Task
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -328.6154, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.9335, scimark_benchmark: 937.1527, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9025, kappa: 0.0772, kb_relative_information_score: -221.2674, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8965, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9207, scimark_benchmark: 915.6729, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.9065, kappa: 0.1403, kb_relative_information_score: -140.0295, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8994, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9215, scimark_benchmark: 939.5088, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.9167, kappa: 0.2547, kb_relative_information_score: -90.4066, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.9375, scimark_benchmark: 1250.8301, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -235.5668, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: -242.6163, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9127, scimark_benchmark: 1339.3974, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.9226, kappa: 0.2889, kb_relative_information_score: -211.3165, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3667, recall: 0.9396, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.8867, scimark_benchmark: 940.0008, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.9223, kappa: 0.2798, kb_relative_information_score: -212.2523, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9341, predictive_accuracy: 0.9405, prior_entropy: 0.3667, recall: 0.9405, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.883, scimark_benchmark: 918.6005, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9104, kappa: 0.1504, kb_relative_information_score: -283.2681, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9254, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.917, scimark_benchmark: 889.3151, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9066, kappa: 0.1087, kb_relative_information_score: -284.8987, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9194, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9162, scimark_benchmark: 1034.1273, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 1368.9272, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 876.0664, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.8969, kappa: 0.0142, kb_relative_information_score: -7301.5108, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.878, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 3.7944, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.9438, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: -11.8543, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.2145, kappa: 0.0033, kb_relative_information_score: -7314.6958, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8812, predictive_accuracy: 0.1785, prior_entropy: 0.3667, recall: 0.1785, relative_absolute_error: 3.8151, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.9608, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.8948, kappa: 0.2168, kb_relative_information_score: -218.165, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.899, predictive_accuracy: 0.8909, prior_entropy: 0.3667, recall: 0.8909, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2832, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.896, kappa: 0.2211, kb_relative_information_score: -202.27, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8995, predictive_accuracy: 0.8927, prior_entropy: 0.3667, recall: 0.8927, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.2768, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -183.3169, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.237, root_relative_squared_error: 0.9322, scimark_benchmark: 1263.2205, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.9046, kappa: 0.0872, kb_relative_information_score: -251.2334, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9153, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9108, scimark_benchmark: 1361.2664, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9178, kappa: 0.2755, kb_relative_information_score: -283.9956, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9133, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9205, scimark_benchmark: 1351.3295, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.9074, kappa: 0.2856, kb_relative_information_score: -60.1367, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9077, predictive_accuracy: 0.9071, prior_entropy: 0.3667, recall: 0.9071, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.2054, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.8971, kb_relative_information_score: -667.0739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.966, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 1330.7266, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: 252.0297, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2669, root_relative_squared_error: 1.05, scimark_benchmark: 1334.8495, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.9019, kappa: 0.0979, kb_relative_information_score: -279.3378, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8907, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9986, scimark_benchmark: 1328.4045, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299, scimark_benchmark: 1297.6356, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: 10.5728, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.9202, kappa: 0.2818, kb_relative_information_score: -84.1623, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9193, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.9396, scimark_benchmark: 1355.8341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: -219.1092, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9108, scimark_benchmark: 1307.9718, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.9205, kappa: 0.2901, kb_relative_information_score: -185.5151, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9182, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9162, scimark_benchmark: 1310.6407, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.9042, kappa: 0.1191, kb_relative_information_score: -206.1776, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.251, root_relative_squared_error: 0.9874, scimark_benchmark: 1323.7742, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.9116, kappa: 0.1943, kb_relative_information_score: -25.9521, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9072, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.9852, scimark_benchmark: 1316.8289, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.9164, kappa: 0.2454, kb_relative_information_score: 108.8244, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9612, scimark_benchmark: 1337.3264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.9046, kappa: 0.1103, kb_relative_information_score: -591.8343, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9803, scimark_benchmark: 1268.9931, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.8971, kb_relative_information_score: -0.2845, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 943.1756, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.9177, kappa: 0.3612, kb_relative_information_score: 123.1841, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9175, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.1269, scimark_benchmark: 1346.3935, usercpu_time_millis: 540, usercpu_time_millis_testing: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.9184, kappa: 0.3643, kb_relative_information_score: 90.6757, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9179, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.1243, scimark_benchmark: 1313.6093, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: -242.6163, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9127, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9462, scimark_benchmark: 1297.2338, usercpu_time_millis: 7760, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 7540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: 10.5728, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 1322.7257, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 1281.7531, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1331.8061, usercpu_time_millis: 1050, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 1351.1238, usercpu_time_millis: 990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1360.6367, usercpu_time_millis: 1040, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1371.174, usercpu_time_millis: 990, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 1351.5471, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 1325.6322, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 1332.9478, usercpu_time_millis: 950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1333.1149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9462, scimark_benchmark: 1313.8988, usercpu_time_millis: 4150, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 3930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1336.4564, usercpu_time_millis: 1010, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1308.6872, usercpu_time_millis: 1010, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9178, kappa: 0.2755, kb_relative_information_score: -283.9956, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9133, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9205, scimark_benchmark: 1267.7714, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 1321.8132, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: 10.5728, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 1313.5633, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,

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