OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
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  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.814, kappa: 0.5896, kb_relative_information_score: 108.691, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8197, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7516, scimark_benchmark: 1345.7582, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.8025, kappa: 0.5661, kb_relative_information_score: 113.7828, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8319, scimark_benchmark: 1314.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 146.6948, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.793, scimark_benchmark: 1205.8291, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 125.9916, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.851, scimark_benchmark: 943.1756, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7827, kappa: 0.5298, kb_relative_information_score: 140.0988, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7794, scimark_benchmark: 1320.9026, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 137.82, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.8652, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 115.7335, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.243, root_relative_squared_error: 0.8, scimark_benchmark: 1308.3124, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7827, kappa: 0.5298, kb_relative_information_score: 140.0988, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7794, scimark_benchmark: 929.0363, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8178, kappa: 0.5982, kb_relative_information_score: 108.9847, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.823, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7523, scimark_benchmark: 1337.0272, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8453, kappa: 0.6618, kb_relative_information_score: 161.6791, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8455, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6948, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, build_cpu_time: 8.9205, build_memory: 1299169982.6395, f_measure: 0.8163, kappa: 0.5966, kb_relative_information_score: 129.9072, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8176, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7398, scimark_benchmark: 912.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.1338, build_memory: 829089663.2109, f_measure: 0.8142, kappa: 0.5933, kb_relative_information_score: 132.3708, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7409, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0466, build_memory: 612344942.2857, f_measure: 0.8078, kappa: 0.58, kb_relative_information_score: 132.1477, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8073, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.742, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0429, build_memory: 148581028.1633, f_measure: 0.8078, kappa: 0.58, kb_relative_information_score: 132.1477, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8073, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.742, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 0.0339, build_memory: 1566132678.2585, f_measure: 0.8114, kappa: 0.5884, kb_relative_information_score: 121.8337, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8109, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.7617, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 0.5127, build_memory: 805677153.3605, f_measure: 0.8408, kappa: 0.6506, kb_relative_information_score: 7.8938, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8423, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9504, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 0.1774, build_memory: 518086966.0408, f_measure: 0.8062, kappa: 0.5747, kb_relative_information_score: 123.5488, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7498, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.2423, build_memory: 630918860.7075, f_measure: 0.8482, kappa: 0.6672, kb_relative_information_score: 7.814, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8491, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.2657, build_memory: 597277178.449, f_measure: 0.8482, kappa: 0.6672, kb_relative_information_score: 7.814, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8491, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 0.937, build_memory: 1456542950.2041, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 7.9964, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9502, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 1.8904, build_memory: 3770422486.2857, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 8.0418, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9501, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 8.2002, build_memory: 484627557.415, f_measure: 0.8091, kappa: 0.5852, kb_relative_information_score: 157.6468, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8994, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 21.7117, build_memory: 397982178.4762, f_measure: 0.7809, kappa: 0.522, kb_relative_information_score: 145.176, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7801, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9208, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, build_cpu_time: 4.3382, build_memory: 274882965.4422, f_measure: 0.8087, kappa: 0.5835, kb_relative_information_score: 161.8953, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8082, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.86, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.0007, build_memory: 101393806.9388, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0603, build_memory: 1177100068.7891, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 67.2905, build_memory: 921370121.8231, f_measure: 0.8219, kappa: 0.6116, kb_relative_information_score: 166.3906, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8215, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8757, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 42.9384, build_memory: 44915632.4898, f_measure: 0.7987, kappa: 0.5621, kb_relative_information_score: 148.8282, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7982, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9195, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 16.2305, build_memory: 1254961459.1565, f_measure: 0.8004, kappa: 0.5632, kb_relative_information_score: 154.1085, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9208, scimark_benchmark: 907.4175,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, build_cpu_time: 0.0002, build_memory: 926287504, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 947.7747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, build_cpu_time: 0.038, build_memory: 779433289.6327, f_measure: 0.826, kappa: 0.6215, kb_relative_information_score: 151.9092, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.7403, scimark_benchmark: 945.1738,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, build_cpu_time: 0.0005, build_memory: 624978584, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 943.4022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, build_cpu_time: 0.0042, build_memory: 66464441.932, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.0006, build_memory: 142169639.8912, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.0008, build_memory: 145919497.2789, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.4382, build_memory: 1397623767.0476, f_measure: 0.7647, kappa: 0.4835, kb_relative_information_score: 135.2152, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7644, predictive_accuracy: 0.7687, prior_entropy: 1.0314, recall: 0.7687, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9467, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0598, build_memory: 281126401.4694, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 3.3728, build_memory: 778697123.0204, f_measure: 0.8014, kappa: 0.5668, kb_relative_information_score: 150.8457, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8008, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9258, scimark_benchmark: 942.958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, build_cpu_time: 0.7583, build_memory: 98567004.1088, f_measure: 0.795, kappa: 0.5537, kb_relative_information_score: 149.3286, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7945, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.28, root_relative_squared_error: 0.922, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 0.0689, build_memory: 140515446.8571, f_measure: 0.8227, kappa: 0.6102, kb_relative_information_score: 149.5758, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8251, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7444, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, build_cpu_time: 0.0538, build_memory: 599189824.0272, f_measure: 0.795, kappa: 0.5537, kb_relative_information_score: 147.7526, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7945, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.8572, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.1615, build_memory: 746186819.5374, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 137.5477, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7298, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.1553, build_memory: 554730540.517, f_measure: 0.7866, kappa: 0.533, kb_relative_information_score: 146.2886, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7861, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9382, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, build_cpu_time: 0.0199, build_memory: 673747994.6939, f_measure: 0.785, kappa: 0.5324, kb_relative_information_score: 146.1832, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7845, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.825, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, build_cpu_time: 0.1066, build_memory: 2492216748.5442, f_measure: 0.7797, kappa: 0.518, kb_relative_information_score: 141.9304, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7791, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9561, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.1086, build_memory: 81166066.068, f_measure: 0.8095, kappa: 0.5869, kb_relative_information_score: 155.4609, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8474, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 0.1742, build_memory: 731328997.3605, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 142.8608, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.7249, scimark_benchmark: 926.9332,

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