Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 336 Supervised Classification electricity 233 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8448, kappa: 0.6824, kb_relative_information_score: 8384.9655, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8453, predictive_accuracy: 0.8455, prior_entropy: 0.9835, recall: 0.8455, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7063, scimark_benchmark: 911.8675,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction count does not match: Repeat 0 fold 0 sample 0 expected predictions with row id's [10, 12, 15, 16, 25, 26, 28, 36, 38, 40, 41, 42, 44, 46, 52, 54, 56, 60, 66, 69, 71, 74, 75, 83, 90, 103, 110, 116, 120, 129, 132, 135, 139, 145, 146, 156, 160, 163, 167, 173, 178, 185, 191, 192, 197, 198, 200, 208, 211, 212, 213, 214, 218, 220, 222, 226, 230, 233, 237, 239, 242, 246, 248, 250, 251, 252, 256, 257, 261, 262, 266, 270, 272, 273, 274, 278, 285, 291, 294, 300, 304, 306, 308, 315, 317, 324, 328, 330, 334, 336, 341, 345, 347, 349, 350, 351, 352, 355, 359, 367, 368, 372, 380, 382, 383, 385, 389, 393, 394, 396, 398, 400, 401, 403, 405, 406, 408, 409, 414, 416, 417, 418, 421, 423, 424, 430, 431, 434, 441, 444, 455, 456, 459, 460, 461, 464, 468, 470, 473, 476, 480, 481, 485, 491, 492, 493, 494, 500, 501, 504, 509, 510, 516, 518, 521, 523, 528, 531, 533, 536, 538, 545, 546, 553, 559, 561, 574, 580, 581, 589, 590, 591, 594, 596, 598, 599, 602, 606, 607, 608, 612, 615, ... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 1.729, build_memory: 1009609192, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 934.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 2.66, build_memory: 1312060256, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 948.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 1.906, build_memory: 587501440, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 927.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 2.681, build_memory: 1741210096, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 922.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 2.106, build_memory: 480424512, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 917.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 32.875, build_memory: 606450328, f_measure: 0.9124, kappa: 0.8211, kb_relative_information_score: 10917.7552, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.9835, recall: 0.9125, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5135, scimark_benchmark: 943.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9158, kappa: 0.828, kb_relative_information_score: 10947.4102, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 0.9835, recall: 0.9159, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, build_cpu_time: 131.267, build_memory: 285637080, f_measure: 0.9176, kappa: 0.8316, kb_relative_information_score: 10952.0843, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9176, predictive_accuracy: 0.9177, prior_entropy: 0.9835, recall: 0.9177, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5038, scimark_benchmark: 945.4255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, build_cpu_time: 134.143, build_memory: 931493800, f_measure: 0.9176, kappa: 0.8316, kb_relative_information_score: 10952.0843, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9176, predictive_accuracy: 0.9177, prior_entropy: 0.9835, recall: 0.9177, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5038, scimark_benchmark: 932.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 258.588, build_memory: 595415856, f_measure: 0.9168, kappa: 0.83, kb_relative_information_score: 10953.2512, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9168, predictive_accuracy: 0.9169, prior_entropy: 0.9835, recall: 0.9169, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5026, scimark_benchmark: 948.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 261.537, build_memory: 648082296, f_measure: 0.9168, kappa: 0.83, kb_relative_information_score: 10953.2512, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9168, predictive_accuracy: 0.9169, prior_entropy: 0.9835, recall: 0.9169, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5026, scimark_benchmark: 941.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, build_cpu_time: 24127.117, build_memory: 904216128, f_measure: 0.8777, kappa: 0.7492, kb_relative_information_score: 8894.1702, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8807, predictive_accuracy: 0.8788, prior_entropy: 0.9835, recall: 0.8788, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6118, scimark_benchmark: 778.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 10945.973, build_memory: 3054680744, f_measure: 0.8753, kappa: 0.7444, kb_relative_information_score: 8872.9192, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8786, predictive_accuracy: 0.8765, prior_entropy: 0.9835, recall: 0.8765, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6142, scimark_benchmark: 944.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, build_cpu_time: 24.274, build_memory: 76369416, f_measure: 0.7975, kappa: 0.5853, kb_relative_information_score: 8648.7265, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7977, predictive_accuracy: 0.7984, prior_entropy: 0.9835, recall: 0.7984, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8566, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 40.092, build_memory: 172181152, f_measure: 0.8104, kappa: 0.6119, kb_relative_information_score: 8925.8963, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8107, predictive_accuracy: 0.8113, prior_entropy: 0.9835, recall: 0.8113, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8186, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, build_cpu_time: 39.991, build_memory: 115825184, f_measure: 0.8104, kappa: 0.6119, kb_relative_information_score: 8925.8963, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8107, predictive_accuracy: 0.8113, prior_entropy: 0.9835, recall: 0.8113, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8186, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 74.979, build_memory: 485260320, f_measure: 0.8054, kappa: 0.6013, kb_relative_information_score: 9016.844, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8063, predictive_accuracy: 0.8067, prior_entropy: 0.9835, recall: 0.8067, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8247, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 79.742, build_memory: 1235227136, f_measure: 0.8054, kappa: 0.6013, kb_relative_information_score: 9016.844, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8063, predictive_accuracy: 0.8067, prior_entropy: 0.9835, recall: 0.8067, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8247, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, build_cpu_time: 141.099, build_memory: 1123283664, f_measure: 0.8184, kappa: 0.6279, kb_relative_information_score: 9241.8812, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8191, predictive_accuracy: 0.8194, prior_entropy: 0.9835, recall: 0.8194, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7986, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, build_cpu_time: 149.245, build_memory: 1023431528, f_measure: 0.8184, kappa: 0.6279, kb_relative_information_score: 9241.8812, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8191, predictive_accuracy: 0.8194, prior_entropy: 0.9835, recall: 0.8194, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7986, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 329.96, build_memory: 557147824, f_measure: 0.8199, kappa: 0.6314, kb_relative_information_score: 9430.8308, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8202, predictive_accuracy: 0.8207, prior_entropy: 0.9835, recall: 0.8207, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7885, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 9452.049, build_memory: 2064094168, f_measure: 0.9227, kappa: 0.8421, kb_relative_information_score: 11156.3281, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9227, predictive_accuracy: 0.9228, prior_entropy: 0.9835, recall: 0.9228, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4891, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, build_cpu_time: 4526.919, build_memory: 3726459680, f_measure: 0.9233, kappa: 0.8433, kb_relative_information_score: 11155.9294, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9233, predictive_accuracy: 0.9234, prior_entropy: 0.9835, recall: 0.9234, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4898, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 2234.307, build_memory: 1729543424, f_measure: 0.9206, kappa: 0.8378, kb_relative_information_score: 11156.0212, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9205, predictive_accuracy: 0.9206, prior_entropy: 0.9835, recall: 0.9206, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4927, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 1234.741, build_memory: 258925392, f_measure: 0.9196, kappa: 0.8359, kb_relative_information_score: 11139.0396, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9196, predictive_accuracy: 0.9197, prior_entropy: 0.9835, recall: 0.9197, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4986, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8893, kappa: 0.7738, kb_relative_information_score: 10916.3262, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8894, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6281, scimark_benchmark: 977.6382, usercpu_time_millis: 3030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4149, kb_relative_information_score: 12.107, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.3259, predictive_accuracy: 0.5709, prior_entropy: 0.9835, recall: 0.5709, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7827, kappa: 0.5597, kb_relative_information_score: 8648.1316, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8284, predictive_accuracy: 0.7951, prior_entropy: 0.9835, recall: 0.7951, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9146, scimark_benchmark: 977.6382, usercpu_time_millis: 22830, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 22600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7519, kappa: 0.4912, kb_relative_information_score: 7463.5569, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7583, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9964, scimark_benchmark: 1465.2979, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8377, kappa: 0.6683, kb_relative_information_score: 9197.7736, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8376, predictive_accuracy: 0.8379, prior_entropy: 0.9835, recall: 0.8379, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6653, scimark_benchmark: 1466.6185, usercpu_time_millis: 29260, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 28810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4145, f_measure: 0.3237, kappa: -0.1548, kb_relative_information_score: -4328.4401, mean_absolute_error: 0.6247, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.3739, predictive_accuracy: 0.3753, prior_entropy: 0.9835, recall: 0.3753, relative_absolute_error: 1.2768, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.7904, root_relative_squared_error: 1.5969, scimark_benchmark: 1368.9272, usercpu_time_millis: 19130, usercpu_time_millis_testing: 5720, usercpu_time_millis_training: 13410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8839, kappa: 0.7627, kb_relative_information_score: 10763.116, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6445, scimark_benchmark: 1309.3173, usercpu_time_millis: 18860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 18820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8672, kappa: 0.7285, kb_relative_information_score: 9811.4382, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 0.9835, recall: 0.8675, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6593, scimark_benchmark: 1335.4072, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8414, kappa: 0.6758, kb_relative_information_score: 9957.5385, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8413, predictive_accuracy: 0.8417, prior_entropy: 0.9835, recall: 0.8417, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7379, scimark_benchmark: 1332.0036, usercpu_time_millis: 1462160, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 1461260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7952, kappa: 0.5808, kb_relative_information_score: 6030.0148, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9835, recall: 0.796, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7757, scimark_benchmark: 1367.8403, usercpu_time_millis: 10600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8912, kappa: 0.7776, kb_relative_information_score: 10972.3811, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8913, predictive_accuracy: 0.8915, prior_entropy: 0.9835, recall: 0.8915, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6243, scimark_benchmark: 1334.3805, usercpu_time_millis: 6260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7405, kappa: 0.4709, kb_relative_information_score: 4305.7906, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7639, predictive_accuracy: 0.7514, prior_entropy: 0.9835, recall: 0.7514, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8697, scimark_benchmark: 932.0242, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7909, kappa: 0.5717, kb_relative_information_score: 6378.071, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7915, predictive_accuracy: 0.7922, prior_entropy: 0.9835, recall: 0.7922, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7595, scimark_benchmark: 1310.934, usercpu_time_millis: 4120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7822, kappa: 0.5551, kb_relative_information_score: 8253.2734, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.782, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9426, scimark_benchmark: 1342.5243, usercpu_time_millis: 476690, usercpu_time_millis_testing: 476670, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7822, kappa: 0.5551, kb_relative_information_score: 8252.8647, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.782, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9426, scimark_benchmark: 1348.8402, usercpu_time_millis: 152480, usercpu_time_millis_testing: 152470, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.742, kappa: 0.4737, kb_relative_information_score: 4359.0825, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7642, predictive_accuracy: 0.7525, prior_entropy: 0.9835, recall: 0.7525, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8608, scimark_benchmark: 1348.8402, usercpu_time_millis: 5517420, usercpu_time_millis_testing: 5517410, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7533, kappa: 0.4941, kb_relative_information_score: 5278.681, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7601, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8223, scimark_benchmark: 1386.5717, usercpu_time_millis: 2290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.6974, kappa: 0.3802, kb_relative_information_score: 3029.7999, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7066, predictive_accuracy: 0.7059, prior_entropy: 0.9835, recall: 0.7059, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.89, scimark_benchmark: 1413.089, usercpu_time_millis: 650, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7504, kappa: 0.4892, kb_relative_information_score: 7506.9706, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7651, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9935, scimark_benchmark: 1413.089, usercpu_time_millis: 7330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7224, kappa: 0.4386, kb_relative_information_score: 5848.1302, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7632, predictive_accuracy: 0.7393, prior_entropy: 0.9835, recall: 0.7393, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8935, scimark_benchmark: 922.1419, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7228, kappa: 0.4393, kb_relative_information_score: 5849.0174, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7635, predictive_accuracy: 0.7396, prior_entropy: 0.9835, recall: 0.7396, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8934, scimark_benchmark: 1339.944, usercpu_time_millis: 340, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8146, kappa: 0.6206, kb_relative_information_score: 7675.4902, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8148, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7452, scimark_benchmark: 1386.5717, usercpu_time_millis: 680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7895, kappa: 0.5683, kb_relative_information_score: 7217.7743, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9835, recall: 0.7913, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8083, scimark_benchmark: 1384.8417, usercpu_time_millis: 4780, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 1144.961, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7345, kappa: 0.4578, kb_relative_information_score: 7083.1699, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7533, predictive_accuracy: 0.7444, prior_entropy: 0.9835, recall: 0.7444, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0213, scimark_benchmark: 1340.9497, usercpu_time_millis: 649990, usercpu_time_millis_testing: 299880, usercpu_time_millis_training: 350110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8937, kappa: 0.7826, kb_relative_information_score: 10017.9534, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9835, recall: 0.894, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5688, scimark_benchmark: 1262.9237, usercpu_time_millis: 10040, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 9850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.894, kappa: 0.7831, kb_relative_information_score: 10013.0252, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8942, predictive_accuracy: 0.8943, prior_entropy: 0.9835, recall: 0.8943, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5628, scimark_benchmark: 1311.1837, usercpu_time_millis: 10440, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 10170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8799, kappa: 0.7539, kb_relative_information_score: 7172.5934, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8825, predictive_accuracy: 0.881, prior_entropy: 0.9835, recall: 0.881, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6627, scimark_benchmark: 1360.2771, usercpu_time_millis: 25680, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 22730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8124, kappa: 0.6154, kb_relative_information_score: 9229.0487, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8139, predictive_accuracy: 0.8139, prior_entropy: 0.9835, recall: 0.8139, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8716, scimark_benchmark: 1339.4964, usercpu_time_millis: 411770, usercpu_time_millis_testing: 4650, usercpu_time_millis_training: 407120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8601, kappa: 0.7137, kb_relative_information_score: 9083.8086, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8604, predictive_accuracy: 0.8606, prior_entropy: 0.9835, recall: 0.8606, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6418, scimark_benchmark: 950.6776, usercpu_time_millis: 6978300, usercpu_time_millis_testing: 6978300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7479, kappa: 0.4834, kb_relative_information_score: 7389.1333, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7582, predictive_accuracy: 0.7543, prior_entropy: 0.9835, recall: 0.7543, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0013, scimark_benchmark: 934.4732, usercpu_time_millis: 1750, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8146, kappa: 0.6206, kb_relative_information_score: 7675.4902, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8148, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7452, scimark_benchmark: 935.5075, usercpu_time_millis: 840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8146, kappa: 0.6206, kb_relative_information_score: 7675.4902, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8148, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7452, scimark_benchmark: 904.3681, usercpu_time_millis: 360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7895, kappa: 0.5683, kb_relative_information_score: 7217.7743, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9835, recall: 0.7913, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8083, scimark_benchmark: 1371.9645, usercpu_time_millis: 7070, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8117, kappa: 0.6144, kb_relative_information_score: 7568.8186, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.812, predictive_accuracy: 0.8125, prior_entropy: 0.9835, recall: 0.8125, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7241, scimark_benchmark: 854.5188, usercpu_time_millis: 690, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.827, kappa: 0.6455, kb_relative_information_score: 7460.8102, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8279, predictive_accuracy: 0.8281, prior_entropy: 0.9835, recall: 0.8281, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7154, scimark_benchmark: 1352.2099, usercpu_time_millis: 10430, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8146, kappa: 0.6206, kb_relative_information_score: 7675.4902, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8148, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7452, scimark_benchmark: 1314.9535, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,

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