Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9687, kappa: 0.9366, kb_relative_information_score: 1114.2266, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589, scimark_benchmark: 1751.9876, usercpu_time_millis: 3.195, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1231.9968, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2418, scimark_benchmark: 1871.2001, usercpu_time_millis: 2.679, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 2.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8879, kappa: 0.7723, kb_relative_information_score: 569.3083, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8946, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6939, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.974, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9171, kappa: 0.8316, kb_relative_information_score: 886.3209, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.526, scimark_benchmark: 1847.1943, usercpu_time_millis: 1.274, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1236.4929, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2671, scimark_benchmark: 1979.221, usercpu_time_millis: 3.168, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 914.1963, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5118, scimark_benchmark: 1963.9059, usercpu_time_millis: 2.799, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 2.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1230.4932, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.2414, scimark_benchmark: 1861.2508, usercpu_time_millis: 6.273, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 5.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1259.3377, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2031, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.405, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1203.7864, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2805, scimark_benchmark: 1940.2268, usercpu_time_millis: 2.289, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1092.8305, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3452, scimark_benchmark: 1964.9288, usercpu_time_millis: 0.941, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9066, kappa: 0.8104, kb_relative_information_score: 688.096, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9109, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.623, scimark_benchmark: 1857.9581, usercpu_time_millis: 2.4, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8783, kappa: 0.7537, kb_relative_information_score: 618.7332, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8784, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6762, scimark_benchmark: 1860.0853, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9687, kappa: 0.9366, kb_relative_information_score: 1122.4382, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3494, scimark_benchmark: 1868.7999, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9085, kappa: 0.8142, kb_relative_information_score: 797.1637, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9099, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5714, scimark_benchmark: 1864.8991, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.1488, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1739.5967, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0684, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1946.1522, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.856, kappa: 0.7097, kb_relative_information_score: 659.8535, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8578, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6764, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8596, kappa: 0.7165, kb_relative_information_score: 719.2479, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8606, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444, scimark_benchmark: 1858.7234, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1218.2464, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2624, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1165.44, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3131, scimark_benchmark: 1866.5348, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 912.0523, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9317, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.4919, scimark_benchmark: 1860.7227, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1300.5242, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2044, scimark_benchmark: 1865.4271, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1277.3205, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224, scimark_benchmark: 737.1616, usercpu_time_millis: 14.357, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 13.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1252.7165, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2051, scimark_benchmark: 1864.8991, usercpu_time_millis: 7.82, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 7.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1250.4596, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.209, scimark_benchmark: 1932.3436, usercpu_time_millis: 9.555, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 8.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.0954, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1825, scimark_benchmark: 1862.2432, usercpu_time_millis: 8.25, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 7.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1314.2243, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2085, scimark_benchmark: 1861.2508, usercpu_time_millis: 6.492, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 6.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1238.6241, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2465, scimark_benchmark: 1865.4271, usercpu_time_millis: 6.722, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 6.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1174.1672, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3101, scimark_benchmark: 1871.2001, usercpu_time_millis: 6.197, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 1235.9312, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2712, scimark_benchmark: 1868.9998, usercpu_time_millis: 4.024, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 3.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1235.4417, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2225, scimark_benchmark: 1869.5308, usercpu_time_millis: 6.433, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 5.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1250.3859, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2239, scimark_benchmark: 1864.8991, usercpu_time_millis: 8.436, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 7.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1272.0283, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.202, scimark_benchmark: 1868.7188, usercpu_time_millis: 4.626, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 4.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1256.3153, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.247, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.473, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8969, kappa: 0.7905, kb_relative_information_score: 644.7697, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9028, predictive_accuracy: 0.898, prior_entropy: 0.9912, recall: 0.898, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6503, scimark_benchmark: 1789.9392, usercpu_time_millis: 3.086, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 2.651,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1209.62, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2495, scimark_benchmark: 1859.7394, usercpu_time_millis: 4.84, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 4.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.926, kappa: 0.8498, kb_relative_information_score: 847.8873, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9277, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.527, scimark_benchmark: 1742.5561, usercpu_time_millis: 2.617, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1299.1841, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1752, scimark_benchmark: 1735.633, usercpu_time_millis: 4.341, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1252.5819, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2058, scimark_benchmark: 791.1719, usercpu_time_millis: 3.424, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 3.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0056, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1745.3654, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0095, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1746.5708, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1276.0793, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225, scimark_benchmark: 1870.2139, usercpu_time_millis: 6.289, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 5.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 897.1209, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5208, scimark_benchmark: 1750.0786, usercpu_time_millis: 4.464, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 3.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1306.8667, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2031, scimark_benchmark: 1863.9124, usercpu_time_millis: 4.588, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 4.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1244.1847, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2373, scimark_benchmark: 1748.66, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1118.0648, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3241, scimark_benchmark: 1753.8378, usercpu_time_millis: 3.667, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 3.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 1095.3106, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3815, scimark_benchmark: 1746.6801, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1251.7319, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2087, scimark_benchmark: 786.4115, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1294.2081, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1954, scimark_benchmark: 1741.8739, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 1082.8244, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9462, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4212, scimark_benchmark: 1858.1494, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0196, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1751.3379, usercpu_time_millis: 0.859, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1261.836, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2385, scimark_benchmark: 1850.8437, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1296.1356, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2069, scimark_benchmark: 789.421, usercpu_time_millis: 21.801, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 20.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1304.3581, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.1994, scimark_benchmark: 1863.9953, usercpu_time_millis: 11.705, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 11.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1203.3665, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2895, scimark_benchmark: 790.5689, usercpu_time_millis: 10.556, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 9.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1006.427, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5172, scimark_benchmark: 1865.3572, usercpu_time_millis: 8.792, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 8.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 1036.1145, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4553, scimark_benchmark: 791.1719, usercpu_time_millis: 8.671, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 8.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1276.9075, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.1978, scimark_benchmark: 1866.1838, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1249.4728, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2766, scimark_benchmark: 1865.9581, usercpu_time_millis: 6.002, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 5.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9766, kappa: 0.9526, kb_relative_information_score: 1212.2282, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2962, scimark_benchmark: 1867.4545, usercpu_time_millis: 4.054, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1232.9961, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2423, scimark_benchmark: 1866.9963, usercpu_time_millis: 5.647, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 5.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1184.0312, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2704, scimark_benchmark: 1865.8853, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 3.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9196, kappa: 0.8368, kb_relative_information_score: 1007.2282, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5089, scimark_benchmark: 1871.0879, usercpu_time_millis: 6.589, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 6.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1287.9922, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2147, scimark_benchmark: 1841.4569, usercpu_time_millis: 4.42, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 4.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9452, kappa: 0.889, kb_relative_information_score: 1104.891, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9455, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.403, scimark_benchmark: 1864.9656, usercpu_time_millis: 5.441, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 5.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9562, kappa: 0.9114, kb_relative_information_score: 1042.8187, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4191, scimark_benchmark: 1864.0535, usercpu_time_millis: 4.321, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 3.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1217.9096, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2642, scimark_benchmark: 790.5689, usercpu_time_millis: 2.299, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1261.1859, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.2329, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.687, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 3.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9781, kappa: 0.9556, kb_relative_information_score: 1209.923, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2846, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 1024.5862, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9385, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.463, scimark_benchmark: 1754.1484, usercpu_time_millis: 3.605, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.165,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs