Task
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13739 runs submitted
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  • OpenML100 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.803, kappa: 0.7915, kb_relative_information_score: 456.3139, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8075, predictive_accuracy: 0.8039, prior_entropy: 4.208, recall: 0.8039, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7141, kappa: 0.689, kb_relative_information_score: 394.7503, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7496, predictive_accuracy: 0.7075, prior_entropy: 4.208, recall: 0.7075, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7885, usercpu_time_millis: 47.611, usercpu_time_millis_testing: 11.621, usercpu_time_millis_training: 35.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.803, kappa: 0.7915, kb_relative_information_score: 455.1542, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8075, predictive_accuracy: 0.8039, prior_entropy: 4.208, recall: 0.8039, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6457, usercpu_time_millis: 43.824, usercpu_time_millis_testing: 10.455, usercpu_time_millis_training: 33.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7444, kappa: 0.7198, kb_relative_information_score: 416.7435, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7681, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7473, usercpu_time_millis: 72.96, usercpu_time_millis_testing: 9.482, usercpu_time_millis_training: 63.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7647, kappa: 0.7523, kb_relative_information_score: 430.4217, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7747, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.7037, usercpu_time_millis: 6.44, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 6.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.5808, kappa: 0.5401, kb_relative_information_score: 317.8611, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6227, predictive_accuracy: 0.5657, prior_entropy: 4.208, recall: 0.5657, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.9609, usercpu_time_millis: 263.17, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 262.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.4455, kappa: 0.4689, kb_relative_information_score: 266.4471, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.584, predictive_accuracy: 0.5131, prior_entropy: 4.208, recall: 0.5131, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2207, root_relative_squared_error: 1.0173, usercpu_time_millis: 390.423, usercpu_time_millis_testing: 96.93, usercpu_time_millis_training: 293.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8875, kappa: 0.8807, kb_relative_information_score: 501.5056, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8939, predictive_accuracy: 0.8879, prior_entropy: 4.208, recall: 0.8879, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4881, usercpu_time_millis: 1069.382, usercpu_time_millis_testing: 150.104, usercpu_time_millis_training: 919.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.2123, kappa: 0.1933, kb_relative_information_score: 137.1244, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.4125, predictive_accuracy: 0.2662, prior_entropy: 4.208, recall: 0.2662, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2709, root_relative_squared_error: 1.2489, usercpu_time_millis: 245.88, usercpu_time_millis_testing: 90.386, usercpu_time_millis_training: 155.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.028, kappa: -0, kb_relative_information_score: 36.4802, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0187, predictive_accuracy: 0.1033, prior_entropy: 4.208, recall: 0.1033, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2994, root_relative_squared_error: 1.3806, usercpu_time_millis: 5.582, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 5.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8787, kappa: 0.8787, kb_relative_information_score: 499.0949, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8978, predictive_accuracy: 0.8862, prior_entropy: 4.208, recall: 0.8862, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4919, usercpu_time_millis: 23.25, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 22.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.7799, kappa: 0.776, kb_relative_information_score: 442.3695, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.145, root_relative_squared_error: 0.6684, usercpu_time_millis: 307.696, usercpu_time_millis_testing: 85.405, usercpu_time_millis_training: 222.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8043, kappa: 0.789, kb_relative_information_score: 450.5407, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8198, predictive_accuracy: 0.8021, prior_entropy: 4.208, recall: 0.8021, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.6486, usercpu_time_millis: 79.13, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 77.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7141, kappa: 0.689, kb_relative_information_score: 394.7503, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7496, predictive_accuracy: 0.7075, prior_entropy: 4.208, recall: 0.7075, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7885, usercpu_time_millis: 42.336, usercpu_time_millis_testing: 10.737, usercpu_time_millis_training: 31.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.803, kappa: 0.7915, kb_relative_information_score: 455.1542, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8075, predictive_accuracy: 0.8039, prior_entropy: 4.208, recall: 0.8039, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6457, usercpu_time_millis: 39.251, usercpu_time_millis_testing: 9.202, usercpu_time_millis_training: 30.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7444, kappa: 0.7198, kb_relative_information_score: 416.7435, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7681, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7473, usercpu_time_millis: 63.58, usercpu_time_millis_testing: 9.191, usercpu_time_millis_training: 54.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.6866, kappa: 0.6597, kb_relative_information_score: 381.1471, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7163, predictive_accuracy: 0.6795, prior_entropy: 4.208, recall: 0.6795, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.179, root_relative_squared_error: 0.8254, usercpu_time_millis: 11.227, usercpu_time_millis_testing: 11.018, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.6411, kappa: 0.6223, kb_relative_information_score: 354.8472, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6807, predictive_accuracy: 0.648, prior_entropy: 4.208, recall: 0.648, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.865, usercpu_time_millis: 30.165, usercpu_time_millis_testing: 7.472, usercpu_time_millis_training: 22.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7647, kappa: 0.7523, kb_relative_information_score: 430.4217, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7747, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.7037, usercpu_time_millis: 7.965, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 7.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8264, kappa: 0.8157, kb_relative_information_score: 469.2521, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.83, predictive_accuracy: 0.8266, prior_entropy: 4.208, recall: 0.8266, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6071, usercpu_time_millis: 5.399, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.2375, kappa: 0.1985, kb_relative_information_score: 127.5179, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.2367, predictive_accuracy: 0.2504, prior_entropy: 4.208, recall: 0.2504, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.2623, usercpu_time_millis: 509.351, usercpu_time_millis_testing: 43.764, usercpu_time_millis_training: 465.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.179, kappa: 0.1878, kb_relative_information_score: 124.0996, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.3245, predictive_accuracy: 0.2137, prior_entropy: 4.208, recall: 0.2137, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2804, root_relative_squared_error: 1.2929, usercpu_time_millis: 49.492, usercpu_time_millis_testing: 31.474, usercpu_time_millis_training: 18.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.2425, kappa: 0.2208, kb_relative_information_score: 139.5656, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.2946, predictive_accuracy: 0.282, prior_entropy: 4.208, recall: 0.282, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.268, root_relative_squared_error: 1.2355, usercpu_time_millis: 3.537, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 3.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.1289, kappa: 0.0969, kb_relative_information_score: 77.9423, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.1408, predictive_accuracy: 0.1769, prior_entropy: 4.208, recall: 0.1769, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2869, root_relative_squared_error: 1.3228, usercpu_time_millis: 34.877, usercpu_time_millis_testing: 9.189, usercpu_time_millis_training: 25.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7789, kappa: 0.7655, kb_relative_information_score: 439.4567, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7857, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.6849, usercpu_time_millis: 52.278, usercpu_time_millis_testing: 9.356, usercpu_time_millis_training: 42.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8858, kappa: 0.8843, kb_relative_information_score: 502.9027, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.9007, predictive_accuracy: 0.8914, prior_entropy: 4.208, recall: 0.8914, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.4804, usercpu_time_millis: 268.738, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 266.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8978, kappa: 0.8956, kb_relative_information_score: 510.1192, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.907, predictive_accuracy: 0.9019, prior_entropy: 4.208, recall: 0.9019, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.099, root_relative_squared_error: 0.4566, usercpu_time_millis: 116.892, usercpu_time_millis_testing: 10.714, usercpu_time_millis_training: 106.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8996, kappa: 0.8975, kb_relative_information_score: 511.2509, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.909, predictive_accuracy: 0.9037, prior_entropy: 4.208, recall: 0.9037, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4525, usercpu_time_millis: 31.596, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 30.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7489, kappa: 0.7251, kb_relative_information_score: 417.7791, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7736, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.7398, usercpu_time_millis: 7.991, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 5.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.0563, kappa: 0.033, kb_relative_information_score: 49.4646, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0384, predictive_accuracy: 0.1278, prior_entropy: 4.208, recall: 0.1278, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2953, root_relative_squared_error: 1.3616, usercpu_time_millis: 5.798, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 5.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7899, kappa: 0.7578, kb_relative_information_score: 432.5676, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8446, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.693, usercpu_time_millis: 33.938, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 33.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.0982, kappa: 0.0495, kb_relative_information_score: 60.7149, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.5361, predictive_accuracy: 0.1471, prior_entropy: 4.208, recall: 0.1471, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.292, root_relative_squared_error: 1.3465, usercpu_time_millis: 20.584, usercpu_time_millis_testing: 2.253, usercpu_time_millis_training: 18.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7089, kappa: 0.6915, kb_relative_information_score: 396.5406, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7273, predictive_accuracy: 0.711, prior_entropy: 4.208, recall: 0.711, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.17, root_relative_squared_error: 0.7838, usercpu_time_millis: 12.738, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 12.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.5521, kappa: 0.507, kb_relative_information_score: 298.6217, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6023, predictive_accuracy: 0.5359, prior_entropy: 4.208, recall: 0.5359, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9933, usercpu_time_millis: 267.899, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 267.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0046, kb_relative_information_score: 17.4867, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0024, predictive_accuracy: 0.049, prior_entropy: 4.208, recall: 0.049, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.4218, usercpu_time_millis: 4013.325, usercpu_time_millis_testing: 509.728, usercpu_time_millis_training: 3503.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.803, kappa: 0.7915, kb_relative_information_score: 456.3139, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8075, predictive_accuracy: 0.8039, prior_entropy: 4.208, recall: 0.8039, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.6237, scimark_benchmark: 1112.2808, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7141, kappa: 0.689, kb_relative_information_score: 389.8384, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7496, predictive_accuracy: 0.7075, prior_entropy: 4.208, recall: 0.7075, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.168, root_relative_squared_error: 0.7745, scimark_benchmark: 1083.1325, usercpu_time_millis: 2480, usercpu_time_millis_testing: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.751, kappa: 0.7356, kb_relative_information_score: 427.7083, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7667, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6437, scimark_benchmark: 1134.9169, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8596, kappa: 0.858, kb_relative_information_score: 409.101, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8832, predictive_accuracy: 0.8669, prior_entropy: 4.208, recall: 0.8669, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6271, scimark_benchmark: 1090.8433, usercpu_time_millis: 1740, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.734, kappa: 0.7417, kb_relative_information_score: 437.7475, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8314, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.7219, scimark_benchmark: 1292.8324, usercpu_time_millis: 14040, usercpu_time_millis_testing: 6780, usercpu_time_millis_training: 7260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7464, kappa: 0.7234, kb_relative_information_score: 413.6856, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7691, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.6948, scimark_benchmark: 1119.5591, usercpu_time_millis: 6440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.8531, kb_relative_information_score: 488.9595, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8673, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5422, scimark_benchmark: 1139.8025, usercpu_time_millis: 7460, usercpu_time_millis_testing: 7380, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7871, kappa: 0.768, kb_relative_information_score: 113.4367, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8113, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.9639, scimark_benchmark: 1050.1279, usercpu_time_millis: 2680, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7894, kappa: 0.7763, kb_relative_information_score: 445.0557, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.806, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.6557, scimark_benchmark: 1052.6147, usercpu_time_millis: 3476600, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3476520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.6115, kappa: 0.5729, kb_relative_information_score: 369.8759, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.702, predictive_accuracy: 0.5989, prior_entropy: 4.208, recall: 0.5989, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.7419, scimark_benchmark: 1004.086, usercpu_time_millis: 3440, usercpu_time_millis_testing: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.5974, kappa: 0.566, kb_relative_information_score: 328.8268, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7058, predictive_accuracy: 0.5937, prior_entropy: 4.208, recall: 0.5937, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.7807, scimark_benchmark: 1264.4913, usercpu_time_millis: 3750, usercpu_time_millis_testing: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7179, kappa: 0.7015, kb_relative_information_score: 398.7157, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7278, predictive_accuracy: 0.7198, prior_entropy: 4.208, recall: 0.7198, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.7581, scimark_benchmark: 1324.6824, usercpu_time_millis: 27430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 27280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8468, kappa: 0.8385, kb_relative_information_score: 483.7752, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8559, predictive_accuracy: 0.8476, prior_entropy: 4.208, recall: 0.8476, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5667, scimark_benchmark: 674.6625, usercpu_time_millis: 42970, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 42370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.8784, kappa: 0.8732, kb_relative_information_score: 449.9033, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.889, predictive_accuracy: 0.8809, prior_entropy: 4.208, recall: 0.8809, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.5444, scimark_benchmark: 988.1752, usercpu_time_millis: 39280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 39250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.7795, kappa: 0.7781, kb_relative_information_score: 455.2391, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8293, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.6679, scimark_benchmark: 1165.9657, usercpu_time_millis: 36190, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 35570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7649, kappa: 0.7503, kb_relative_information_score: 434.7233, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7816, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6297, scimark_benchmark: 939.9116, usercpu_time_millis: 43990, usercpu_time_millis_training: 43990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.6851, kappa: 0.6691, kb_relative_information_score: 416.3339, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6999, predictive_accuracy: 0.69, prior_entropy: 4.208, recall: 0.69, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.6781, scimark_benchmark: 1228.2464, usercpu_time_millis: 40320, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 39870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6503, kappa: 0.633, kb_relative_information_score: 389.521, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6797, predictive_accuracy: 0.6567, prior_entropy: 4.208, recall: 0.6567, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.154, root_relative_squared_error: 0.71, scimark_benchmark: 1147.3583, usercpu_time_millis: 33550, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 33090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.6331, kappa: 0.6003, kb_relative_information_score: 395.9726, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.726, predictive_accuracy: 0.6235, prior_entropy: 4.208, recall: 0.6235, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7344, scimark_benchmark: 1155.3367, usercpu_time_millis: 3730, usercpu_time_millis_testing: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.6749, kappa: 0.6609, kb_relative_information_score: 419.6616, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6992, predictive_accuracy: 0.6813, prior_entropy: 4.208, recall: 0.6813, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.6919, scimark_benchmark: 1151.6389, usercpu_time_millis: 34520, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 34280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.0211, kappa: -0.0092, kb_relative_information_score: 3.0736, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0157, predictive_accuracy: 0.0963, prior_entropy: 4.208, recall: 0.0963, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.217, root_relative_squared_error: 1.0003, scimark_benchmark: 820.9948, usercpu_time_millis: 27500, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 25730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.0577, kappa: 0.0885, kb_relative_information_score: 115.1297, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0349, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9763, scimark_benchmark: 742.151, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.1169, kappa: 0.0797, kb_relative_information_score: 44.1731, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.1622, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9728, scimark_benchmark: 975.9212, usercpu_time_millis: 44320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 44300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7998, kappa: 0.7852, kb_relative_information_score: 112.6284, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8137, predictive_accuracy: 0.7986, prior_entropy: 4.208, recall: 0.7986, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9644, scimark_benchmark: 1665.4554, usercpu_time_millis: 7120, usercpu_time_millis_testing: 6270, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8017, kappa: 0.7896, kb_relative_information_score: 454.8691, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8092, predictive_accuracy: 0.8021, prior_entropy: 4.208, recall: 0.8021, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6282, scimark_benchmark: 940.0109, usercpu_time_millis: 1510, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7141, kappa: 0.689, kb_relative_information_score: 389.8384, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7496, predictive_accuracy: 0.7075, prior_entropy: 4.208, recall: 0.7075, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.168, root_relative_squared_error: 0.7745, scimark_benchmark: 901.458, usercpu_time_millis: 2600, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.8531, kb_relative_information_score: 488.9595, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8673, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5422, scimark_benchmark: 935.6931, usercpu_time_millis: 3880, usercpu_time_millis_testing: 3670, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.8531, kb_relative_information_score: 488.9595, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8673, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.0577, kappa: 0.0885, kb_relative_information_score: 115.1297, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0349, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.1289, kappa: 0.0969, kb_relative_information_score: 77.9423, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.1408, predictive_accuracy: 0.1769, prior_entropy: 4.208, recall: 0.1769, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2869, root_relative_squared_error: 1.3228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.734, kappa: 0.7417, kb_relative_information_score: 437.7475, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8314, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.8531, kb_relative_information_score: 488.9595, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8673, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.0577, kappa: 0.0885, kb_relative_information_score: 115.1297, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0349, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.1289, kappa: 0.0969, kb_relative_information_score: 77.9423, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.1408, predictive_accuracy: 0.1769, prior_entropy: 4.208, recall: 0.1769, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2869, root_relative_squared_error: 1.3228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.734, kappa: 0.7417, kb_relative_information_score: 437.7475, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8314, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.751, kappa: 0.7356, kb_relative_information_score: 427.7083, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7667, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.02, kb_relative_information_score: 0.7499, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.011, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5463, kappa: 0.5209, kb_relative_information_score: 301.9395, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.5521, predictive_accuracy: 0.5499, prior_entropy: 4.208, recall: 0.5499, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.7516, kappa: 0.735, kb_relative_information_score: 426.1104, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7639, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.0577, kappa: 0.0885, kb_relative_information_score: 115.1297, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0349, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8627, kappa: 0.8531, kb_relative_information_score: 488.9595, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8673, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.7789, kappa: 0.7655, kb_relative_information_score: 440.6245, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7857, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.6705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.02, kb_relative_information_score: 0.7499, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.011, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8626, kappa: 0.8506, kb_relative_information_score: 494.088, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8755, predictive_accuracy: 0.8599, prior_entropy: 4.208, recall: 0.8599, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8775, kappa: 0.8716, kb_relative_information_score: 503.9847, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8894, predictive_accuracy: 0.8792, prior_entropy: 4.208, recall: 0.8792, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7629, kappa: 0.747, kb_relative_information_score: 428.7353, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7709, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.1189, kappa: 0.0753, kb_relative_information_score: 44.58, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.4026, predictive_accuracy: 0.1681, prior_entropy: 4.208, recall: 0.1681, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7141, kappa: 0.689, kb_relative_information_score: 394.7503, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7496, predictive_accuracy: 0.7075, prior_entropy: 4.208, recall: 0.7075, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.02, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.011, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.7955, kappa: 0.7868, kb_relative_information_score: 21.781, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8365, predictive_accuracy: 0.8004, prior_entropy: 4.208, recall: 0.8004, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.6841, kappa: 0.6619, kb_relative_information_score: 382.3024, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6924, predictive_accuracy: 0.683, prior_entropy: 4.208, recall: 0.683, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0141, kb_relative_information_score: 31.6108, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0077, predictive_accuracy: 0.0876, prior_entropy: 4.208, recall: 0.0876, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8032, kappa: 0.793, kb_relative_information_score: 455.8665, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8104, predictive_accuracy: 0.8056, prior_entropy: 4.208, recall: 0.8056, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.5986, kappa: 0.5575, kb_relative_information_score: 194.1409, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6711, predictive_accuracy: 0.5884, prior_entropy: 4.208, recall: 0.5884, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.057, kappa: 0.0865, kb_relative_information_score: 114.8992, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0344, predictive_accuracy: 0.1734, prior_entropy: 4.208, recall: 0.1734, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.7615, kappa: 0.7445, kb_relative_information_score: 430.8157, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.768, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.6615, kappa: 0.6499, kb_relative_information_score: 377.4263, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.691, predictive_accuracy: 0.6708, prior_entropy: 4.208, recall: 0.6708, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8158, kappa: 0.8027, kb_relative_information_score: 460.7395, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8279, predictive_accuracy: 0.8144, prior_entropy: 4.208, recall: 0.8144, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.856, kappa: 0.8451, kb_relative_information_score: 480.2062, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8725, predictive_accuracy: 0.8546, prior_entropy: 4.208, recall: 0.8546, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8189, kappa: 0.8073, kb_relative_information_score: 454.5739, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8407, predictive_accuracy: 0.8196, prior_entropy: 4.208, recall: 0.8196, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.119, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.7629, kappa: 0.7568, kb_relative_information_score: 21.6541, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8232, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.0578, kappa: 0.0884, kb_relative_information_score: 113.0414, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.0349, predictive_accuracy: 0.1751, prior_entropy: 4.208, recall: 0.1751, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7493, kappa: 0.7544, kb_relative_information_score: 462.3127, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.832, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6052,

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