OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 3860 Supervised Classification balance-scale 580 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: 0.9981, f_measure: 0.9728, kappa: 0.9453, kb_relative_information_score: 580.1969, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9956, recall: 0.9728, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2696, scimark_benchmark: 940.2922, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9648, kappa: 0.9291, kb_relative_information_score: 569.9297, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9956, recall: 0.9648, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.2997, scimark_benchmark: 876.8277, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9248, kappa: 0.8488, kb_relative_information_score: 519.6753, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9249, predictive_accuracy: 0.9248, prior_entropy: 0.9956, recall: 0.9248, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4559, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8753, kappa: 0.7494, kb_relative_information_score: 438.5765, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8757, predictive_accuracy: 0.8752, prior_entropy: 0.9956, recall: 0.8752, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5973, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7779, kappa: 0.555, kb_relative_information_score: 331.815, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.7804, predictive_accuracy: 0.7776, prior_entropy: 0.9956, recall: 0.7776, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8008, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 577.5623, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9906, predictive_accuracy: 0.9904, prior_entropy: 0.9956, recall: 0.9904, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2314, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9856, kappa: 0.971, kb_relative_information_score: 557.6965, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.9956, recall: 0.9856, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2758, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.976, kappa: 0.9516, kb_relative_information_score: 529.6057, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 0.9956, recall: 0.976, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3306, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9808, kappa: 0.9613, kb_relative_information_score: 497.8165, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 0.9956, recall: 0.9808, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3771, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8974, kappa: 0.7932, kb_relative_information_score: 407.6707, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.898, predictive_accuracy: 0.8976, prior_entropy: 0.9956, recall: 0.8976, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5497, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 513.7168, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4367, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9117, kappa: 0.8221, kb_relative_information_score: 449.224, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9129, predictive_accuracy: 0.912, prior_entropy: 0.9956, recall: 0.912, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5016, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8641, kappa: 0.7269, kb_relative_information_score: 461.5099, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9956, recall: 0.864, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6613, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8974, kappa: 0.7932, kb_relative_information_score: 407.6707, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.898, predictive_accuracy: 0.8976, prior_entropy: 0.9956, recall: 0.8976, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5497, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3778, kb_relative_information_score: 43.8742, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6788, root_relative_squared_error: 1.3618, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8398, kappa: 0.6772, kb_relative_information_score: 392.3835, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7687, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8607, kappa: 0.7197, kb_relative_information_score: 318.2794, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8607, predictive_accuracy: 0.8608, prior_entropy: 0.9956, recall: 0.8608, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6601, scimark_benchmark: 943.2817, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8287, kappa: 0.655, kb_relative_information_score: 137.1392, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8348, predictive_accuracy: 0.8304, prior_entropy: 0.9956, recall: 0.8304, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8445, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9105, kappa: 0.82, kb_relative_information_score: 462.4164, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9107, predictive_accuracy: 0.9104, prior_entropy: 0.9956, recall: 0.9104, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.246, root_relative_squared_error: 0.4935, scimark_benchmark: 945.6434, usercpu_time_millis: 1090, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8562, kappa: 0.7112, kb_relative_information_score: 442.9471, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8572, predictive_accuracy: 0.856, prior_entropy: 0.9956, recall: 0.856, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7556, scimark_benchmark: 904.3001, usercpu_time_millis: 650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8546, kappa: 0.7081, kb_relative_information_score: 440.6307, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8558, predictive_accuracy: 0.8544, prior_entropy: 0.9956, recall: 0.8544, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7661, scimark_benchmark: 915.2795, usercpu_time_millis: 960, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8753, kappa: 0.7494, kb_relative_information_score: 473.4403, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8757, predictive_accuracy: 0.8752, prior_entropy: 0.9956, recall: 0.8752, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6467, scimark_benchmark: 925.6681, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9328, kappa: 0.8648, kb_relative_information_score: 511.6798, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9956, recall: 0.9328, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4691, scimark_benchmark: 947.0793, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9376, kappa: 0.8744, kb_relative_information_score: 546.6608, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9956, recall: 0.9376, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.3957, scimark_benchmark: 938.9865, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8209, kappa: 0.6438, kb_relative_information_score: 327.9173, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.857, predictive_accuracy: 0.8272, prior_entropy: 0.9956, recall: 0.8272, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.339, root_relative_squared_error: 0.68, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9273, kappa: 0.8536, kb_relative_information_score: 534.1841, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9349, predictive_accuracy: 0.928, prior_entropy: 0.9956, recall: 0.928, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5383, scimark_benchmark: 915.2795, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 564.4502, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4395, scimark_benchmark: 945.0164, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 0.1064, build_memory: 1744579412.2752, f_measure: 0.9297, kappa: 0.8588, kb_relative_information_score: 519.8245, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4637, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 0.1025, build_memory: 486267204.5056, f_measure: 0.9297, kappa: 0.8588, kb_relative_information_score: 519.8245, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4637, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 0.1047, build_memory: 1342674574.5664, f_measure: 0.9297, kappa: 0.8588, kb_relative_information_score: 519.8245, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4637, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 0.1183, build_memory: 1159341196.7104, f_measure: 0.9297, kappa: 0.8588, kb_relative_information_score: 519.5814, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4638, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 0.0265, build_memory: 522281985.8048, f_measure: 0.9024, kappa: 0.8036, kb_relative_information_score: 494.1532, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9024, predictive_accuracy: 0.9024, prior_entropy: 0.9956, recall: 0.9024, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5614, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.0638, build_memory: 535445909.5552, f_measure: 0.9088, kappa: 0.8164, kb_relative_information_score: 513.9017, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9088, predictive_accuracy: 0.9088, prior_entropy: 0.9956, recall: 0.9088, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5204, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.1147, build_memory: 608568024.3968, f_measure: 0.9072, kappa: 0.8133, kb_relative_information_score: 508.4507, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9072, predictive_accuracy: 0.9072, prior_entropy: 0.9956, recall: 0.9072, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.541, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, build_cpu_time: 0.1396, build_memory: 134371171.1872, f_measure: 0.9072, kappa: 0.8133, kb_relative_information_score: 508.2145, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9073, predictive_accuracy: 0.9072, prior_entropy: 0.9956, recall: 0.9072, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.544, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, build_cpu_time: 0.0049, build_memory: 471280452.0064, f_measure: 0.8673, kappa: 0.7331, kb_relative_information_score: 457.5101, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8675, predictive_accuracy: 0.8672, prior_entropy: 0.9956, recall: 0.8672, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7311, scimark_benchmark: 907.1899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 0.1471, build_memory: 470647201.1776, f_measure: 0.9151, kappa: 0.8291, kb_relative_information_score: 513.8322, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9152, predictive_accuracy: 0.9152, prior_entropy: 0.9956, recall: 0.9152, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.536, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, build_cpu_time: 0.1006, build_memory: 392919892.9024, f_measure: 0.8672, kappa: 0.7328, kb_relative_information_score: 456.3877, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8672, predictive_accuracy: 0.8672, prior_entropy: 0.9956, recall: 0.8672, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7121, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, build_cpu_time: 0.1976, build_memory: 887606358.976, f_measure: 0.8561, kappa: 0.7109, kb_relative_information_score: 441.9536, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9956, recall: 0.856, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.759, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, build_cpu_time: 0.3796, build_memory: 623837555.7376, f_measure: 0.8562, kappa: 0.7112, kb_relative_information_score: 442.9471, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8572, predictive_accuracy: 0.856, prior_entropy: 0.9956, recall: 0.856, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7556, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, build_cpu_time: 0.8211, build_memory: 674208014.9376, f_measure: 0.8546, kappa: 0.7081, kb_relative_information_score: 440.6307, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8558, predictive_accuracy: 0.8544, prior_entropy: 0.9956, recall: 0.8544, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7661, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 0.0319, build_memory: 638603593.1904, f_measure: 0.9009, kappa: 0.802, kb_relative_information_score: 462.7216, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9058, predictive_accuracy: 0.9008, prior_entropy: 0.9956, recall: 0.9008, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4948, scimark_benchmark: 916.1588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 0.0287, build_memory: 541816031.5008, f_measure: 0.9009, kappa: 0.802, kb_relative_information_score: 462.7216, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9058, predictive_accuracy: 0.9008, prior_entropy: 0.9956, recall: 0.9008, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4948, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.094, build_memory: 683154754.7776, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 583.1234, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9906, predictive_accuracy: 0.9904, prior_entropy: 0.9956, recall: 0.9904, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.2163, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, build_cpu_time: 1.349, build_memory: 208629392.5888, f_measure: 0.8529, kappa: 0.7044, kb_relative_information_score: 440.1753, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8533, predictive_accuracy: 0.8528, prior_entropy: 0.9956, recall: 0.8528, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7625, scimark_benchmark: 937.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, build_cpu_time: 0.5738, build_memory: 1093456956.3776, f_measure: 0.8625, kappa: 0.7237, kb_relative_information_score: 451.3996, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8629, predictive_accuracy: 0.8624, prior_entropy: 0.9956, recall: 0.8624, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7287, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, build_cpu_time: 0.2858, build_memory: 1024295595.4048, f_measure: 0.8753, kappa: 0.7494, kb_relative_information_score: 473.4403, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8757, predictive_accuracy: 0.8752, prior_entropy: 0.9956, recall: 0.8752, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6467, scimark_benchmark: 921.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, build_cpu_time: 0.2168, build_memory: 157868863.9104, f_measure: 0.9328, kappa: 0.8648, kb_relative_information_score: 511.6798, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9956, recall: 0.9328, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4691, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.1222, build_memory: 1272892446.144, f_measure: 0.9376, kappa: 0.8744, kb_relative_information_score: 546.6608, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9956, recall: 0.9376, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.3957, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, build_cpu_time: 0.0015, build_memory: 820780336.512, f_measure: 0.8209, kappa: 0.6438, kb_relative_information_score: 327.9173, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.857, predictive_accuracy: 0.8272, prior_entropy: 0.9956, recall: 0.8272, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.339, root_relative_squared_error: 0.68, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 0.0991, build_memory: 149658147.1872, f_measure: 0.8849, kappa: 0.7685, kb_relative_information_score: 466.7805, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8851, predictive_accuracy: 0.8848, prior_entropy: 0.9956, recall: 0.8848, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5138, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 0.0342, build_memory: 761364589.0304, f_measure: 0.8592, kappa: 0.7165, kb_relative_information_score: 408.1462, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8591, predictive_accuracy: 0.8592, prior_entropy: 0.9956, recall: 0.8592, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_memory: 886958701.696, f_measure: 0.9009, kappa: 0.802, kb_relative_information_score: 462.7216, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9058, predictive_accuracy: 0.9008, prior_entropy: 0.9956, recall: 0.9008, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4948, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, build_cpu_time: 0.2057, build_memory: 500608441.3568, f_measure: 0.9273, kappa: 0.8536, kb_relative_information_score: 534.1841, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9349, predictive_accuracy: 0.928, prior_entropy: 0.9956, recall: 0.928, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5383, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.01, build_memory: 1132030134.8992, f_measure: 0.9265, kappa: 0.8524, kb_relative_information_score: 532.1664, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9275, predictive_accuracy: 0.9264, prior_entropy: 0.9956, recall: 0.9264, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5443, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 0.0189, build_memory: 921921920, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 564.4502, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4395, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 0.0077, build_memory: 227813284.224, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 527.7482, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4086, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 0.0011, build_memory: 36812039.3984, f_measure: 0.955, kappa: 0.9094, kb_relative_information_score: 360.8292, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9569, predictive_accuracy: 0.9552, prior_entropy: 0.9956, recall: 0.9552, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.565, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, build_cpu_time: 0.0111, build_memory: 281571887.8336, f_measure: 0.8927, kappa: 0.784, kb_relative_information_score: 409.1082, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8928, predictive_accuracy: 0.8928, prior_entropy: 0.9956, recall: 0.8928, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5569, scimark_benchmark: 934.4754,

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