Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 331.6508, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5302, scimark_benchmark: 1296.9811, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 354.8252, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4851, scimark_benchmark: 1300.2465, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.7869, kappa: 0.5899, kb_relative_information_score: 259.9397, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8474, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6878, scimark_benchmark: 1291.5341, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8833, kappa: 0.7698, kb_relative_information_score: 168.2611, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9064, predictive_accuracy: 0.8849, prior_entropy: 1, recall: 0.8849, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7764, scimark_benchmark: 1318.1307, usercpu_time_millis: 2.13, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 343.4967, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5077, scimark_benchmark: 1273.2174, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 429.5591, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.353, scimark_benchmark: 1301.2223, usercpu_time_millis: 2.65, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 209.5706, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7725, scimark_benchmark: 1308.2299, usercpu_time_millis: 1.74, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 135.4462, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8446, scimark_benchmark: 1309.5705, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 163.9217, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8321, scimark_benchmark: 1301.5767, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 63.3576, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9211, scimark_benchmark: 1360.5023, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 438.53, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3385, scimark_benchmark: 1280.5496, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 137.9597, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8447, scimark_benchmark: 1295.1145, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 480.2494, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2385, scimark_benchmark: 1332.2698, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 388.955, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4219, scimark_benchmark: 1339.8285, usercpu_time_millis: 1.6, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7441, kappa: 0.518, kb_relative_information_score: 114.2199, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8374, predictive_accuracy: 0.759, prior_entropy: 1, recall: 0.759, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8534, scimark_benchmark: 1297.2378, usercpu_time_millis: 1.11, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8279, kappa: 0.6655, kb_relative_information_score: 151.55, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8747, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8007, scimark_benchmark: 1319.5535, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8681, kappa: 0.7374, kb_relative_information_score: 308.2977, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8761, predictive_accuracy: 0.8687, prior_entropy: 1, recall: 0.8687, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6193, scimark_benchmark: 1353.2894, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8816, kappa: 0.7662, kb_relative_information_score: 247.3443, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9038, predictive_accuracy: 0.8831, prior_entropy: 1, recall: 0.8831, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6744, scimark_benchmark: 1276.8124, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 420.9315, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3805, scimark_benchmark: 1322.153, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.4113, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2111, scimark_benchmark: 1283.7821, usercpu_time_millis: 2.63, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 486.6993, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2231, scimark_benchmark: 1262.1539, usercpu_time_millis: 3.21, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 2.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 168.5043, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8298, scimark_benchmark: 1319.2383, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9149, kappa: 0.8309, kb_relative_information_score: 181.8578, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9277, predictive_accuracy: 0.9155, prior_entropy: 1, recall: 0.9155, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7552, scimark_benchmark: 1331.4809, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 108.4803, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8711, scimark_benchmark: 1254.6503, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 478.686, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.249, scimark_benchmark: 1308.7613, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 502.7803, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1766, scimark_benchmark: 1319.5715, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 324.6477, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5442, scimark_benchmark: 1297.9251, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 40.6625, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9493, scimark_benchmark: 1287.4932, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9802, kappa: 0.9604, kb_relative_information_score: 347.8457, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.981, predictive_accuracy: 0.9802, prior_entropy: 1, recall: 0.9802, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5176, scimark_benchmark: 1287.3977, usercpu_time_millis: 2.7, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 436.6355, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3407, scimark_benchmark: 1274.6277, usercpu_time_millis: 3.36, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 456.7411, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.2943, scimark_benchmark: 1323.8421, usercpu_time_millis: 2.59, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4484, kappa: -0.0036, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4972, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1291.1987, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9477, kappa: 0.8957, kb_relative_information_score: 336.1586, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9528, predictive_accuracy: 0.9478, prior_entropy: 1, recall: 0.9478, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5549, scimark_benchmark: 1312.7072, usercpu_time_millis: 1.91, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4949, kb_relative_information_score: -0.0024, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.9065, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 477.613, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.132, root_relative_squared_error: 0.264, scimark_benchmark: 1373.1915, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.58,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.973, kappa: 0.946, kb_relative_information_score: 347.0235, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9744, predictive_accuracy: 0.973, prior_entropy: 1, recall: 0.973, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5279, scimark_benchmark: 1281.1613, usercpu_time_millis: 2.68, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.36,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 173.3938, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8106, scimark_benchmark: 1276.2399, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 482.2387, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2411, scimark_benchmark: 1259.7257, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 442.2384, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.163, root_relative_squared_error: 0.326, scimark_benchmark: 1429.8143, usercpu_time_millis: 4.36, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 3.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 443.6782, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3167, scimark_benchmark: 1386.4013, usercpu_time_millis: 4.51, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 3.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7736, kappa: 0.5683, kb_relative_information_score: 126.1815, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8492, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8379, scimark_benchmark: 1280.0777, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9369, kappa: 0.8741, kb_relative_information_score: 331.86, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9426, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5635, scimark_benchmark: 1299.3115, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 211.7465, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7563, scimark_benchmark: 1266.3563, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 293.8595, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9462, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.301, root_relative_squared_error: 0.602, scimark_benchmark: 1248.4902, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.01, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1280.4796, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.4058, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7872, scimark_benchmark: 1353.1292, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0112, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1316.6091, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 205.1549, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7652, scimark_benchmark: 1222.2392, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.832, kappa: 0.6727, kb_relative_information_score: 149.1772, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8747, predictive_accuracy: 0.8363, prior_entropy: 1, recall: 0.8363, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8043, scimark_benchmark: 1257.0875, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 430.5166, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3566, scimark_benchmark: 1264.1597, usercpu_time_millis: 3.51, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 425.4272, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3597, scimark_benchmark: 1253.4021, usercpu_time_millis: 0.54, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.742, kappa: 0.5144, kb_relative_information_score: 103.0108, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8366, predictive_accuracy: 0.7572, prior_entropy: 1, recall: 0.7572, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8692, scimark_benchmark: 1303.8083, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 390.0593, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4319, scimark_benchmark: 1288.6342, usercpu_time_millis: 3.73, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 3.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8853, kappa: 0.7734, kb_relative_information_score: 170.9783, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9063, predictive_accuracy: 0.8867, prior_entropy: 1, recall: 0.8867, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7718, scimark_benchmark: 1246.8351, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 2.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 166.978, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8267, scimark_benchmark: 1263.6692, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.924, kappa: 0.8489, kb_relative_information_score: 182.0399, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9344, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7547, scimark_benchmark: 1315.0873, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 457.2527, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.2898, scimark_benchmark: 1272.8818, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 205.3812, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7809, scimark_benchmark: 1248.1814, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.8927, kappa: 0.7878, kb_relative_information_score: 252.7914, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9125, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6664, scimark_benchmark: 1242.7738, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 462.9144, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2829, scimark_benchmark: 1903.3803, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.1981, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.1978, scimark_benchmark: 1862.9991, usercpu_time_millis: 2.115, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 483.5712, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2431, scimark_benchmark: 1543.0155, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 3.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.788, kappa: 0.5935, kb_relative_information_score: 206.136, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8555, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7361, scimark_benchmark: 1794.6019, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.788,

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