OpenML
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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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: 941.3847,
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: 941.3847,
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: 937.5117, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
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: 943.1009, 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: 819.5729,
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: 935.2002,
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: 936.2574, 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: 859.5223, usercpu_time_millis: 40, usercpu_time_millis_testing: 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: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, 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: 938.1282,
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: 930.404, usercpu_time_millis: 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: 930.404,
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: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7697, kappa: 0.2317, kb_relative_information_score: 25.33, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7752, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8784, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 730.6551, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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: 945.6228,
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: 936.3213, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
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: 901.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 45.08, mean_absolute_error: 0.219, 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: 0.664, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.8207, scimark_benchmark: 933.3455, usercpu_time_millis: 2020, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 45.3859, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8213, scimark_benchmark: 903.2737, usercpu_time_millis: 880, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8468, kappa: 0.5193, kb_relative_information_score: 45.6339, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8444, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8193, scimark_benchmark: 930.2337, usercpu_time_millis: 610, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8446, kappa: 0.5073, kb_relative_information_score: 48.6532, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8424, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.81, scimark_benchmark: 939.7883, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8524, kappa: 0.5345, kb_relative_information_score: 42.5037, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8504, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8376, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8452, kappa: 0.5274, kb_relative_information_score: 57.169, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9158, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8452, kappa: 0.5274, kb_relative_information_score: 57.169, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9158, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8452, kappa: 0.5274, kb_relative_information_score: 57.169, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9158, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8452, kappa: 0.5274, kb_relative_information_score: 57.169, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9158, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8172, kappa: 0.4356, kb_relative_information_score: 49.2293, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8153, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9528, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, 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: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 61.7452, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9824, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 61.2806, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9705, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 41.9528, mean_absolute_error: 0.2091, 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: 0.6341, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0678, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 46.4298, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.0434, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7597, kappa: 0.2308, kb_relative_information_score: 31.9487, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7511, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0907, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: -0.9182, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8694, scimark_benchmark: 933.0918, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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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: 1310.3168,
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: 1333.6736, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, 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: 1331.2559,
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: 1342.8584,
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: 1310.6554,
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: 1339.2472, usercpu_time_millis: 140, 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: 1350.2591, 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: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1333.0982, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, 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: 1313.11,
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: 1337.1928,
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: 1326.2019,
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: 1331.1314,
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: 1317.5348,
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: 1306.9281, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
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: 1320.8283, 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: 1310.3168, 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: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7697, kappa: 0.2317, kb_relative_information_score: 25.33, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7752, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8784, scimark_benchmark: 1329.5628, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7697, kappa: 0.2317, kb_relative_information_score: 25.33, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7752, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8784, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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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