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OpenML
OpenML
Supervised Classification on prnn_synth

Supervised Classification on prnn_synth

Task 3555 Supervised Classification prnn_synth 896 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 165.3586, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6754, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 142.3366, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8575, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6499, scimark_benchmark: 938.343, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 146.4851, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6501, scimark_benchmark: 912.5006, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8479, kappa: 0.696, kb_relative_information_score: 148.9329, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 158, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8197, kappa: 0.64, kb_relative_information_score: 136.898, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8225, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7752, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 134.9863, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7507, scimark_benchmark: 1376.7478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 168, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 174.9734, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7513, scimark_benchmark: 868.2731, usercpu_time_millis: 1410, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8304, kappa: 0.664, kb_relative_information_score: 166, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8447, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8358, kappa: 0.672, kb_relative_information_score: 143.932, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8378, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7343, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 160, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8485, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 139.3288, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 942.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 139.3288, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 926.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 139.3288, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 936.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 170.5083, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7436, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 178.0184, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7056, scimark_benchmark: 943.2817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 173.4437, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7303, scimark_benchmark: 911.3823, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 172.535, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.735, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 168.8336, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8446, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7576, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 167.177, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6816, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 166.0118, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6631, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 165.1443, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6485, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 164.1766, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6476, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 160.6181, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.643, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8399, kappa: 0.68, kb_relative_information_score: 149.8775, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6584, scimark_benchmark: 943.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 164.9006, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8575, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6724, scimark_benchmark: 930.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, build_cpu_time: 1.1754, build_memory: 1004971668, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 166.1235, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.343, root_relative_squared_error: 0.686, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, build_cpu_time: 2.1431, build_memory: 31544264, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 164.0357, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7061, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, build_cpu_time: 4.3445, build_memory: 990059861.6, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 160.3465, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7543, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 17.0611, build_memory: 124433899.2, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 166.376, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7803, scimark_benchmark: 939.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 22.3192, build_memory: 2445175405.6, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 171.2119, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7886, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 10.045, build_memory: 537719251.2, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 167.2397, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8062, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, build_cpu_time: 5.7196, build_memory: 1067800197.6, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 163.9093, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 2.2887, build_memory: 1637442504.8, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 159.4366, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8344, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, build_cpu_time: 1.0742, build_memory: 855710465.6, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 157.547, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8222, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, build_cpu_time: 0.0516, build_memory: 313274600, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 171.8706, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7389, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.0886, build_memory: 851802060.8, f_measure: 0.8398, kappa: 0.68, kb_relative_information_score: 173.6252, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8414, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7422, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.18, build_memory: 620426189.6, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 179.3445, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7299, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 0.3379, build_memory: 928574593.6, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 174.2462, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7619, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 0.6969, build_memory: 859641028, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 174.1697, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7721, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.0341, build_memory: 133797886.4, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 161.5798, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7487, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.0705, build_memory: 1355458628.8, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 161.5798, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7487, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.0309, build_memory: 2874421085.6, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 161.5798, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7487, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, build_cpu_time: 0.029, build_memory: 1278294360, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 162.6948, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7436, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, build_cpu_time: 0.0207, build_memory: 335329911.2, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 163.2361, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.371, root_relative_squared_error: 0.742, scimark_benchmark: 945.0532,

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