Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1318.1258, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.1732, scimark_benchmark: 1748.8645, usercpu_time_millis: 11.649, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 11.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9252, kappa: 0.8481, kb_relative_information_score: 871.9079, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5206, scimark_benchmark: 1876.3693, usercpu_time_millis: 2.376, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 1064.8676, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3761, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1142.7424, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3483, scimark_benchmark: 1754.1079, usercpu_time_millis: 12.513, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 12.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1050.9524, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3626, scimark_benchmark: 1876.6882, usercpu_time_millis: 7.422, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9613, kappa: 0.9216, kb_relative_information_score: 1081.8192, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3835, scimark_benchmark: 1877.2162, usercpu_time_millis: 3.78, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 1109.7581, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3603, scimark_benchmark: 1868.7112, usercpu_time_millis: 7.756, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.4676, mean_absolute_error: 0.0155, 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: 0.0314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1714, scimark_benchmark: 1869.1029, usercpu_time_millis: 6.779, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8504, kappa: 0.6962, kb_relative_information_score: 474.7707, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8556, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7487, scimark_benchmark: 1877.7472, usercpu_time_millis: 7.302, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1274.1472, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2146, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.78, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1165.1499, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2861, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1326.2423, mean_absolute_error: 0.0178, 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: 0.0361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1741, scimark_benchmark: 1874.0573, usercpu_time_millis: 6.944, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1136.0544, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3039, scimark_benchmark: 1871.8506, usercpu_time_millis: 7.097, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1316.3336, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.183, scimark_benchmark: 1875.1311, usercpu_time_millis: 3.96, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 3.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 962.7043, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.972, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4262, scimark_benchmark: 1876.8275, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9234, kappa: 0.8449, kb_relative_information_score: 964.4277, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9234, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.496, scimark_benchmark: 1870.6721, usercpu_time_millis: 4.234, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 4.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1868.4621, usercpu_time_millis: 10.992, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 10.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1180.7598, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2796, scimark_benchmark: 1869.2422, usercpu_time_millis: 3.188, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 972.2947, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9661, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4248, scimark_benchmark: 1865.8853, usercpu_time_millis: 4.476, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.854, kappa: 0.7037, kb_relative_information_score: 436.9544, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8644, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7682, scimark_benchmark: 1875.8384, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.3582, mean_absolute_error: 0.4936, 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: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1285.5248, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.983, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2066, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.143, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1161.5571, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2933, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1153.2403, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9747, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3127, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.815, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8358, kappa: 0.6669, kb_relative_information_score: 363.0546, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.848, predictive_accuracy: 0.8389, prior_entropy: 0.9912, recall: 0.8389, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8076, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 872.2141, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4877, scimark_benchmark: 1873.5991, usercpu_time_millis: 8.949, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 8.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1215.3726, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2596, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.091, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.949, kappa: 0.8967, kb_relative_information_score: 892.4944, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4857, scimark_benchmark: 1863.9374, usercpu_time_millis: 3.507, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 3.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.2727, mean_absolute_error: 0.0156, 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: 0.0316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1707, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.405, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9613, kappa: 0.9216, kb_relative_information_score: 1083.2037, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3816, scimark_benchmark: 1876.6882, usercpu_time_millis: 4.169, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9511, kappa: 0.9007, kb_relative_information_score: 980.3043, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9515, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4433, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.989, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1297.4136, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9864, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.198, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.168,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1248.3979, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2312, scimark_benchmark: 1872.9496, usercpu_time_millis: 7.669, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1279.0049, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2112, scimark_benchmark: 1878.0518, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8843, kappa: 0.765, kb_relative_information_score: 671.7725, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8902, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6424, scimark_benchmark: 1872.5609, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1216.7943, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2548, scimark_benchmark: 1754.6748, usercpu_time_millis: 2.985, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1324.3803, mean_absolute_error: 0.0187, 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: 0.0378, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1759, scimark_benchmark: 2032.8736, usercpu_time_millis: 5.348, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1304.328, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9864, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.1928, scimark_benchmark: 1870.9309, usercpu_time_millis: 5.882, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 1114.8427, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3475, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.993, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 179.0001, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9043, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.979, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 9.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 1274.4276, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9836, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2206, scimark_benchmark: 1876.2965, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.6499, mean_absolute_error: 0.0191, 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: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1761, scimark_benchmark: 1867.725, usercpu_time_millis: 7.597, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -2.2394, mean_absolute_error: 0.4944, 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: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1874.5188, usercpu_time_millis: 4.899, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 4.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9774, kappa: 0.9544, kb_relative_information_score: 984.3686, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4087, scimark_benchmark: 1867.725, usercpu_time_millis: 6.932, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9481, kappa: 0.8948, kb_relative_information_score: 952.4187, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9487, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.465, scimark_benchmark: 1871.9601, usercpu_time_millis: 5.091, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9347, kappa: 0.8675, kb_relative_information_score: 942.9287, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9372, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4858, scimark_benchmark: 1875.8384, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.896, kappa: 0.7888, kb_relative_information_score: 684.9134, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8977, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6361, scimark_benchmark: 1872.4216, usercpu_time_millis: 8.125, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 8.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8493, kappa: 0.6943, kb_relative_information_score: 130.17, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8499, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9317, scimark_benchmark: 1759.1595, usercpu_time_millis: 8.128, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 8.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1272.9033, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.216, scimark_benchmark: 1873.9387, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1871.7311, usercpu_time_millis: 4.358, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 4.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1336.2826, mean_absolute_error: 0.0133, 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: 0.027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.1717, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.117, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1238.9373, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2478, scimark_benchmark: 1876.3693, usercpu_time_millis: 2.871, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1174.3783, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2793, scimark_benchmark: 1875.8384, usercpu_time_millis: 5.775, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 1322.705, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1324, scimark_benchmark: 1864.2145, usercpu_time_millis: 14.756, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 14.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9466, kappa: 0.8918, kb_relative_information_score: 1002.4569, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4442, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1246.6857, mean_absolute_error: 0.0513, 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: 0.1039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.2631, scimark_benchmark: 1867.4545, usercpu_time_millis: 8.23, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 8.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.903, kappa: 0.803, kb_relative_information_score: 782.7525, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9068, predictive_accuracy: 0.9038, prior_entropy: 0.9912, recall: 0.9038, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5818, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.752, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.416, mean_absolute_error: 0.0128, 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: 0.0259, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1747, scimark_benchmark: 1875.8384, usercpu_time_millis: 8.023, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 8.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8541, kappa: 0.7036, kb_relative_information_score: 481.9552, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8595, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7444, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.897, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9466, kappa: 0.8918, kb_relative_information_score: 997.1152, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4467, scimark_benchmark: 1877.8658, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 990.9051, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4046, scimark_benchmark: 1877.7472, usercpu_time_millis: 3.287, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 979.7077, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4405, scimark_benchmark: 1855.1584, usercpu_time_millis: 18.005, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 17.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 1118.6349, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3527, scimark_benchmark: 1876.3693, usercpu_time_millis: 3.918, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 896.5237, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4705, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 1.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1178.7869, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.39, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9037, kappa: 0.8044, kb_relative_information_score: 489.3092, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9079, predictive_accuracy: 0.9045, prior_entropy: 0.9912, recall: 0.9045, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7296, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -25.2647, mean_absolute_error: 0.4998, 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: 1.0121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0059, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8753, kappa: 0.7467, kb_relative_information_score: 600.5624, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8822, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6816, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.429, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.423,

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