OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 1914 Supervised Classification postoperative-patient-data 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.5873, kappa: -0.0148, kb_relative_information_score: -566.1319, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 1.0305, recall: 0.7033, relative_absolute_error: 1.5398, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.2599, scimark_benchmark: 1368.9272, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -10.5006, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.0369, scimark_benchmark: 1317.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -10.5006, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.0369, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3608, f_measure: 0.5911, kb_relative_information_score: 11.2193, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0045, scimark_benchmark: 1331.2332, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.387, f_measure: 0.5911, kb_relative_information_score: 10.6765, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.0044, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3561, f_measure: 0.5634, kappa: -0.1005, kb_relative_information_score: -55.8494, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.502, predictive_accuracy: 0.65, prior_entropy: 1.0305, recall: 0.65, relative_absolute_error: 1.0214, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.1236, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3637, f_measure: 0.5696, kappa: -0.0849, kb_relative_information_score: -109.3893, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5277, predictive_accuracy: 0.6367, prior_entropy: 1.0305, recall: 0.6367, relative_absolute_error: 1.072, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.1961, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4283, f_measure: 0.5816, kappa: -0.0459, kb_relative_information_score: 97.9711, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5269, predictive_accuracy: 0.6767, prior_entropy: 1.0305, recall: 0.6767, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.2379, scimark_benchmark: 1319.7801, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.5911, kappa: -0.0276, kb_relative_information_score: 150.334, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5553, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.2343, scimark_benchmark: 996.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4076, f_measure: 0.587, kappa: -0.028, kb_relative_information_score: -61.1948, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.545, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0244, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0816, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3502, f_measure: 0.5779, kappa: -0.0493, kb_relative_information_score: -35.8778, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5001, predictive_accuracy: 0.6844, prior_entropy: 1.0305, recall: 0.6844, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.0691, scimark_benchmark: 1306.5032, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3997, f_measure: 0.6003, kappa: -0.0008, kb_relative_information_score: -46.113, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5786, predictive_accuracy: 0.6911, prior_entropy: 1.0305, recall: 0.6911, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.0694, scimark_benchmark: 765.566, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.413, f_measure: 0.5583, kappa: -0.1118, kb_relative_information_score: -75.5866, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4919, predictive_accuracy: 0.6456, prior_entropy: 1.0305, recall: 0.6456, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.2556, scimark_benchmark: 1299.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.442, f_measure: 0.5441, kappa: -0.1368, kb_relative_information_score: -36.7486, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5141, predictive_accuracy: 0.5822, prior_entropy: 1.0305, recall: 0.5822, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.4055, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: -532.3061, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 1.489, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.2173, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4359, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: 17.6191, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.0116, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: 14.723, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0093, scimark_benchmark: 789.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3704, f_measure: 0.5878, kappa: -0.0263, kb_relative_information_score: -96.3558, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5689, predictive_accuracy: 0.6489, prior_entropy: 1.0305, recall: 0.6489, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.1756, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3619, f_measure: 0.5897, kappa: -0.0256, kb_relative_information_score: -90.4564, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5684, predictive_accuracy: 0.6533, prior_entropy: 1.0305, recall: 0.6533, relative_absolute_error: 1.0602, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.1652, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3661, f_measure: 0.5943, kappa: -0.0159, kb_relative_information_score: -78.0442, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5716, predictive_accuracy: 0.6744, prior_entropy: 1.0305, recall: 0.6744, relative_absolute_error: 1.0484, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.127, scimark_benchmark: 1348.8637, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3809, f_measure: 0.59, kappa: -0.0043, kb_relative_information_score: -21.0111, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5052, predictive_accuracy: 0.7089, prior_entropy: 1.0305, recall: 0.7089, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.0358, scimark_benchmark: 1176.0388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4008, f_measure: 0.5905, kappa: -0.0021, kb_relative_information_score: -3.1069, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5055, predictive_accuracy: 0.71, prior_entropy: 1.0305, recall: 0.71, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.0336, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 1248.0234, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 1006.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, f_measure: 0.6028, kappa: 0.0058, kb_relative_information_score: -0.3471, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5793, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0777, scimark_benchmark: 1384.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, f_measure: 0.6028, kappa: 0.0058, kb_relative_information_score: -0.3471, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5793, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0777, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.403, f_measure: 0.5964, kappa: -0.0127, kb_relative_information_score: -49.9922, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5675, predictive_accuracy: 0.6844, prior_entropy: 1.0305, recall: 0.6844, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0713, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.403, f_measure: 0.5964, kappa: -0.0127, kb_relative_information_score: -49.9922, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5675, predictive_accuracy: 0.6844, prior_entropy: 1.0305, recall: 0.6844, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0713, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3755, f_measure: 0.5876, kappa: -0.0176, kb_relative_information_score: -75.3339, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0488, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.055, scimark_benchmark: 937.5996, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3836, f_measure: 0.5649, kappa: -0.0573, kb_relative_information_score: -142.5146, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5506, predictive_accuracy: 0.6189, prior_entropy: 1.0305, recall: 0.6189, relative_absolute_error: 1.1162, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.2006, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4305, f_measure: 0.4821, kappa: -0.0055, kb_relative_information_score: -518.3721, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.585, predictive_accuracy: 0.4256, prior_entropy: 1.0305, recall: 0.4256, relative_absolute_error: 1.4714, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.2365, scimark_benchmark: 1367.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4365, f_measure: 0.579, kappa: -0.048, kb_relative_information_score: -97.5, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5097, predictive_accuracy: 0.6822, prior_entropy: 1.0305, recall: 0.6822, relative_absolute_error: 1.0814, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3922, root_relative_squared_error: 1.0444, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4598, f_measure: 0.5969, kappa: -0.0138, kb_relative_information_score: -40.833, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5685, predictive_accuracy: 0.6478, prior_entropy: 1.0305, recall: 0.6478, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.1517, scimark_benchmark: 1361.2664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3811, f_measure: 0.5894, kappa: -0.0064, kb_relative_information_score: -20.9822, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.505, predictive_accuracy: 0.7078, prior_entropy: 1.0305, recall: 0.7078, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3882, root_relative_squared_error: 1.034, scimark_benchmark: 1276.5165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 0.4266, f_measure: 0.5911, kb_relative_information_score: -7.0949, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0022, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4146, f_measure: 0.5794, kappa: -0.0408, kb_relative_information_score: -279.3348, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5379, predictive_accuracy: 0.6678, prior_entropy: 1.0305, recall: 0.6678, relative_absolute_error: 1.2363, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.1255, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4225, f_measure: 0.5887, kappa: -0.0134, kb_relative_information_score: -19.7682, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5308, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.0184, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3676, f_measure: 0.5911, kb_relative_information_score: 10.9872, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0046, scimark_benchmark: 880.8372, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3912, f_measure: 0.5911, kb_relative_information_score: 11.1968, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.0043, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3592, f_measure: 0.5894, kappa: -0.0309, kb_relative_information_score: -87.5761, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5625, predictive_accuracy: 0.6589, prior_entropy: 1.0305, recall: 0.6589, relative_absolute_error: 1.0566, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.1551, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3582, f_measure: 0.5906, kappa: -0.0284, kb_relative_information_score: -87.1079, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5629, predictive_accuracy: 0.6633, prior_entropy: 1.0305, recall: 0.6633, relative_absolute_error: 1.0569, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.1462, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4251, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: 7.021, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.0086, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -263.5342, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.2054, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.0745, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4269, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -263.8683, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.2089, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.0741, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4262, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -265.6542, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.212, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4032, root_relative_squared_error: 1.0738, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.425, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -267.3873, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.2144, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4032, root_relative_squared_error: 1.0738, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4255, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -268.3788, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.2159, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4032, root_relative_squared_error: 1.0739, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.314, f_measure: 0.5894, kappa: -0.0064, kb_relative_information_score: -67.556, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.505, predictive_accuracy: 0.7078, prior_entropy: 1.0305, recall: 0.7078, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.0805, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3327, f_measure: 0.5834, kappa: -0.0292, kb_relative_information_score: -75.5989, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5024, predictive_accuracy: 0.6956, prior_entropy: 1.0305, recall: 0.6956, relative_absolute_error: 1.0351, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.1217, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -19.8373, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0078, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.5757, kappa: -0.0571, kb_relative_information_score: -47.7481, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4991, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 1.0399, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.0327, scimark_benchmark: 1312.3073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, f_measure: 0.5873, kappa: -0.0148, kb_relative_information_score: -565.4573, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 1.0305, recall: 0.7033, relative_absolute_error: 1.5391, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.2587, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.5911, kappa: -0.0276, kb_relative_information_score: 150.334, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5553, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.2343, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.586, kappa: -0.0428, kb_relative_information_score: -24.6273, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.546, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0918, scimark_benchmark: 1297.5331, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5725, kappa: -0.049, kb_relative_information_score: -35.8436, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.55, predictive_accuracy: 0.6044, prior_entropy: 1.0305, recall: 0.6044, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.3353, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4358, f_measure: 0.5911, kb_relative_information_score: 13.2904, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0048, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: 13.852, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0019, scimark_benchmark: 1355.7054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4465, f_measure: 0.5477, kappa: -0.1178, kb_relative_information_score: -57.2321, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5278, predictive_accuracy: 0.5711, prior_entropy: 1.0305, recall: 0.5711, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.4241, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.5726, kappa: -0.021, kb_relative_information_score: -40.239, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5681, predictive_accuracy: 0.5789, prior_entropy: 1.0305, recall: 0.5789, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.4111, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, f_measure: 0.5634, kappa: -0.1037, kb_relative_information_score: -72.6707, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5209, predictive_accuracy: 0.6267, prior_entropy: 1.0305, recall: 0.6267, relative_absolute_error: 1.0436, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.1419, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.5757, kappa: -0.0571, kb_relative_information_score: 153.7432, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4991, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.2301, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5862, kappa: -0.0189, kb_relative_information_score: 195.2019, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5036, predictive_accuracy: 0.7011, prior_entropy: 1.0305, recall: 0.7011, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.1888, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: -7.0949, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0022, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3508, build_cpu_time: 0.0651, build_memory: 362677183.6, f_measure: 0.5889, kappa: -0.0085, kb_relative_information_score: -40.283, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5048, predictive_accuracy: 0.7067, prior_entropy: 1.0305, recall: 0.7067, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.0482, scimark_benchmark: 926.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.352, build_cpu_time: 0.1457, build_memory: 999946409.44, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -38.8146, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.0478, scimark_benchmark: 943.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3702, build_cpu_time: 0.0379, build_memory: 157431229.12, f_measure: 0.5773, kappa: -0.0512, kb_relative_information_score: -37.5781, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4998, predictive_accuracy: 0.6833, prior_entropy: 1.0305, recall: 0.6833, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3946, root_relative_squared_error: 1.051, scimark_benchmark: 947.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3698, build_cpu_time: 0.0303, build_memory: 999535335.2, f_measure: 0.5807, kappa: -0.0393, kb_relative_information_score: -38.2753, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5012, predictive_accuracy: 0.69, prior_entropy: 1.0305, recall: 0.69, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0523, scimark_benchmark: 943.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3839, build_cpu_time: 0.0118, build_memory: 3657262458.24, f_measure: 0.5785, kappa: -0.0473, kb_relative_information_score: -37.8418, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5003, predictive_accuracy: 0.6856, prior_entropy: 1.0305, recall: 0.6856, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.0544, scimark_benchmark: 930.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4262, build_cpu_time: 0.0053, build_memory: 3706637136.24, f_measure: 0.5814, kappa: -0.0399, kb_relative_information_score: -13.0959, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5127, predictive_accuracy: 0.6878, prior_entropy: 1.0305, recall: 0.6878, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0469, scimark_benchmark: 946.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -10.5006, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.0369, scimark_benchmark: 928.7652,

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