Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 1918 Supervised Classification ecoli 169 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

169 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8489, kappa: 0.7984, kb_relative_information_score: 2536.4049, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8443, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5679, scimark_benchmark: 1360.2771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8393, kappa: 0.7921, kb_relative_information_score: 2125.932, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8458, predictive_accuracy: 0.853, prior_entropy: 2.2353, recall: 0.853, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6039, scimark_benchmark: 1327.5791, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8242, kappa: 0.773, kb_relative_information_score: 2127.2039, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8312, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6079, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8202, kappa: 0.7616, kb_relative_information_score: 2372.7619, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8142, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6401, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8643, kappa: 0.8223, kb_relative_information_score: 2640.4309, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8596, predictive_accuracy: 0.8723, prior_entropy: 2.2353, recall: 0.8723, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5923, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.5111, kappa: 0.4476, kb_relative_information_score: 1534.3246, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4229, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.7934, scimark_benchmark: 1268.9931, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8034, kappa: 0.7337, kb_relative_information_score: 2341.2029, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8011, predictive_accuracy: 0.8068, prior_entropy: 2.2353, recall: 0.8068, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7197, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8034, kappa: 0.7337, kb_relative_information_score: 2379.7633, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8011, predictive_accuracy: 0.8068, prior_entropy: 2.2353, recall: 0.8068, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7286, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.2541, kb_relative_information_score: 1.7516, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6648, kappa: 0.5832, kb_relative_information_score: 77.8393, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7117, predictive_accuracy: 0.714, prior_entropy: 2.2353, recall: 0.714, relative_absolute_error: 1.1138, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0305, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8476, kappa: 0.7973, kb_relative_information_score: 2551.9806, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.843, predictive_accuracy: 0.8545, prior_entropy: 2.2353, recall: 0.8545, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6324, scimark_benchmark: 1327.5791, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.5101, kappa: 0.4467, kb_relative_information_score: 1264.4424, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.422, predictive_accuracy: 0.6446, prior_entropy: 2.2353, recall: 0.6446, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8462, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8043, kappa: 0.7369, kb_relative_information_score: 2239.8606, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.799, predictive_accuracy: 0.8113, prior_entropy: 2.2353, recall: 0.8113, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6656, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8265, kappa: 0.769, kb_relative_information_score: 2474.5672, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8217, predictive_accuracy: 0.8345, prior_entropy: 2.2353, recall: 0.8345, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6306, scimark_benchmark: 891.9953, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8268, kappa: 0.7659, kb_relative_information_score: 2469.8178, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8242, predictive_accuracy: 0.8307, prior_entropy: 2.2353, recall: 0.8307, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6271, scimark_benchmark: 1346.3935, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8228, kappa: 0.766, kb_relative_information_score: 2354.1464, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.823, predictive_accuracy: 0.8324, prior_entropy: 2.2353, recall: 0.8324, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.57, scimark_benchmark: 1350.4702, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8254, kappa: 0.768, kb_relative_information_score: 2357.7342, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8229, predictive_accuracy: 0.8339, prior_entropy: 2.2353, recall: 0.8339, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5701, scimark_benchmark: 1176.0388, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8211, kappa: 0.764, kb_relative_information_score: 2350.1091, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8166, predictive_accuracy: 0.831, prior_entropy: 2.2353, recall: 0.831, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5748, scimark_benchmark: 1316.7714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6844, kappa: 0.6532, kb_relative_information_score: 1932.0871, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6263, predictive_accuracy: 0.7592, prior_entropy: 2.2353, recall: 0.7592, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8134, scimark_benchmark: 898.1296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8237, kappa: 0.7629, kb_relative_information_score: 2371.2347, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8216, predictive_accuracy: 0.8286, prior_entropy: 2.2353, recall: 0.8286, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6414, scimark_benchmark: 1384.8417, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8237, kappa: 0.7629, kb_relative_information_score: 2371.2347, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8216, predictive_accuracy: 0.8286, prior_entropy: 2.2353, recall: 0.8286, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6414, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8569, kappa: 0.8054, kb_relative_information_score: 2594.8449, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8633, predictive_accuracy: 0.858, prior_entropy: 2.2353, recall: 0.858, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5454, scimark_benchmark: 1330.7934, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8554, kappa: 0.8034, kb_relative_information_score: 2594.905, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 2.2353, recall: 0.8565, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5466, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.6772, kappa: 0.6386, kb_relative_information_score: 1577.3972, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6259, predictive_accuracy: 0.747, prior_entropy: 2.2353, recall: 0.747, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.215, root_relative_squared_error: 0.713, scimark_benchmark: 937.5996, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8492, kappa: 0.7985, kb_relative_information_score: 2524.6377, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8451, predictive_accuracy: 0.8539, prior_entropy: 2.2353, recall: 0.8539, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5606, scimark_benchmark: 854.5188, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7576, kappa: 0.6875, kb_relative_information_score: 1722.2026, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.752, predictive_accuracy: 0.7804, prior_entropy: 2.2353, recall: 0.7804, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6871, scimark_benchmark: 1335.693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.816, kappa: 0.7548, kb_relative_information_score: 2310.6452, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8111, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6437, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8393, kappa: 0.7848, kb_relative_information_score: 2429.9747, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8344, predictive_accuracy: 0.8446, prior_entropy: 2.2353, recall: 0.8446, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5792, scimark_benchmark: 1361.2664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8135, kappa: 0.7583, kb_relative_information_score: 2123.7191, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8189, predictive_accuracy: 0.8289, prior_entropy: 2.2353, recall: 0.8289, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6126, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8199, kappa: 0.7616, kb_relative_information_score: 2336.1305, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8162, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 1331.1784, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8088, kappa: 0.7451, kb_relative_information_score: 2474.8815, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8059, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5846, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.7507, kappa: 0.6481, kb_relative_information_score: 574.2208, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7925, predictive_accuracy: 0.7393, prior_entropy: 2.2353, recall: 0.7393, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9301, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8334, kappa: 0.7747, kb_relative_information_score: 2504.5871, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8347, predictive_accuracy: 0.8369, prior_entropy: 2.2353, recall: 0.8369, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.5986, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8341, kappa: 0.7853, kb_relative_information_score: 2128.6794, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8414, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.605, scimark_benchmark: 938.343, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8181, kappa: 0.7532, kb_relative_information_score: 2433.7151, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8157, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6586, scimark_benchmark: 930.5999, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8333, kappa: 0.7757, kb_relative_information_score: 2496.8658, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8298, predictive_accuracy: 0.8378, prior_entropy: 2.2353, recall: 0.8378, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6008, scimark_benchmark: 1335.4072, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8366, kappa: 0.7802, kb_relative_information_score: 2480.5306, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8334, predictive_accuracy: 0.8411, prior_entropy: 2.2353, recall: 0.8411, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5903, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8307, kappa: 0.773, kb_relative_information_score: 2460.1204, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8266, predictive_accuracy: 0.836, prior_entropy: 2.2353, recall: 0.836, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5801, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8181, kappa: 0.7581, kb_relative_information_score: 2375.7055, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8122, predictive_accuracy: 0.8259, prior_entropy: 2.2353, recall: 0.8259, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6426, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8514, kappa: 0.8037, kb_relative_information_score: 2505.5679, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8491, predictive_accuracy: 0.8583, prior_entropy: 2.2353, recall: 0.8583, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5631, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8373, kappa: 0.7848, kb_relative_information_score: 2482.3806, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.832, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5931, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.2541, kb_relative_information_score: -5.2487, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027, scimark_benchmark: 869.6028, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8155, kappa: 0.7716, kb_relative_information_score: 423.8556, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8293, predictive_accuracy: 0.8372, prior_entropy: 2.2353, recall: 0.8372, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9784, scimark_benchmark: 942.6843, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8623, kappa: 0.8179, kb_relative_information_score: 2506.3841, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8571, predictive_accuracy: 0.8685, prior_entropy: 2.2353, recall: 0.8685, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5328, scimark_benchmark: 895.5332, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8642, kappa: 0.8223, kb_relative_information_score: 2640.2395, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8596, predictive_accuracy: 0.8723, prior_entropy: 2.2353, recall: 0.8723, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5923, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8119, kappa: 0.7481, kb_relative_information_score: 2241.4757, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8064, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6181, scimark_benchmark: 1361.1055, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, scimark_benchmark: 1315.0767, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7772, kappa: 0.6942, kb_relative_information_score: 2235.033, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7778, predictive_accuracy: 0.7771, prior_entropy: 2.2353, recall: 0.7771, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.7827, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7888, kappa: 0.7189, kb_relative_information_score: 2170.902, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7823, predictive_accuracy: 0.7991, prior_entropy: 2.2353, recall: 0.7991, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.655, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8159, kappa: 0.7558, kb_relative_information_score: 2283.5906, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8108, predictive_accuracy: 0.8253, prior_entropy: 2.2353, recall: 0.8253, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6379, scimark_benchmark: 1066.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8318, kappa: 0.7727, kb_relative_information_score: 2469.2763, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8292, predictive_accuracy: 0.8357, prior_entropy: 2.2353, recall: 0.8357, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6719, scimark_benchmark: 1320.2556, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.609, kappa: 0.465, kb_relative_information_score: 1564.2547, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6611, predictive_accuracy: 0.6503, prior_entropy: 2.2353, recall: 0.6503, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9803, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8129, kappa: 0.7509, kb_relative_information_score: 2401.4676, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8083, predictive_accuracy: 0.8202, prior_entropy: 2.2353, recall: 0.8202, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.6319, kappa: 0.5409, kb_relative_information_score: 1656.3642, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6238, predictive_accuracy: 0.6795, prior_entropy: 2.2353, recall: 0.6795, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.9385, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8007, kappa: 0.7325, kb_relative_information_score: 2347.1372, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7954, predictive_accuracy: 0.8077, prior_entropy: 2.2353, recall: 0.8077, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.7269, scimark_benchmark: 1330.0803, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.2541, kb_relative_information_score: 1.7516, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8185, kappa: 0.7586, kb_relative_information_score: 2377.2677, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8125, predictive_accuracy: 0.8262, prior_entropy: 2.2353, recall: 0.8262, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6425, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, build_cpu_time: 0.9647, build_memory: 2840421204.2786, f_measure: 0.8416, kappa: 0.7896, kb_relative_information_score: 2428.6171, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8382, predictive_accuracy: 0.8491, prior_entropy: 2.2353, recall: 0.8491, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5617, scimark_benchmark: 946.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, build_cpu_time: 1.9907, build_memory: 202799872.0119, f_measure: 0.8433, kappa: 0.7916, kb_relative_information_score: 2429.7395, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8402, predictive_accuracy: 0.8506, prior_entropy: 2.2353, recall: 0.8506, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5603, scimark_benchmark: 931.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, build_cpu_time: 0.3333, build_memory: 245080576.2429, f_measure: 0.8446, kappa: 0.7933, kb_relative_information_score: 2451.3117, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8392, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5569, scimark_benchmark: 943.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.1997, build_memory: 853269828.9833, f_measure: 0.8456, kappa: 0.7938, kb_relative_information_score: 2450.6101, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8408, predictive_accuracy: 0.8515, prior_entropy: 2.2353, recall: 0.8515, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5579, scimark_benchmark: 913.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 0.6274, build_memory: 235513368.5833, f_measure: 0.8456, kappa: 0.7939, kb_relative_information_score: 2454.5181, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8409, predictive_accuracy: 0.8515, prior_entropy: 2.2353, recall: 0.8515, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5585, scimark_benchmark: 937.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, build_cpu_time: 0.0465, build_memory: 164756325.3405, f_measure: 0.8401, kappa: 0.7862, kb_relative_information_score: 2442.3359, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.835, predictive_accuracy: 0.8458, prior_entropy: 2.2353, recall: 0.8458, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 914.3324,

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