OpenML
Supervised Classification on oh0.wc

Supervised Classification on oh0.wc

Task 4232 Supervised Classification oh0.wc 93 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8429, kappa: 0.817, kb_relative_information_score: 8096.7665, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8528, predictive_accuracy: 0.8407, prior_entropy: 3.1536, recall: 0.8407, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5556, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7565, kappa: 0.696, kb_relative_information_score: 6212.2407, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8532, predictive_accuracy: 0.7394, prior_entropy: 3.1536, recall: 0.7394, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6484, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8573, kappa: 0.833, kb_relative_information_score: 7951.8657, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8659, predictive_accuracy: 0.8546, prior_entropy: 3.1536, recall: 0.8546, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5119, scimark_benchmark: 974.2014, usercpu_time_millis: 440540, usercpu_time_millis_testing: 160590, usercpu_time_millis_training: 279950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8429, kappa: 0.817, kb_relative_information_score: 8096.7665, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8528, predictive_accuracy: 0.8407, prior_entropy: 3.1536, recall: 0.8407, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5556, scimark_benchmark: 942.2392, usercpu_time_millis: 9920, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 9700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7565, kappa: 0.696, kb_relative_information_score: 6212.2407, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8532, predictive_accuracy: 0.7394, prior_entropy: 3.1536, recall: 0.7394, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6484, scimark_benchmark: 934.695, usercpu_time_millis: 138380, usercpu_time_millis_training: 138380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8645, kappa: 0.8413, kb_relative_information_score: 7966.6023, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8736, predictive_accuracy: 0.8619, prior_entropy: 3.1536, recall: 0.8619, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.502, scimark_benchmark: 932.4744, usercpu_time_millis: 754360, usercpu_time_millis_testing: 270920, usercpu_time_millis_training: 483440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 7.6826, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 938.3115, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 941.9549, usercpu_time_millis: 1550, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 938.3115, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 940.0055, usercpu_time_millis: 1410, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 929.0296, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8203, kappa: 0.7881, kb_relative_information_score: 7477.3432, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.845, predictive_accuracy: 0.8168, prior_entropy: 3.1536, recall: 0.8168, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5605, scimark_benchmark: 940.0055, usercpu_time_millis: 2715560, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2715040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 1029.3582, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582, scimark_benchmark: 922.8232, usercpu_time_millis: 300, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8249, kappa: 0.7921, kb_relative_information_score: 7356.3486, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8511, predictive_accuracy: 0.82, prior_entropy: 3.1536, recall: 0.82, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5537, scimark_benchmark: 906.0884, usercpu_time_millis: 312900, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 312690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.2555, kappa: 0.2124, kb_relative_information_score: 1949.8035, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.4821, predictive_accuracy: 0.356, prior_entropy: 3.1536, recall: 0.356, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9093, scimark_benchmark: 943.4741, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8429, kappa: 0.817, kb_relative_information_score: 8096.7665, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8528, predictive_accuracy: 0.8407, prior_entropy: 3.1536, recall: 0.8407, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5556, scimark_benchmark: 907.1091, usercpu_time_millis: 9640, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 9420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7565, kappa: 0.696, kb_relative_information_score: 6212.2407, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8532, predictive_accuracy: 0.7394, prior_entropy: 3.1536, recall: 0.7394, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6484, scimark_benchmark: 934.1885, usercpu_time_millis: 130410, usercpu_time_millis_training: 130410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.6574, kappa: 0.6116, kb_relative_information_score: 6178.1809, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.6567, predictive_accuracy: 0.661, prior_entropy: 3.1536, recall: 0.661, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.8506, scimark_benchmark: 942.8346, usercpu_time_millis: 2771310, usercpu_time_millis_testing: 258740, usercpu_time_millis_training: 2512570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8429, kappa: 0.817, kb_relative_information_score: 8096.7665, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8528, predictive_accuracy: 0.8407, prior_entropy: 3.1536, recall: 0.8407, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5556, scimark_benchmark: 936.4883, usercpu_time_millis: 10370, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 10140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8932, kappa: 0.8753, kb_relative_information_score: 8828.6379, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.9006, predictive_accuracy: 0.8915, prior_entropy: 3.1536, recall: 0.8915, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.136, root_relative_squared_error: 0.4599, scimark_benchmark: 1333.6736, usercpu_time_millis: 3066040, usercpu_time_millis_training: 3066040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8932, kappa: 0.8753, kb_relative_information_score: 8828.6379, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.9006, predictive_accuracy: 0.8915, prior_entropy: 3.1536, recall: 0.8915, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.136, root_relative_squared_error: 0.4599, scimark_benchmark: 1292.514, usercpu_time_millis: 2446570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2446560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8932, kappa: 0.8753, kb_relative_information_score: 8828.6379, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.9006, predictive_accuracy: 0.8915, prior_entropy: 3.1536, recall: 0.8915, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.136, root_relative_squared_error: 0.4599, scimark_benchmark: 1300.4857, usercpu_time_millis: 2437300, usercpu_time_millis_training: 2437300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8429, kappa: 0.817, kb_relative_information_score: 8096.7665, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8528, predictive_accuracy: 0.8407, prior_entropy: 3.1536, recall: 0.8407, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5556, scimark_benchmark: 1343.7262, usercpu_time_millis: 6740, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8573, kappa: 0.8328, kb_relative_information_score: 8277.3349, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8668, predictive_accuracy: 0.8545, prior_entropy: 3.1536, recall: 0.8545, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.5036, scimark_benchmark: 1306.5596, usercpu_time_millis: 312490, usercpu_time_millis_testing: 19010, usercpu_time_millis_training: 293480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7565, kappa: 0.696, kb_relative_information_score: 6212.2407, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8532, predictive_accuracy: 0.7394, prior_entropy: 3.1536, recall: 0.7394, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6484, scimark_benchmark: 1342.6744, usercpu_time_millis: 94890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 94880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.546, kappa: 0.508, kb_relative_information_score: 5628.0728, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.7949, predictive_accuracy: 0.5495, prior_entropy: 3.1536, recall: 0.5495, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0146, scimark_benchmark: 1328.1545, usercpu_time_millis: 26330, usercpu_time_millis_testing: 11230, usercpu_time_millis_training: 15100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 2015.3515, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9075, scimark_benchmark: 1345.842, usercpu_time_millis: 1318290, usercpu_time_millis_testing: 1318290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8924, kappa: 0.877, kb_relative_information_score: 8785.3661, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.894, predictive_accuracy: 0.8928, prior_entropy: 3.1536, recall: 0.8928, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4951, scimark_benchmark: 1301.1661, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.2878, kappa: 0.182, kb_relative_information_score: 2492.5845, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.637, predictive_accuracy: 0.3199, prior_entropy: 3.1536, recall: 0.3199, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.2011, scimark_benchmark: 1319.3406, usercpu_time_millis: 1228540, usercpu_time_millis_testing: 1228540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8909, kappa: 0.8726, kb_relative_information_score: 8789.3638, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8992, predictive_accuracy: 0.8891, prior_entropy: 3.1536, recall: 0.8891, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4476, scimark_benchmark: 1341.2341, usercpu_time_millis: 1486100, usercpu_time_millis_training: 1486100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.869, kappa: 0.8453, kb_relative_information_score: 7053.1196, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8878, predictive_accuracy: 0.8658, prior_entropy: 3.1536, recall: 0.8658, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5596, scimark_benchmark: 1371.9645, usercpu_time_millis: 470150, usercpu_time_millis_testing: 8360, usercpu_time_millis_training: 461790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8658, kappa: 0.8418, kb_relative_information_score: 7027.5422, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.885, predictive_accuracy: 0.8628, prior_entropy: 3.1536, recall: 0.8628, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5633, scimark_benchmark: 889.3151, usercpu_time_millis: 236160, usercpu_time_millis_testing: 4350, usercpu_time_millis_training: 231810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1349.9917, usercpu_time_millis: 1250, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.5435, kappa: 0.4772, kb_relative_information_score: 4973.6894, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.5452, predictive_accuracy: 0.5451, prior_entropy: 3.1536, recall: 0.5451, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.02, scimark_benchmark: 1349.9917, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.2557, kappa: 0.2106, kb_relative_information_score: 1297.8854, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2246, predictive_accuracy: 0.3495, prior_entropy: 3.1536, recall: 0.3495, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9545, scimark_benchmark: 1331.2332, usercpu_time_millis: 881130, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 880900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8427, kappa: 0.8174, kb_relative_information_score: 8263.6275, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8563, predictive_accuracy: 0.8415, prior_entropy: 3.1536, recall: 0.8415, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.5202, scimark_benchmark: 1335.5424, usercpu_time_millis: 356050, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 356020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1297.6356, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 939.5088, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 882.7843, usercpu_time_millis: 1440, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1318.1432, usercpu_time_millis: 1360, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 1949.9097, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1363.454, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.1646, kappa: 0.0706, kb_relative_information_score: 1743.4104, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.5115, predictive_accuracy: 0.239, prior_entropy: 3.1536, recall: 0.239, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0543, scimark_benchmark: 1372.2145, usercpu_time_millis: 2840, usercpu_time_millis_testing: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.2017, kappa: 0.1046, kb_relative_information_score: 1779.5102, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.3724, predictive_accuracy: 0.2624, prior_entropy: 3.1536, recall: 0.2624, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.0935, scimark_benchmark: 882.7843, usercpu_time_millis: 3130, usercpu_time_millis_testing: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.3903, kappa: 0.345, kb_relative_information_score: 1097.2292, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.6374, predictive_accuracy: 0.4612, prior_entropy: 3.1536, recall: 0.4612, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9766, scimark_benchmark: 1034.1273, usercpu_time_millis: 12040, usercpu_time_millis_testing: 10340, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8137, kappa: 0.7874, kb_relative_information_score: 2366.4089, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8203, predictive_accuracy: 0.8157, prior_entropy: 3.1536, recall: 0.8157, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.932, scimark_benchmark: 889.3151, usercpu_time_millis: 2330, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8749, kappa: 0.854, kb_relative_information_score: 8616.0171, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8826, predictive_accuracy: 0.873, prior_entropy: 3.1536, recall: 0.873, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4774, scimark_benchmark: 1250.8301, usercpu_time_millis: 168040, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 167060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8924, kappa: 0.877, kb_relative_information_score: 8785.3661, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.894, predictive_accuracy: 0.8928, prior_entropy: 3.1536, recall: 0.8928, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4951, scimark_benchmark: 938.343, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8414, kappa: 0.8226, kb_relative_information_score: 5451.4707, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8681, predictive_accuracy: 0.847, prior_entropy: 3.1536, recall: 0.847, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.7133, scimark_benchmark: 1368.9272, usercpu_time_millis: 11520, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 11060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.4418, kappa: 0.3625, kb_relative_information_score: 3899.607, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.4408, predictive_accuracy: 0.444, prior_entropy: 3.1536, recall: 0.444, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.1277, scimark_benchmark: 1280.6952, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.7826, kappa: 0.7427, kb_relative_information_score: 7211.5778, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.814, predictive_accuracy: 0.7771, prior_entropy: 3.1536, recall: 0.7771, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.6074, scimark_benchmark: 1307.3269, usercpu_time_millis: 11730, usercpu_time_millis_training: 11730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8371, kappa: 0.8057, kb_relative_information_score: 7788.4772, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.863, predictive_accuracy: 0.8316, prior_entropy: 3.1536, recall: 0.8316, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.545, scimark_benchmark: 1304.9611, usercpu_time_millis: 86050, usercpu_time_millis_training: 86050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7382, kappa: 0.7028, kb_relative_information_score: 7067.6846, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.7854, predictive_accuracy: 0.744, prior_entropy: 3.1536, recall: 0.744, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.7652, scimark_benchmark: 1355.7054, usercpu_time_millis: 129980, usercpu_time_millis_testing: 70180, usercpu_time_millis_training: 59800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.7994, kappa: 0.7682, kb_relative_information_score: 7798.2533, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.804, predictive_accuracy: 0.7978, prior_entropy: 3.1536, recall: 0.7978, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6554, scimark_benchmark: 1330.0803, usercpu_time_millis: 109530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 109520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.6939, kappa: 0.6353, kb_relative_information_score: 6459.9285, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.7337, predictive_accuracy: 0.6858, prior_entropy: 3.1536, recall: 0.6858, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8476, scimark_benchmark: 1330.0803, usercpu_time_millis: 2065920, usercpu_time_millis_training: 2065920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 2418.9524, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.2184, scimark_benchmark: 1466.6185, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 7.6826, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8156, kappa: 0.7845, kb_relative_information_score: 7908.9827, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8249, predictive_accuracy: 0.8125, prior_entropy: 3.1536, recall: 0.8125, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6134, scimark_benchmark: 1351.788, usercpu_time_millis: 26040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 26020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 446.5164, build_memory: 1959447030.991, f_measure: 0.8525, kappa: 0.8207, kb_relative_information_score: 8158.4964, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1749, number_of_instances: 10030, precision: 0.8843, predictive_accuracy: 0.8447, prior_entropy: 3.1536, recall: 0.8447, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5093, scimark_benchmark: 935.9128,

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