OpenML
Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 3642 Supervised Classification fri_c0_250_5 640 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 0.0695, build_memory: 58579404, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 178.9178, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 0.0771, build_memory: 143013928.8, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 178.9178, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.006, build_memory: 377316044, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.0032, build_memory: 22917488.8, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.0027, build_memory: 1812720744, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.0034, build_memory: 1984276806.4, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.0019, build_memory: 145657870.4, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0713, build_memory: 769711971.2, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0524, build_memory: 1162032183.2, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0782, build_memory: 814696455.2, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0529, build_memory: 809791020.8, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, build_cpu_time: 0.0858, build_memory: 954521822.4, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 136.9014, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, build_cpu_time: 0.1204, build_memory: 281600052, f_measure: 0.7678, kappa: 0.536, kb_relative_information_score: 130.017, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7691, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9552, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 0.0401, build_memory: 1501447017.6, f_measure: 0.7319, kappa: 0.464, kb_relative_information_score: 117.9933, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7324, predictive_accuracy: 0.732, prior_entropy: 1, recall: 0.732, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, build_cpu_time: 0.0328, build_memory: 731600514.4, f_measure: 0.74, kappa: 0.48, kb_relative_information_score: 118.6329, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9517, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 0.0106, build_memory: 1082869716, f_measure: 0.7517, kappa: 0.504, kb_relative_information_score: 116.3839, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.753, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9201, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.0052, build_memory: 1140616521.6, f_measure: 0.716, kappa: 0.432, kb_relative_information_score: 102.9701, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.716, predictive_accuracy: 0.716, prior_entropy: 1, recall: 0.716, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8995, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, build_cpu_time: 0.0131, build_memory: 614672693.6, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 177.8634, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6271, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0178, build_memory: 1788406628, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0181, build_memory: 323996125.6, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0197, build_memory: 1247201164, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0222, build_memory: 548510840, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 179.6901, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6223, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 2.3553, build_memory: 86280217.6, f_measure: 0.8238, kappa: 0.648, kb_relative_information_score: 157.224, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8253, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.748, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, build_cpu_time: 4.3007, build_memory: 676839943.2, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 168.0701, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7425, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, build_cpu_time: 8.7025, build_memory: 771063600.8, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 177.7252, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7155, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 34.1632, build_memory: 597673142.4, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 182.4213, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7229, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 14.4952, build_memory: 232538874.4, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 187.4179, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, build_cpu_time: 7.2616, build_memory: 123665848, f_measure: 0.888, kappa: 0.776, kb_relative_information_score: 193.7777, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 1, recall: 0.888, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6695, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 3.7645, build_memory: 77155056, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 190.5363, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6841, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 1.8048, build_memory: 1817568070.4, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 176.2274, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, build_cpu_time: 0.7972, build_memory: 853414337.6, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 175.0332, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7289, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 0.1141, build_memory: 457647994.4, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 167.0374, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7314, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 0.2233, build_memory: 291174339.2, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 183.2236, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6983, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, build_cpu_time: 0.4563, build_memory: 240116866.4, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 179.2116, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7356, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.8815, build_memory: 550943914.4, f_measure: 0.8719, kappa: 0.744, kb_relative_information_score: 187.5853, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8729, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6903, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 2.032, build_memory: 151173691.2, f_measure: 0.8719, kappa: 0.744, kb_relative_information_score: 185.4897, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8735, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7159, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, build_cpu_time: 0.3062, build_memory: 1096326149.6, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 187.8643, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 0.2323, build_memory: 997586618.4, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 186.5626, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6871, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.1196, build_memory: 923310847.2, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 119.8239, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.124, build_memory: 2350781141.6, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 119.8239, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 0.0919, build_memory: 88534293.6, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 118.7314, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6902, scimark_benchmark: 939.8999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, build_cpu_time: 0.0182, build_memory: 762107332.8, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 144.9059, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6477, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, build_cpu_time: 0.0363, build_memory: 759549517.6, f_measure: 0.8759, kappa: 0.752, kb_relative_information_score: 141.5914, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8772, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6456, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.0688, build_memory: 672021872.8, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 139.6052, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6469, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, build_cpu_time: 0.1007, build_memory: 1047075947.2, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 139.2181, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6464, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 6.3175, build_memory: 2199241274.4, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 131.5443, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6532, scimark_benchmark: 907.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 3.2912, build_memory: 800133992, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 131.7182, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6532, scimark_benchmark: 940.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, build_cpu_time: 1.9201, build_memory: 560213347.2, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 132.2184, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, scimark_benchmark: 908.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 0.9663, build_memory: 716371687.2, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 133.9237, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6469, scimark_benchmark: 931.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 0.4312, build_memory: 2168455105.6, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 133.2479, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6514, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, build_cpu_time: 0.004, build_memory: 1066068924, f_measure: 0.6067, kappa: 0.224, kb_relative_information_score: 43.4666, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6184, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9267, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, build_cpu_time: 0.0033, build_memory: 294620433.6, f_measure: 0.6067, kappa: 0.224, kb_relative_information_score: 43.4666, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6184, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9267, scimark_benchmark: 902.1764,

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