OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 4623 Supervised Classification pc1 235 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.9084, kappa: 0.15, kb_relative_information_score: 169.3253, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9053, predictive_accuracy: 0.93, prior_entropy: 0.3667, recall: 0.93, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9888, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9173, kappa: 0.2622, kb_relative_information_score: -13733.3148, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9135, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.1506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805, scimark_benchmark: 972.587, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.9218, kappa: 0.318, kb_relative_information_score: -2874.1862, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.918, predictive_accuracy: 0.9327, prior_entropy: 0.3667, recall: 0.9327, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9169, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.9121, kappa: 0.3291, kb_relative_information_score: -1093.0134, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 0.3667, recall: 0.9109, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.9104, kappa: 0.2449, kb_relative_information_score: -1883.5649, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9043, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.9939, scimark_benchmark: 1260.631, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.9121, kappa: 0.3291, kb_relative_information_score: -1093.0134, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 0.3667, recall: 0.9109, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.9121, kappa: 0.3291, kb_relative_information_score: -1093.0134, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 0.3667, recall: 0.9109, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.8847, kappa: 0.1846, kb_relative_information_score: -4315.4502, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8954, predictive_accuracy: 0.8754, prior_entropy: 0.3667, recall: 0.8754, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3462, root_relative_squared_error: 1.3622, scimark_benchmark: 1241.4565, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.8945, kappa: 0.2173, kb_relative_information_score: -2191.7839, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8991, predictive_accuracy: 0.8904, prior_entropy: 0.3667, recall: 0.8904, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3265, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.9153, kappa: 0.2935, kb_relative_information_score: -1145.845, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9104, predictive_accuracy: 0.9224, prior_entropy: 0.3667, recall: 0.9224, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
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 [7, 10, 22, 46, 53, 62, 69, 80, 86, 88, 89, 102, 104, 130, 143, 159, 174, 177, 199, 210, 223, 228, 233, 234, 260, 282, 288, 293, 315, 319, 322, 326, 332, 338, 343, 363, 367, 368, 370, 372, 419, 422, 429, 454, 461, 468, 481, 484, 505, 512, 514, 516, 517, 533, 541, 604, 612, 625, 645, 655, 662, 670, 690, 701, 723, 724, 729, 730, 731, 744, 750, 757, 760, 775, 780, 793, 818, 823, 834, 843, 850, 851, 853, 855, 858, 869, 870, 874, 883, 891, 892, 900, 910, 919, 928, 955, 957, 965, 967, 976, 983, 1003, 1015, 1018, 1021, 1035, 1041, 1054, 1061, 1071, 1104] , but got predictions with row id's [0, 15, 21, 26, 27, 44, 58, 64, 87, 105, 107, 126, 131, 164, 170, 180, 185, 197, 198, 219, 239, 240, 246, 253, 259, 266, 306, 312, 339, 341, 345, 355, 357, 373, 382, 388, 394, 433, 443, 459, 463, 479, 502, 513, 520, 522, 545, 551, 560, 568, 579, 582, 589, 593, 601, 616, 621, 627, 651, 656, 659, ... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 941.3142, usercpu_time_millis: 500, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7972, kappa: 0.1153, kb_relative_information_score: -21686.6363, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8972, predictive_accuracy: 0.7352, prior_entropy: 0.3667, recall: 0.7352, relative_absolute_error: 2.018, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.9416, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9199, kappa: 0.2674, kb_relative_information_score: -2451.8931, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9227, predictive_accuracy: 0.9368, prior_entropy: 0.3667, recall: 0.9368, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8961, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9126, kappa: 0.195, kb_relative_information_score: -2141.4083, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9112, predictive_accuracy: 0.9319, prior_entropy: 0.3667, recall: 0.9319, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9429, scimark_benchmark: 941.6675, usercpu_time_millis: 15050, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 14780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.9206, kappa: 0.3041, kb_relative_information_score: -2504.6749, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9167, predictive_accuracy: 0.9323, prior_entropy: 0.3667, recall: 0.9323, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.9564, scimark_benchmark: 944.1067, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 936.3373, usercpu_time_millis: 480, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9262, kappa: 0.3551, kb_relative_information_score: -2062.2819, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9238, predictive_accuracy: 0.9367, prior_entropy: 0.3667, recall: 0.9367, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8841, scimark_benchmark: 947.1781, usercpu_time_millis: 360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.9084, kappa: 0.15, kb_relative_information_score: 169.3253, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9053, predictive_accuracy: 0.93, prior_entropy: 0.3667, recall: 0.93, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9888, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9173, kappa: 0.2622, kb_relative_information_score: -13733.3148, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9135, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.1506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805, scimark_benchmark: 901.6243, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.9218, kappa: 0.318, kb_relative_information_score: -2874.1862, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.918, predictive_accuracy: 0.9327, prior_entropy: 0.3667, recall: 0.9327, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9169, scimark_benchmark: 938.1282, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9199, kappa: 0.2674, kb_relative_information_score: -2451.8931, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9227, predictive_accuracy: 0.9368, prior_entropy: 0.3667, recall: 0.9368, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8961, scimark_benchmark: 945.0194, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9126, kappa: 0.195, kb_relative_information_score: -2141.4083, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9112, predictive_accuracy: 0.9319, prior_entropy: 0.3667, recall: 0.9319, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9429, scimark_benchmark: 938.5476, usercpu_time_millis: 15530, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 15200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.9206, kappa: 0.3041, kb_relative_information_score: -2504.6749, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9167, predictive_accuracy: 0.9323, prior_entropy: 0.3667, recall: 0.9323, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.9564, scimark_benchmark: 910.6607, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9262, kappa: 0.3551, kb_relative_information_score: -2062.2819, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9238, predictive_accuracy: 0.9367, prior_entropy: 0.3667, recall: 0.9367, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8841, scimark_benchmark: 928.8135, usercpu_time_millis: 540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.9084, kappa: 0.15, kb_relative_information_score: 169.3253, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9053, predictive_accuracy: 0.93, prior_entropy: 0.3667, recall: 0.93, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9888, scimark_benchmark: 936.3952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9173, kappa: 0.2622, kb_relative_information_score: -13733.3148, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9135, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.1506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805, scimark_benchmark: 929.9636, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 1314.9949, usercpu_time_millis: 1020, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7972, kappa: 0.1153, kb_relative_information_score: -21686.6363, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8972, predictive_accuracy: 0.7352, prior_entropy: 0.3667, recall: 0.7352, relative_absolute_error: 2.018, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.9416, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9173, kappa: 0.2622, kb_relative_information_score: -13733.3148, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9135, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.1506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805, scimark_benchmark: 1346.2927, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.9134, kappa: 0.1931, kb_relative_information_score: 3175.2616, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9173, predictive_accuracy: 0.9343, prior_entropy: 0.3667, recall: 0.9343, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2564, root_relative_squared_error: 1.0087, scimark_benchmark: 1321.0448, usercpu_time_millis: 1050, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7972, kappa: 0.1153, kb_relative_information_score: -21686.6363, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8972, predictive_accuracy: 0.7352, prior_entropy: 0.3667, recall: 0.7352, relative_absolute_error: 2.018, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.9416, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1362.9924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9173, kappa: 0.2622, kb_relative_information_score: -13733.3148, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9135, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 1.1506, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805, scimark_benchmark: 1360.6367, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7972, kappa: 0.1153, kb_relative_information_score: -21686.6363, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8972, predictive_accuracy: 0.7352, prior_entropy: 0.3667, recall: 0.7352, relative_absolute_error: 2.018, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.9416, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7972, kappa: 0.1153, kb_relative_information_score: -21686.6363, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.8972, predictive_accuracy: 0.7352, prior_entropy: 0.3667, recall: 0.7352, relative_absolute_error: 2.018, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.9416, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9199, kappa: 0.2674, kb_relative_information_score: -2451.8931, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9227, predictive_accuracy: 0.9368, prior_entropy: 0.3667, recall: 0.9368, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8961, scimark_benchmark: 1347.6543, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9168, kappa: 0.2724, kb_relative_information_score: -4554.6872, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 11090, precision: 0.9117, predictive_accuracy: 0.9289, prior_entropy: 0.3667, recall: 0.9289, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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