Task
Supervised Classification on analcatdata_boxing2

Supervised Classification on analcatdata_boxing2

Task 4243 Supervised Classification analcatdata_boxing2 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7997, kappa: 0.5965, kb_relative_information_score: 0.3457, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4972, weighted_recall: 0.8008, number_of_instances: 1320, precision: 0.8018, predictive_accuracy: 0.8008, prior_entropy: 0.9959, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.795, scimark_benchmark: 931.1106, unweighted_recall: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7777, kappa: 0.5524, kb_relative_information_score: 0.4604, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4972, weighted_recall: 0.778, number_of_instances: 1320, precision: 0.7778, predictive_accuracy: 0.778, prior_entropy: 0.9959, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8365, scimark_benchmark: 979.7764, unweighted_recall: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8054, kappa: 0.608, kb_relative_information_score: 648.6284, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 0.996, recall: 0.8061, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7999, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7932, kappa: 0.5835, kb_relative_information_score: 405.8855, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7967, predictive_accuracy: 0.7947, prior_entropy: 0.996, recall: 0.7947, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8243, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 592.9301, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7869, predictive_accuracy: 0.7871, prior_entropy: 0.996, recall: 0.7871, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8182, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8249, kappa: 0.6473, kb_relative_information_score: 648.5527, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8269, predictive_accuracy: 0.8258, prior_entropy: 0.996, recall: 0.8258, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7761, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7744, kappa: 0.5457, kb_relative_information_score: 584.4539, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8133, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6764, kappa: 0.3744, kb_relative_information_score: 521.4374, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7458, predictive_accuracy: 0.7, prior_entropy: 0.996, recall: 0.7, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0986, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.792, kappa: 0.5811, kb_relative_information_score: 548.0632, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7923, predictive_accuracy: 0.7924, prior_entropy: 0.996, recall: 0.7924, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7959, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7997, kappa: 0.5965, kb_relative_information_score: 456.3263, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8018, predictive_accuracy: 0.8008, prior_entropy: 0.996, recall: 0.8008, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.795, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8054, kappa: 0.608, kb_relative_information_score: 648.6284, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 0.996, recall: 0.8061, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7999, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7932, kappa: 0.5835, kb_relative_information_score: 405.8855, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7967, predictive_accuracy: 0.7947, prior_entropy: 0.996, recall: 0.7947, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8243, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 592.9301, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7869, predictive_accuracy: 0.7871, prior_entropy: 0.996, recall: 0.7871, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8182, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6764, kappa: 0.3744, kb_relative_information_score: 521.4374, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7458, predictive_accuracy: 0.7, prior_entropy: 0.996, recall: 0.7, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0986, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6764, kappa: 0.3744, kb_relative_information_score: 521.4374, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7458, predictive_accuracy: 0.7, prior_entropy: 0.996, recall: 0.7, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0986, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.792, kappa: 0.5811, kb_relative_information_score: 548.0632, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7923, predictive_accuracy: 0.7924, prior_entropy: 0.996, recall: 0.7924, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7959, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8249, kappa: 0.6473, kb_relative_information_score: 648.5527, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8269, predictive_accuracy: 0.8258, prior_entropy: 0.996, recall: 0.8258, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7761, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7997, kappa: 0.5965, kb_relative_information_score: 456.3263, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8018, predictive_accuracy: 0.8008, prior_entropy: 0.996, recall: 0.8008, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.795, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7891, kappa: 0.5752, kb_relative_information_score: 428.3191, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7909, predictive_accuracy: 0.7902, prior_entropy: 0.996, recall: 0.7902, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8129, scimark_benchmark: 870.2101, usercpu_time_millis: 1180, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7901, kappa: 0.5772, kb_relative_information_score: 431.8108, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7912, predictive_accuracy: 0.7909, prior_entropy: 0.996, recall: 0.7909, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8144, scimark_benchmark: 933.4823, usercpu_time_millis: 370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7974, kappa: 0.5918, kb_relative_information_score: 425.3963, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7996, predictive_accuracy: 0.7985, prior_entropy: 0.996, recall: 0.7985, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8212, scimark_benchmark: 939.7241, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7705, kappa: 0.5378, kb_relative_information_score: 425.4903, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7711, predictive_accuracy: 0.7712, prior_entropy: 0.996, recall: 0.7712, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8258, scimark_benchmark: 921.2615, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7686, kappa: 0.534, kb_relative_information_score: 431.6134, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7687, predictive_accuracy: 0.7689, prior_entropy: 0.996, recall: 0.7689, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8343, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7772, kappa: 0.5517, kb_relative_information_score: 603.5329, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7771, predictive_accuracy: 0.7773, prior_entropy: 0.996, recall: 0.7773, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8346, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7772, kappa: 0.5517, kb_relative_information_score: 603.5329, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7771, predictive_accuracy: 0.7773, prior_entropy: 0.996, recall: 0.7773, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8346, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7772, kappa: 0.5517, kb_relative_information_score: 603.5769, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7771, predictive_accuracy: 0.7773, prior_entropy: 0.996, recall: 0.7773, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8342, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7764, kappa: 0.5501, kb_relative_information_score: 598.4379, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7764, predictive_accuracy: 0.7765, prior_entropy: 0.996, recall: 0.7765, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8292, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.769, kappa: 0.5353, kb_relative_information_score: 548.0778, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.769, predictive_accuracy: 0.7689, prior_entropy: 0.996, recall: 0.7689, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8307, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.3763, kb_relative_information_score: -0.2791, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.2893, predictive_accuracy: 0.5379, prior_entropy: 0.996, recall: 0.5379, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0001, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7877, kappa: 0.5726, kb_relative_information_score: 701.4622, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7915, predictive_accuracy: 0.7894, prior_entropy: 0.996, recall: 0.7894, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8311, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 656.063, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7815, predictive_accuracy: 0.7773, prior_entropy: 0.996, recall: 0.7773, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8201, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7477, kappa: 0.4963, kb_relative_information_score: 521.046, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7686, predictive_accuracy: 0.7545, prior_entropy: 0.996, recall: 0.7545, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8761, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6733, kappa: 0.3671, kb_relative_information_score: 336.0459, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7376, predictive_accuracy: 0.6962, prior_entropy: 0.996, recall: 0.6962, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9361, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.5539, kappa: 0.1543, kb_relative_information_score: 179.0388, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.6163, predictive_accuracy: 0.597, prior_entropy: 0.996, recall: 0.597, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0168, scimark_benchmark: 940.0055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7889, kappa: 0.5748, kb_relative_information_score: 590.3857, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.996, recall: 0.7894, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7886, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7997, kappa: 0.5965, kb_relative_information_score: 456.3263, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8018, predictive_accuracy: 0.8008, prior_entropy: 0.996, recall: 0.8008, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.795, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7551, kappa: 0.5077, kb_relative_information_score: 439.1314, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7626, predictive_accuracy: 0.7583, prior_entropy: 0.996, recall: 0.7583, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8534, scimark_benchmark: 1317.7919, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7932, kappa: 0.5835, kb_relative_information_score: 405.8855, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7967, predictive_accuracy: 0.7947, prior_entropy: 0.996, recall: 0.7947, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8243, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8054, kappa: 0.608, kb_relative_information_score: 648.6284, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 0.996, recall: 0.8061, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7999, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 592.9301, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7869, predictive_accuracy: 0.7871, prior_entropy: 0.996, recall: 0.7871, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8182, scimark_benchmark: 1324.6608, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7855, kappa: 0.568, kb_relative_information_score: 562.4415, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7891, predictive_accuracy: 0.7871, prior_entropy: 0.996, recall: 0.7871, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8322, scimark_benchmark: 1324.5762, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.792, kappa: 0.5811, kb_relative_information_score: 548.0632, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7923, predictive_accuracy: 0.7924, prior_entropy: 0.996, recall: 0.7924, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7959, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 1349.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7889, kappa: 0.5748, kb_relative_information_score: 590.3857, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.996, recall: 0.7894, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7886, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7997, kappa: 0.5965, kb_relative_information_score: 456.3263, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8018, predictive_accuracy: 0.8008, prior_entropy: 0.996, recall: 0.8008, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.795, scimark_benchmark: 1296.9979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8054, kappa: 0.608, kb_relative_information_score: 648.6284, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 0.996, recall: 0.8061, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7999, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6764, kappa: 0.3744, kb_relative_information_score: 521.4374, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7458, predictive_accuracy: 0.7, prior_entropy: 0.996, recall: 0.7, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0986, scimark_benchmark: 1292.5208, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7663, kappa: 0.5296, kb_relative_information_score: 503.1682, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4972, number_of_instances: 1320, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.996, recall: 0.7667, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8198, scimark_benchmark: 1260.1387,

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