_benchmark: 939.7623, usercpu_time_millis: 273870, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 273830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.7582, kappa: 0.7509, kb_relative_information_score: 7604.5711, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.7596, predictive_accuracy: 0.7585, prior_entropy: 5.2666, recall: 0.7585, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.6004, scimark_benchmark: 911.0478, usercpu_time_millis: 25194370, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 25192830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.0099, kb_relative_information_score: 1.962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0053, predictive_accuracy: 0.0728, prior_entropy: 5.2666, recall: 0.0728, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1485, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.478, kappa: 0.4683, kb_relative_information_score: 4661.0163, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.5127, predictive_accuracy: 0.4876, prior_entropy: 5.2666, recall: 0.4876, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.8588, scimark_benchmark: 943.2745, usercpu_time_millis: 122460, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 121610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0099, kb_relative_information_score: 433.8181, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0053, predictive_accuracy: 0.0728, prior_entropy: 5.2666, recall: 0.0728, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.2053, root_relative_squared_error: 1.3828, scimark_benchmark: 933.8635, usercpu_time_millis: 25020, usercpu_time_millis_testing: 16520, usercpu_time_millis_training: 8500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.047, kappa: 0.0777, kb_relative_information_score: 1032.0506, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0441, number_of_instances: 9558, precision: 0.0315, predictive_accuracy: 0.125, prior_entropy: 5.2666, recall: 0.125, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.1485, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.989, scimark_benchmark: 947.9494, usercpu_time_millis: 164330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 164270,

    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