OpenML
Supervised Classification on mv

Supervised Classification on mv

Task 3745 Supervised Classification mv 352 runs submitted
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  • study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 941.3847, usercpu_time_millis: 480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9924, kappa: 0.9842, kb_relative_information_score: 39391.3013, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9729, recall: 0.9924, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1661, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 40093.9342, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1013, scimark_benchmark: 943.1009, usercpu_time_millis: 13550, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 12630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9849, kappa: 0.9685, kb_relative_information_score: 39104.7064, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9729, recall: 0.9849, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2117, scimark_benchmark: 819.5729, usercpu_time_millis: 470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9793, kappa: 0.9569, kb_relative_information_score: 37587.1155, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9729, recall: 0.9793, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2432, scimark_benchmark: 901.6243, usercpu_time_millis: 3090, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 930.404, usercpu_time_millis: 1156860, usercpu_time_millis_testing: 226730, usercpu_time_millis_training: 930130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 919.3788, usercpu_time_millis: 3026560, usercpu_time_millis_testing: 731100, usercpu_time_millis_training: 2295460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 930.404, usercpu_time_millis: 500, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9945, kb_relative_information_score: 40372.2471, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9729, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, scimark_benchmark: 933.3455, usercpu_time_millis: 2940, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 945.6228, usercpu_time_millis: 620, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9924, kappa: 0.9842, kb_relative_information_score: 39391.3013, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9729, recall: 0.9924, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1661, scimark_benchmark: 1051.249, usercpu_time_millis: 24520, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 24190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 40093.9342, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1013, scimark_benchmark: 1051.249, usercpu_time_millis: 28740, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 27180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9956, kb_relative_information_score: 39581.0685, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9729, recall: 0.9979, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1269, scimark_benchmark: 931.7096, usercpu_time_millis: 525680, usercpu_time_millis_testing: 99460, usercpu_time_millis_training: 426220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9938, kb_relative_information_score: 39545.0404, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.9729, recall: 0.997, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1308, scimark_benchmark: 938.988, usercpu_time_millis: 279530, usercpu_time_millis_testing: 25490, usercpu_time_millis_training: 254040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9933, kb_relative_information_score: 39534.2423, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.9729, recall: 0.9968, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.1335, scimark_benchmark: 938.8535, usercpu_time_millis: 151450, usercpu_time_millis_testing: 12360, usercpu_time_millis_training: 139090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9914, kb_relative_information_score: 39435.4564, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9729, recall: 0.9959, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1416, scimark_benchmark: 928.7131, usercpu_time_millis: 62740, usercpu_time_millis_testing: 5850, usercpu_time_millis_training: 56890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9953, kappa: 0.9903, kb_relative_information_score: 39615.3663, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9729, recall: 0.9953, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1386, scimark_benchmark: 936.7184, usercpu_time_millis: 44900, usercpu_time_millis_testing: 3050, usercpu_time_millis_training: 41850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9972, kappa: 0.9941, kb_relative_information_score: 40306.5446, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9729, recall: 0.9972, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1004, scimark_benchmark: 929.0296, usercpu_time_millis: 21490, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 21060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9925, kb_relative_information_score: 40198.7506, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9729, recall: 0.9964, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1105, scimark_benchmark: 929.0296, usercpu_time_millis: 15790, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 15470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9878, kb_relative_information_score: 39871.8678, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9729, recall: 0.9941, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1399, scimark_benchmark: 936.7184, usercpu_time_millis: 7010, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9896, kappa: 0.9783, kb_relative_information_score: 39278.8827, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9729, recall: 0.9896, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1825, scimark_benchmark: 926.5859, usercpu_time_millis: 3470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9745, kappa: 0.947, kb_relative_information_score: 38019.4143, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 0.9729, recall: 0.9744, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2537, scimark_benchmark: 929.0296, usercpu_time_millis: 1830, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9841, kappa: 0.967, kb_relative_information_score: 38193.1736, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.9729, recall: 0.9841, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2285, scimark_benchmark: 936.1714, usercpu_time_millis: 1000, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9813, kappa: 0.9612, kb_relative_information_score: 39120.9705, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9815, predictive_accuracy: 0.9813, prior_entropy: 0.9729, recall: 0.9813, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2368, scimark_benchmark: 936.1714, usercpu_time_millis: 30390, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 30130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9796, kappa: 0.9576, kb_relative_information_score: 38522.2143, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9729, recall: 0.9796, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2727, scimark_benchmark: 936.1714, usercpu_time_millis: 16020, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 15880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9398, kappa: 0.8764, kb_relative_information_score: 35745.6313, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9447, predictive_accuracy: 0.9394, prior_entropy: 0.9729, recall: 0.9394, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4398, scimark_benchmark: 938.3115, usercpu_time_millis: 7290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9251, kappa: 0.8436, kb_relative_information_score: 34485.5509, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9261, predictive_accuracy: 0.9256, prior_entropy: 0.9729, recall: 0.9256, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4193, scimark_benchmark: 926.5859, usercpu_time_millis: 5300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9369, kappa: 0.8705, kb_relative_information_score: 33345.658, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9424, predictive_accuracy: 0.9364, prior_entropy: 0.9729, recall: 0.9364, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5289, scimark_benchmark: 935.6052, usercpu_time_millis: 1850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4458, kb_relative_information_score: 6031.3739, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.3559, predictive_accuracy: 0.5966, prior_entropy: 0.9729, recall: 0.5966, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2947, scimark_benchmark: 938.3115, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9973, kappa: 0.9943, kb_relative_information_score: 40510.6168, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9729, recall: 0.9973, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1036, scimark_benchmark: 942.6192, usercpu_time_millis: 1570, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9961, kappa: 0.9919, kb_relative_information_score: 38218.9007, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.9729, recall: 0.9961, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1559, scimark_benchmark: 935.8024, usercpu_time_millis: 481420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 481360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7921, kappa: 0.5987, kb_relative_information_score: 17372.432, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.8524, predictive_accuracy: 0.792, prior_entropy: 0.9729, recall: 0.792, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7603, scimark_benchmark: 933.0918, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9793, kappa: 0.9569, kb_relative_information_score: 37587.1155, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9729, recall: 0.9793, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2432, scimark_benchmark: 930.0565, usercpu_time_millis: 2630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 1333.202, usercpu_time_millis: 480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 1325.8468, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 1338.5214, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9945, kb_relative_information_score: 40372.2471, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9729, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, scimark_benchmark: 1324.7884, usercpu_time_millis: 1970, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 1317.5857, usercpu_time_millis: 2065490, usercpu_time_millis_testing: 507170, usercpu_time_millis_training: 1558320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 1310.6554, usercpu_time_millis: 2084900, usercpu_time_millis_testing: 485460, usercpu_time_millis_training: 1599440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9849, kappa: 0.9685, kb_relative_information_score: 39104.7064, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9729, recall: 0.9849, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2117, scimark_benchmark: 1340.5125, usercpu_time_millis: 500, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9945, kb_relative_information_score: 40372.2471, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9729, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, scimark_benchmark: 1310.6554, usercpu_time_millis: 1920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9924, kappa: 0.9842, kb_relative_information_score: 39391.3013, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9729, recall: 0.9924, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1661, scimark_benchmark: 1374.9737, usercpu_time_millis: 13450, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 13190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9849, kappa: 0.9685, kb_relative_information_score: 39104.7064, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9729, recall: 0.9849, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2117, scimark_benchmark: 1343.7262, usercpu_time_millis: 410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 1417.3093, usercpu_time_millis: 2135310, usercpu_time_millis_testing: 511690, usercpu_time_millis_training: 1623620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9742, kappa: 0.9464, kb_relative_information_score: 37047.1823, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9744, predictive_accuracy: 0.9741, prior_entropy: 0.9729, recall: 0.9741, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2571, scimark_benchmark: 1317.071, usercpu_time_millis: 9350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9357, kappa: 0.8682, kb_relative_information_score: 33725.153, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9417, predictive_accuracy: 0.9352, prior_entropy: 0.9729, recall: 0.9352, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4083, scimark_benchmark: 1337.9552, usercpu_time_millis: 530, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9742, kappa: 0.9464, kb_relative_information_score: 37047.1823, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9744, predictive_accuracy: 0.9741, prior_entropy: 0.9729, recall: 0.9741, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2571, scimark_benchmark: 1350.4825, usercpu_time_millis: 18200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 18180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9849, kappa: 0.9685, kb_relative_information_score: 39104.7064, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9729, recall: 0.9849, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2117, scimark_benchmark: 1310.6554, usercpu_time_millis: 320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9793, kappa: 0.9569, kb_relative_information_score: 37587.1155, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9729, recall: 0.9793, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2432, scimark_benchmark: 1310.3168, usercpu_time_millis: 2370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9742, kappa: 0.9464, kb_relative_information_score: 37047.1823, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9744, predictive_accuracy: 0.9741, prior_entropy: 0.9729, recall: 0.9741, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2571, scimark_benchmark: 1316.5668, usercpu_time_millis: 19240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 19210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7334, kappa: 0.4418, kb_relative_information_score: 18859.8281, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7508, predictive_accuracy: 0.7456, prior_entropy: 0.9729, recall: 0.7456, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0282, scimark_benchmark: 1337.1928, usercpu_time_millis: 2161260, usercpu_time_millis_testing: 509240, usercpu_time_millis_training: 1652020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 1354.7111, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9945, kb_relative_information_score: 40372.2471, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9729, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, scimark_benchmark: 1336.4564, usercpu_time_millis: 2210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9924, kappa: 0.9842, kb_relative_information_score: 39391.3013, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9729, recall: 0.9924, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1661, scimark_benchmark: 1344.0499, usercpu_time_millis: 13510, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 13260,

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