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OpenML
OpenML
Supervised Classification on autoMpg

Supervised Classification on autoMpg

Task 3696 Supervised Classification autoMpg 504 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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504 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.907, kappa: 0.8136, kb_relative_information_score: 313.3392, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.907, predictive_accuracy: 0.907, prior_entropy: 0.9982, recall: 0.907, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5288, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9121, kappa: 0.8239, kb_relative_information_score: 327.7396, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9124, predictive_accuracy: 0.9121, prior_entropy: 0.9982, recall: 0.9121, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5938, scimark_benchmark: 1312.3073, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.892, kappa: 0.7844, kb_relative_information_score: 311.6818, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8961, predictive_accuracy: 0.892, prior_entropy: 0.9982, recall: 0.892, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6582, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8794, kappa: 0.7584, kb_relative_information_score: 301.6456, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8797, predictive_accuracy: 0.8794, prior_entropy: 0.9982, recall: 0.8794, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6954, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9171, kappa: 0.8338, kb_relative_information_score: 308.8129, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9171, predictive_accuracy: 0.9171, prior_entropy: 0.9982, recall: 0.9171, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5038, scimark_benchmark: 1304.9611, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.651, kappa: 0.301, kb_relative_information_score: 118.9874, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.6516, predictive_accuracy: 0.6508, prior_entropy: 0.9982, recall: 0.6508, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1834, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9221, kappa: 0.8439, kb_relative_information_score: 313.8101, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9223, predictive_accuracy: 0.9221, prior_entropy: 0.9982, recall: 0.9221, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4837, scimark_benchmark: 909.1698, usercpu_time_millis: 7040, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9171, kappa: 0.8341, kb_relative_information_score: 326.3357, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9181, predictive_accuracy: 0.9171, prior_entropy: 0.9982, recall: 0.9171, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5275, scimark_benchmark: 1250.8301, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9347, kappa: 0.8691, kb_relative_information_score: 315.4704, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9348, predictive_accuracy: 0.9347, prior_entropy: 0.9982, recall: 0.9347, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.467, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.897, kappa: 0.7936, kb_relative_information_score: 312.3063, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8972, predictive_accuracy: 0.897, prior_entropy: 0.9982, recall: 0.897, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6299, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8996, kappa: 0.7988, kb_relative_information_score: 288.997, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9, predictive_accuracy: 0.8995, prior_entropy: 0.9982, recall: 0.8995, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.5857, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9195, kappa: 0.8386, kb_relative_information_score: 317.6946, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9197, predictive_accuracy: 0.9196, prior_entropy: 0.9982, recall: 0.9196, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5223, scimark_benchmark: 1354.2491, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.912, kappa: 0.8236, kb_relative_information_score: 327.7396, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.912, predictive_accuracy: 0.9121, prior_entropy: 0.9982, recall: 0.9121, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5938, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6515, kappa: 0.3341, kb_relative_information_score: 139.0598, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.7207, predictive_accuracy: 0.6759, prior_entropy: 0.9982, recall: 0.6759, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.1401, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.907, kappa: 0.8136, kb_relative_information_score: 310.2471, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9071, predictive_accuracy: 0.907, prior_entropy: 0.9982, recall: 0.907, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5621, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8644, kappa: 0.7285, kb_relative_information_score: 289.6022, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8652, predictive_accuracy: 0.8643, prior_entropy: 0.9982, recall: 0.8643, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7376, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8568, kappa: 0.7131, kb_relative_information_score: 283.5805, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.857, predictive_accuracy: 0.8568, prior_entropy: 0.9982, recall: 0.8568, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7578, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3616, kb_relative_information_score: -0.0096, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.2758, predictive_accuracy: 0.5251, prior_entropy: 0.9982, recall: 0.5251, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9271, kappa: 0.8539, kb_relative_information_score: 327.3025, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9272, predictive_accuracy: 0.9271, prior_entropy: 0.9982, recall: 0.9271, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8795, kappa: 0.759, kb_relative_information_score: 304.5249, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8817, predictive_accuracy: 0.8794, prior_entropy: 0.9982, recall: 0.8794, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6428, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8995, kappa: 0.7987, kb_relative_information_score: 315.1289, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8998, predictive_accuracy: 0.8995, prior_entropy: 0.9982, recall: 0.8995, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5931, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3205, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.548, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3205, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.548, scimark_benchmark: 894.7455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9021, kappa: 0.8041, kb_relative_information_score: 317.6314, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9035, predictive_accuracy: 0.902, prior_entropy: 0.9982, recall: 0.902, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6083, scimark_benchmark: 911.3823, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8996, kappa: 0.799, kb_relative_information_score: 315.7431, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9008, predictive_accuracy: 0.8995, prior_entropy: 0.9982, recall: 0.8995, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6028, scimark_benchmark: 943.2817, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.892, kappa: 0.7843, kb_relative_information_score: 309.7562, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8953, predictive_accuracy: 0.892, prior_entropy: 0.9982, recall: 0.892, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6376, scimark_benchmark: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8844, kappa: 0.7693, kb_relative_information_score: 304.4142, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8881, predictive_accuracy: 0.8844, prior_entropy: 0.9982, recall: 0.8844, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6463, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8793, kappa: 0.7596, kb_relative_information_score: 299.9049, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8857, predictive_accuracy: 0.8794, prior_entropy: 0.9982, recall: 0.8794, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6852, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.902, kappa: 0.8036, kb_relative_information_score: 311.8973, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9982, recall: 0.902, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5737, scimark_benchmark: 936.6206, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8894, kappa: 0.7783, kb_relative_information_score: 309.8044, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8894, predictive_accuracy: 0.8894, prior_entropy: 0.9982, recall: 0.8894, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5526, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.902, kappa: 0.8035, kb_relative_information_score: 310.2625, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9982, recall: 0.902, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5312, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8944, kappa: 0.7883, kb_relative_information_score: 300.2692, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8945, predictive_accuracy: 0.8945, prior_entropy: 0.9982, recall: 0.8945, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5467, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8945, kappa: 0.7885, kb_relative_information_score: 293.1313, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8946, predictive_accuracy: 0.8945, prior_entropy: 0.9982, recall: 0.8945, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.5542, scimark_benchmark: 931.2336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 0.0469, build_memory: 579173148.9849, f_measure: 0.8619, kappa: 0.7231, kb_relative_information_score: 287.856, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.862, predictive_accuracy: 0.8618, prior_entropy: 0.9982, recall: 0.8618, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7325, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.0398, build_memory: 513792893.3869, f_measure: 0.8669, kappa: 0.7333, kb_relative_information_score: 291.7855, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8672, predictive_accuracy: 0.8668, prior_entropy: 0.9982, recall: 0.8668, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7027, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 0.0133, build_memory: 1574736729.7286, f_measure: 0.8568, kappa: 0.7131, kb_relative_information_score: 285.8839, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.857, predictive_accuracy: 0.8568, prior_entropy: 0.9982, recall: 0.8568, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7069, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, build_cpu_time: 0.0095, build_memory: 287920181.7487, f_measure: 0.8844, kappa: 0.7684, kb_relative_information_score: 297.3188, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8845, predictive_accuracy: 0.8844, prior_entropy: 0.9982, recall: 0.8844, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6449, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0201, build_memory: 513759867.5779, f_measure: 0.902, kappa: 0.8037, kb_relative_information_score: 311.8822, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9982, recall: 0.902, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5597, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, build_cpu_time: 0.0284, build_memory: 596283006.4121, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3358, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5473, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.0334, build_memory: 1511047014.6332, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3205, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.548, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.0329, build_memory: 888069387.6985, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3205, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.548, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.0375, build_memory: 1984912247.5176, f_measure: 0.9046, kappa: 0.8088, kb_relative_information_score: 315.3205, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9982, recall: 0.9045, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.548, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, build_cpu_time: 3.8314, build_memory: 719732854.6734, f_measure: 0.9196, kappa: 0.839, kb_relative_information_score: 327.392, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9201, predictive_accuracy: 0.9196, prior_entropy: 0.9982, recall: 0.9196, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5492, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 7.8564, build_memory: 23359077.5075, f_measure: 0.9146, kappa: 0.8288, kb_relative_information_score: 331.6399, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9147, predictive_accuracy: 0.9146, prior_entropy: 0.9982, recall: 0.9146, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5494, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 15.7202, build_memory: 2183091370.9146, f_measure: 0.9096, kappa: 0.8189, kb_relative_information_score: 328.2561, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9101, predictive_accuracy: 0.9095, prior_entropy: 0.9982, recall: 0.9095, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.564, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 30.5032, build_memory: 810040276.5226, f_measure: 0.9196, kappa: 0.8391, kb_relative_information_score: 333.1074, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9204, predictive_accuracy: 0.9196, prior_entropy: 0.9982, recall: 0.9196, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5659, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 58.0426, build_memory: 41353486.1508, f_measure: 0.9171, kappa: 0.8341, kb_relative_information_score: 332.2894, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9181, predictive_accuracy: 0.9171, prior_entropy: 0.9982, recall: 0.9171, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.569, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, build_cpu_time: 57.1829, build_memory: 421556032.201, f_measure: 0.9347, kappa: 0.8691, kb_relative_information_score: 345.8047, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9348, predictive_accuracy: 0.9347, prior_entropy: 0.9982, recall: 0.9347, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5118, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 27.588, build_memory: 2462815731.6181, f_measure: 0.9322, kappa: 0.8641, kb_relative_information_score: 342.8998, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9323, predictive_accuracy: 0.9322, prior_entropy: 0.9982, recall: 0.9322, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5231, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, build_cpu_time: 7.0973, build_memory: 153379485.8291, f_measure: 0.9347, kappa: 0.869, kb_relative_information_score: 345.2698, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 0.9982, recall: 0.9347, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5072, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, build_cpu_time: 0.5214, build_memory: 582229834.7136, f_measure: 0.8994, kappa: 0.7983, kb_relative_information_score: 314.7343, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8996, predictive_accuracy: 0.8995, prior_entropy: 0.9982, recall: 0.8995, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6125, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 0.888, build_memory: 314305823.4774, f_measure: 0.9146, kappa: 0.8289, kb_relative_information_score: 329.2721, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9148, predictive_accuracy: 0.9146, prior_entropy: 0.9982, recall: 0.9146, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5692, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 2.2919, build_memory: 630807093.1256, f_measure: 0.9272, kappa: 0.854, kb_relative_information_score: 339.364, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9273, predictive_accuracy: 0.9271, prior_entropy: 0.9982, recall: 0.9271, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5322, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, build_cpu_time: 3.6719, build_memory: 686452769.9296, f_measure: 0.9246, kappa: 0.8489, kb_relative_information_score: 340.3969, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9247, predictive_accuracy: 0.9246, prior_entropy: 0.9982, recall: 0.9246, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5264, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 7.7973, build_memory: 1143689430.4121, f_measure: 0.9322, kappa: 0.8642, kb_relative_information_score: 344.0303, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9325, predictive_accuracy: 0.9322, prior_entropy: 0.9982, recall: 0.9322, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5183, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.1131, build_memory: 618814930.392, f_measure: 0.9096, kappa: 0.8187, kb_relative_information_score: 326.0032, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9096, predictive_accuracy: 0.9095, prior_entropy: 0.9982, recall: 0.9095, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5707, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.1402, build_memory: 1055782991.8794, f_measure: 0.9096, kappa: 0.8187, kb_relative_information_score: 326.0032, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9096, predictive_accuracy: 0.9095, prior_entropy: 0.9982, recall: 0.9095, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5707, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.1073, build_memory: 299666902.6332, f_measure: 0.9096, kappa: 0.8187, kb_relative_information_score: 326.0032, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9096, predictive_accuracy: 0.9095, prior_entropy: 0.9982, recall: 0.9095, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5707, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0904, build_memory: 960509383.0553, f_measure: 0.9121, kappa: 0.8238, kb_relative_information_score: 325.7553, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9122, predictive_accuracy: 0.9121, prior_entropy: 0.9982, recall: 0.9121, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5697, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, build_cpu_time: 0.0612, build_memory: 508173851.2563, f_measure: 0.9096, kappa: 0.8187, kb_relative_information_score: 320.644, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9096, predictive_accuracy: 0.9095, prior_entropy: 0.9982, recall: 0.9095, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5759, scimark_benchmark: 902.712,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs