Task
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1345.0202, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1316.5396, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1308.6872, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1324.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1373.7859, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8581, kappa: 0.5668, kb_relative_information_score: 63.469, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8271, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1352.06, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1347.993, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1348.2476, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1297.2338, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.854, kappa: 0.5623, kb_relative_information_score: 64.2501, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8572, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8418, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.7653, kappa: 0.2353, kb_relative_information_score: 10.8568, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7571, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.983, scimark_benchmark: 1308.3124, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 59.9342, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9466, scimark_benchmark: 892.0148, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7851, kappa: 0.2893, kb_relative_information_score: 28.9022, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7871, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8621, scimark_benchmark: 892.0148, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7287, kappa: 0.0861, kb_relative_information_score: 20.7297, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7265, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.8924, scimark_benchmark: 1345.7582, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7696, kappa: 0.2556, kb_relative_information_score: 17.9703, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7616, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9547, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7755, kappa: 0.3187, kb_relative_information_score: 24.1044, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7768, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0034, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434, scimark_benchmark: 926.6704, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1347.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7703, kappa: 0.2403, kb_relative_information_score: 21.8417, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7676, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0386, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7835, kappa: 0.3007, kb_relative_information_score: 27.2891, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7773, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.0222, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7199, kappa: 0.0554, kb_relative_information_score: 17.2666, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7174, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9069, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7161, kappa: 0.0429, kb_relative_information_score: 18.0126, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7026, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9084, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.828, kappa: 0.4632, kb_relative_information_score: 61.2958, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8252, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9114, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8302, kappa: 0.4759, kb_relative_information_score: 48.5603, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8285, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9053, scimark_benchmark: 895.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7646, kappa: 0.243, kb_relative_information_score: 19.1504, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7561, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.002, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 54.1259, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9803, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 58.6707, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9272, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 48.0793, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9402, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7987, kappa: 0.3653, kb_relative_information_score: 47.7, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.794, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9254, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8009, kappa: 0.3627, kb_relative_information_score: 43.3207, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.796, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.922, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 48.1424, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.8736, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 39.2616, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9365, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8194, kappa: 0.4487, kb_relative_information_score: 55.7274, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8194, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.425, root_relative_squared_error: 1.05, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 55.3531, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.848, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8433, kappa: 0.5163, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1330.0694, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1073.494, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7569, kappa: 0.2453, kb_relative_information_score: 30.4493, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.753, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0895, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 15.0663, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0133, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.7407, kappa: 0.1423, kb_relative_information_score: 9.2971, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7288, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0698, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs