Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 1908 Supervised Classification optdigits 167 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

167 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 53363.5902, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9519, predictive_accuracy: 0.9517, prior_entropy: 3.3218, recall: 0.9517, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3275, scimark_benchmark: 1270.2428, usercpu_time_millis: 1370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 1168.3268, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 53148.4282, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 3.3218, recall: 0.9559, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.294, scimark_benchmark: 833.3193, usercpu_time_millis: 44870, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 44720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9192, kappa: 0.91, kb_relative_information_score: 50341.6215, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9195, predictive_accuracy: 0.919, prior_entropy: 3.3218, recall: 0.919, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3699, scimark_benchmark: 1341.4981, usercpu_time_millis: 5570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.7176, kappa: 0.7066, kb_relative_information_score: 20846.2967, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7899, predictive_accuracy: 0.7359, prior_entropy: 3.3218, recall: 0.7359, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8699, scimark_benchmark: 1322.7383, usercpu_time_millis: 280640, usercpu_time_millis_testing: 280640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9869, kappa: 0.9854, kb_relative_information_score: 55387.345, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 3.3218, recall: 0.9869, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1704, scimark_benchmark: 1327.9121, usercpu_time_millis: 6060, usercpu_time_millis_testing: 6060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.2567, kappa: 0.2533, kb_relative_information_score: 489.7728, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.494, predictive_accuracy: 0.3286, prior_entropy: 3.3218, recall: 0.3286, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9979, scimark_benchmark: 1340.9497, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 53774.185, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9588, predictive_accuracy: 0.9587, prior_entropy: 3.3218, recall: 0.9587, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3029, scimark_benchmark: 1340.1351, usercpu_time_millis: 51480, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 51280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.0798, kappa: 0.1093, kb_relative_information_score: 11923.3091, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0607, predictive_accuracy: 0.1991, prior_entropy: 3.3218, recall: 0.1991, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9626, scimark_benchmark: 904.3681, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9719, kappa: 0.9687, kb_relative_information_score: 54556.645, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 3.3218, recall: 0.9719, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2208, scimark_benchmark: 1345.4669, usercpu_time_millis: 39300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 39290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9514, kappa: 0.9459, kb_relative_information_score: 51045.3638, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9516, predictive_accuracy: 0.9514, prior_entropy: 3.3218, recall: 0.9514, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3181, scimark_benchmark: 1311.7039, usercpu_time_millis: 13080, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 12930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7827, kappa: 0.6991, kb_relative_information_score: 40280.9757, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9268, predictive_accuracy: 0.729, prior_entropy: 3.3218, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776, scimark_benchmark: 1310.6407, usercpu_time_millis: 71910, usercpu_time_millis_testing: 41120, usercpu_time_millis_training: 30790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8744, kappa: 0.8606, kb_relative_information_score: 48819.2135, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8744, predictive_accuracy: 0.8745, prior_entropy: 3.3218, recall: 0.8745, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5081, scimark_benchmark: 1353.3179, usercpu_time_millis: 1020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8744, kappa: 0.8606, kb_relative_information_score: 48819.2135, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8744, predictive_accuracy: 0.8745, prior_entropy: 3.3218, recall: 0.8745, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5081, scimark_benchmark: 1327.9952, usercpu_time_millis: 1170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 889.3151, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9144, kappa: 0.9044, kb_relative_information_score: 51312.652, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9167, predictive_accuracy: 0.914, prior_entropy: 3.3218, recall: 0.914, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.4213, scimark_benchmark: 1345.1228, usercpu_time_millis: 1210, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9144, kappa: 0.9043, kb_relative_information_score: 51307.5639, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9167, predictive_accuracy: 0.9139, prior_entropy: 3.3218, recall: 0.9139, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.4216, scimark_benchmark: 909.1698, usercpu_time_millis: 920, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.5484, kappa: 0.5454, kb_relative_information_score: 25227.7894, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.552, predictive_accuracy: 0.591, prior_entropy: 3.3218, recall: 0.591, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8088, scimark_benchmark: 1333.5799, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9418, kappa: 0.9354, kb_relative_information_score: 52803.2939, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9418, predictive_accuracy: 0.9419, prior_entropy: 3.3218, recall: 0.9419, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.3572, scimark_benchmark: 1333.5799, usercpu_time_millis: 75150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 75080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.7541, kappa: 0.7459, kb_relative_information_score: 4119.4855, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7939, predictive_accuracy: 0.7713, prior_entropy: 3.3218, recall: 0.7713, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9792, scimark_benchmark: 1340.1351, usercpu_time_millis: 260, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.61, kappa: 0.5726, kb_relative_information_score: 25673.3537, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.6162, predictive_accuracy: 0.6154, prior_entropy: 3.3218, recall: 0.6154, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7945, scimark_benchmark: 1329.4984, usercpu_time_millis: 9080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9095, kappa: 0.8991, kb_relative_information_score: 50430.7251, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.91, predictive_accuracy: 0.9092, prior_entropy: 3.3218, recall: 0.9092, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4334, scimark_benchmark: 1342.6563, usercpu_time_millis: 7300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8616, kappa: 0.8462, kb_relative_information_score: 48067.2291, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8616, predictive_accuracy: 0.8616, prior_entropy: 3.3218, recall: 0.8616, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5546, scimark_benchmark: 932.0242, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8068, kappa: 0.7858, kb_relative_information_score: 41860.2204, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8074, predictive_accuracy: 0.8072, prior_entropy: 3.3218, recall: 0.8072, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5707, scimark_benchmark: 1323.237, usercpu_time_millis: 12010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9733, kappa: 0.9703, kb_relative_information_score: 49822.8283, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9734, predictive_accuracy: 0.9733, prior_entropy: 3.3218, recall: 0.9733, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3258, scimark_benchmark: 918.6005, usercpu_time_millis: 5580, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9705, kappa: 0.9673, kb_relative_information_score: 49763.6531, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 3.3218, recall: 0.9706, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.332, scimark_benchmark: 934.1747, usercpu_time_millis: 4460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9642, kappa: 0.9601, kb_relative_information_score: 53950.77, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9642, predictive_accuracy: 0.9641, prior_entropy: 3.3218, recall: 0.9641, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.246, scimark_benchmark: 935.5075, usercpu_time_millis: 25920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.95, kappa: 0.9444, kb_relative_information_score: 51025.9177, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9502, predictive_accuracy: 0.9499, prior_entropy: 3.3218, recall: 0.9499, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3205, scimark_benchmark: 1326.6647, usercpu_time_millis: 7440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 50979.8414, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9472, predictive_accuracy: 0.947, prior_entropy: 3.3218, recall: 0.947, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3257, scimark_benchmark: 1327.4647, usercpu_time_millis: 3860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 50883.6166, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9425, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3359, scimark_benchmark: 1331.482, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9229, kappa: 0.9138, kb_relative_information_score: 51851.9922, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9245, predictive_accuracy: 0.9225, prior_entropy: 3.3218, recall: 0.9225, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3897, scimark_benchmark: 1332.4146, usercpu_time_millis: 360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 43636.6849, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.7847, predictive_accuracy: 0.786, prior_entropy: 3.3218, recall: 0.786, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331, scimark_benchmark: 1332.4146, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9869, kappa: 0.9854, kb_relative_information_score: 55430.059, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 3.3218, recall: 0.9869, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1706, scimark_benchmark: 929.0363, usercpu_time_millis: 42170, usercpu_time_millis_testing: 42170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.0318, kappa: -0.0003, kb_relative_information_score: 7.6757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8662, kappa: 0.8493, kb_relative_information_score: 48474.1094, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8831, predictive_accuracy: 0.8644, prior_entropy: 3.3218, recall: 0.8644, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5308, scimark_benchmark: 1307.4861, usercpu_time_millis: 2350, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9629, kappa: 0.9587, kb_relative_information_score: 49599.2864, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 3.3218, recall: 0.9629, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1330.0694, usercpu_time_millis: 1110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9498, kappa: 0.9441, kb_relative_information_score: 52761.5158, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 3.3218, recall: 0.9497, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2925, scimark_benchmark: 1465.2979, usercpu_time_millis: 10310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9082, kappa: 0.8981, kb_relative_information_score: 50708.7789, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9083, predictive_accuracy: 0.9083, prior_entropy: 3.3218, recall: 0.9083, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4335, scimark_benchmark: 869.6028, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 1363.434, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 943.1756, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.0875, kappa: 0.1083, kb_relative_information_score: 10859.1959, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 915.9324, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.987, kappa: 0.9855, kb_relative_information_score: 55398.8971, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.3218, recall: 0.987, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1552, scimark_benchmark: 916.6405, usercpu_time_millis: 12660, usercpu_time_millis_testing: 12660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9879, kappa: 0.9866, kb_relative_information_score: 55474.6141, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 3.3218, recall: 0.9879, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1536, scimark_benchmark: 825.5282, usercpu_time_millis: 12710, usercpu_time_millis_testing: 12710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9713, kappa: 0.9681, kb_relative_information_score: 16779.359, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9716, predictive_accuracy: 0.9713, prior_entropy: 3.3218, recall: 0.9713, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 1294.7826, usercpu_time_millis: 52110, usercpu_time_millis_testing: 42340, usercpu_time_millis_training: 9770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 16823.132, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 933.3136, usercpu_time_millis: 1280, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9716, kappa: 0.9685, kb_relative_information_score: 54283.2935, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 3.3218, recall: 0.9716, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2237, scimark_benchmark: 1304.9611, usercpu_time_millis: 10790, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 53363.5902, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9519, predictive_accuracy: 0.9517, prior_entropy: 3.3218, recall: 0.9517, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3275, scimark_benchmark: 939.449, usercpu_time_millis: 2000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 48607.4445, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8961, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.4289, scimark_benchmark: 1330.0694, usercpu_time_millis: 271400, usercpu_time_millis_testing: 4130, usercpu_time_millis_training: 267270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9809, kb_relative_information_score: 51162.1391, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 3.3218, recall: 0.9828, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 1327.8711, usercpu_time_millis: 5610, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 4350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8634, kappa: 0.8481, kb_relative_information_score: 48166.6591, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8636, predictive_accuracy: 0.8633, prior_entropy: 3.3218, recall: 0.8633, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5512, scimark_benchmark: 1073.494, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8909, kappa: 0.8787, kb_relative_information_score: 49000.7572, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.8911, predictive_accuracy: 0.8908, prior_entropy: 3.3218, recall: 0.8908, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4552, scimark_benchmark: 1316.0472, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.903, kappa: 0.8922, kb_relative_information_score: 49955.4825, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9031, predictive_accuracy: 0.903, prior_entropy: 3.3218, recall: 0.903, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4401, scimark_benchmark: 1290.1085, usercpu_time_millis: 3080, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9236, kappa: 0.9151, kb_relative_information_score: 51710.581, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.924, predictive_accuracy: 0.9236, prior_entropy: 3.3218, recall: 0.9236, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.4121, scimark_benchmark: 1435.4217, usercpu_time_millis: 9930, usercpu_time_millis_testing: 5340, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.0587, kappa: 0.0268, kb_relative_information_score: 4671.3371, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.6588, predictive_accuracy: 0.1228, prior_entropy: 3.3218, recall: 0.1228, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.3962, scimark_benchmark: 1384.4418, usercpu_time_millis: 23510, usercpu_time_millis_testing: 5530, usercpu_time_millis_training: 17980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9272, kappa: 0.9191, kb_relative_information_score: 51801.7698, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 3.3218, recall: 0.9272, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3941, scimark_benchmark: 1466.6185, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.2208, kappa: 0.1848, kb_relative_information_score: 13073.9896, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.2153, predictive_accuracy: 0.2664, prior_entropy: 3.3218, recall: 0.2664, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.383, root_relative_squared_error: 1.2768, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9055, kappa: 0.8951, kb_relative_information_score: 50650.2478, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9057, predictive_accuracy: 0.9056, prior_entropy: 3.3218, recall: 0.9056, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1505.597, usercpu_time_millis: 110860, usercpu_time_millis_training: 110860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.0318, kappa: -0.0003, kb_relative_information_score: 7.6757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9059, kappa: 0.8955, kb_relative_information_score: 50583.0678, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.906, predictive_accuracy: 0.9059, prior_entropy: 3.3218, recall: 0.9059, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4394, scimark_benchmark: 1054.3694, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 474.1431, build_memory: 3720374154.24, f_measure: 0.9778, kappa: 0.9753, kb_relative_information_score: 52544.9106, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 3.3218, recall: 0.9778, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2475, scimark_benchmark: 945.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 978.0755, build_memory: 297634544.4, f_measure: 0.9786, kappa: 0.9762, kb_relative_information_score: 52552.761, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 3.3218, recall: 0.9786, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2456, scimark_benchmark: 899.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 76.068, build_memory: 805748145.2, f_measure: 0.9616, kappa: 0.9573, kb_relative_information_score: 52154.454, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 3.3218, recall: 0.9616, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2827, scimark_benchmark: 908.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 35.261, build_memory: 1292458508.08, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 52139.1803, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 3.3218, recall: 0.961, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2845, scimark_benchmark: 907.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 23.7577, build_memory: 1829563974.08, f_measure: 0.96, kappa: 0.9555, kb_relative_information_score: 52119.6868, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 3.3218, recall: 0.96, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2875, scimark_benchmark: 940.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 8.8294, build_memory: 1361604359.44, f_measure: 0.9584, kappa: 0.9538, kb_relative_information_score: 52076.5571, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.18, number_of_instances: 56200, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 3.3218, recall: 0.9584, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2935, scimark_benchmark: 916.1243,

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