OpenML
Supervised Classification on sylva_prior

Supervised Classification on sylva_prior

Task 4598 Supervised Classification sylva_prior 127 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9919, kappa: 0.9302, kb_relative_information_score: 114471.2486, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.992, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3614, scimark_benchmark: 972.587, usercpu_time_millis: 17970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9211, kb_relative_information_score: 117489.2266, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 0.3338, recall: 0.9907, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.086, root_relative_squared_error: 0.358, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 942.2392, usercpu_time_millis: 1760, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9919, kappa: 0.9302, kb_relative_information_score: 114471.2486, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.992, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3614, scimark_benchmark: 901.6243, usercpu_time_millis: 13830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9211, kb_relative_information_score: 117489.2266, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 0.3338, recall: 0.9907, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.086, root_relative_squared_error: 0.358, scimark_benchmark: 934.695, usercpu_time_millis: 26510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 26480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9944, kappa: 0.9519, kb_relative_information_score: 128844.0428, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.271, scimark_benchmark: 903.2737, usercpu_time_millis: 1141800, usercpu_time_millis_testing: 334080, usercpu_time_millis_training: 807720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9944, kappa: 0.9516, kb_relative_information_score: 128678.4909, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.2718, scimark_benchmark: 1051.249, usercpu_time_millis: 1174480, usercpu_time_millis_testing: 232660, usercpu_time_millis_training: 941820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9944, kappa: 0.9521, kb_relative_information_score: 128619.0434, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2726, scimark_benchmark: 938.1282, usercpu_time_millis: 308220, usercpu_time_millis_testing: 84430, usercpu_time_millis_training: 223790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9943, kappa: 0.9505, kb_relative_information_score: 128105.3832, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.2775, scimark_benchmark: 891.6381, usercpu_time_millis: 144380, usercpu_time_millis_testing: 34500, usercpu_time_millis_training: 109880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9942, kappa: 0.95, kb_relative_information_score: 126903.8443, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2828, scimark_benchmark: 905.3417, usercpu_time_millis: 79370, usercpu_time_millis_testing: 18190, usercpu_time_millis_training: 61180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 125782.8388, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3693, scimark_benchmark: 889.4922, usercpu_time_millis: 4690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 125782.8388, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3693, scimark_benchmark: 938.3115, usercpu_time_millis: 3840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 125782.8388, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3693, scimark_benchmark: 929.0296, usercpu_time_millis: 5450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 125782.8388, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3693, scimark_benchmark: 929.0296, usercpu_time_millis: 3040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9911, kappa: 0.9235, kb_relative_information_score: 125782.8388, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.3693, scimark_benchmark: 936.1714, usercpu_time_millis: 4170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9877, kappa: 0.8933, kb_relative_information_score: 110038.5096, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9877, predictive_accuracy: 0.9878, prior_entropy: 0.3338, recall: 0.9878, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4088, scimark_benchmark: 929.0296, usercpu_time_millis: 1340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9918, kappa: 0.9282, kb_relative_information_score: 129237.9536, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.3569, scimark_benchmark: 938.3115, usercpu_time_millis: 52890, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 52760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.991, kappa: 0.9226, kb_relative_information_score: 127603.349, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3801, scimark_benchmark: 936.1714, usercpu_time_millis: 29890, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 29830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9891, kappa: 0.9047, kb_relative_information_score: 124549.4299, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.989, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4098, scimark_benchmark: 929.0296, usercpu_time_millis: 18020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 17990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9865, kappa: 0.8841, kb_relative_information_score: 116708.4595, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 0.3338, recall: 0.9864, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.461, scimark_benchmark: 940.0055, usercpu_time_millis: 11650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9816, kappa: 0.8452, kb_relative_information_score: 108578.6045, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9824, predictive_accuracy: 0.9812, prior_entropy: 0.3338, recall: 0.9812, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.5524, scimark_benchmark: 938.3115, usercpu_time_millis: 5100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 34692.3072, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 922.8232, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9929, kappa: 0.9387, kb_relative_information_score: 129520.3194, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3437, scimark_benchmark: 922.8232, usercpu_time_millis: 4020, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9927, kappa: 0.9372, kb_relative_information_score: 128989.7625, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.078, root_relative_squared_error: 0.3245, scimark_benchmark: 938.3115, usercpu_time_millis: 302890, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 302810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9087, kb_relative_information_score: -21220.5087, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.179, root_relative_squared_error: 0.7446, scimark_benchmark: 933.0918, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 934.929, usercpu_time_millis: 1570, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9919, kappa: 0.9302, kb_relative_information_score: 114471.2486, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.992, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3614, scimark_benchmark: 930.0565, usercpu_time_millis: 11780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9937, kappa: 0.9453, kb_relative_information_score: 131968.5289, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3129, scimark_benchmark: 934.7585, usercpu_time_millis: 6310, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 4710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9211, kb_relative_information_score: 117489.2266, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 0.3338, recall: 0.9907, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.086, root_relative_squared_error: 0.358, scimark_benchmark: 934.7585, usercpu_time_millis: 31140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 31130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 915.9028, usercpu_time_millis: 2100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 1312.8274, usercpu_time_millis: 780, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 1336.0954, usercpu_time_millis: 860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9825, kappa: 0.8472, kb_relative_information_score: 112263.6261, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9824, predictive_accuracy: 0.9826, prior_entropy: 0.3338, recall: 0.9826, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5101, scimark_benchmark: 1371.4836, usercpu_time_millis: 5854830, usercpu_time_millis_testing: 5854830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9951, kappa: 0.9578, kb_relative_information_score: 130366.2755, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 0.3338, recall: 0.9951, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2608, scimark_benchmark: 1310.3168, usercpu_time_millis: 82180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 82140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9923, kappa: 0.9325, kb_relative_information_score: 103773.4222, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.3338, recall: 0.9923, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3596, scimark_benchmark: 885.7425, usercpu_time_millis: 3000, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9946, kappa: 0.9532, kb_relative_information_score: 129229.8097, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.3338, recall: 0.9945, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2731, scimark_benchmark: 1349.1028, usercpu_time_millis: 8870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9927, kappa: 0.9372, kb_relative_information_score: 124646.5523, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3163, scimark_benchmark: 1319.4881, usercpu_time_millis: 7420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9882, kappa: 0.8981, kb_relative_information_score: 121900.0992, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.3338, recall: 0.9882, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4416, scimark_benchmark: 1326.014, usercpu_time_millis: 7320, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9923, kappa: 0.9339, kb_relative_information_score: 127589.2661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9924, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3465, scimark_benchmark: 1413.089, usercpu_time_millis: 2360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9769, kappa: 0.817, kb_relative_information_score: 95924.4261, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9817, predictive_accuracy: 0.9751, prior_entropy: 0.3338, recall: 0.9751, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6208, scimark_benchmark: 1358.4523, usercpu_time_millis: 1370, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9769, kappa: 0.8166, kb_relative_information_score: 95872.1147, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9817, predictive_accuracy: 0.975, prior_entropy: 0.3338, recall: 0.975, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.6216, scimark_benchmark: 1319.9329, usercpu_time_millis: 1270, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9948, kappa: 0.9551, kb_relative_information_score: 134508.3012, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9948, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3019, scimark_benchmark: 1339.7143, usercpu_time_millis: 5910, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9947, kappa: 0.9543, kb_relative_information_score: 132294.3712, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.2678, scimark_benchmark: 1323.976, usercpu_time_millis: 4900, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9574, kappa: 0.69, kb_relative_information_score: -994001.834, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9722, predictive_accuracy: 0.9512, prior_entropy: 0.3338, recall: 0.9512, relative_absolute_error: 3.4391, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.401, root_relative_squared_error: 1.6683, scimark_benchmark: 944.4621, usercpu_time_millis: 690, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: -172.5421, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9087, kb_relative_information_score: 44.2085, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 2050, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9087, kb_relative_information_score: 1630.837, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8129, scimark_benchmark: 1355.9413, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9883, kappa: 0.8986, kb_relative_information_score: 123087.7351, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4502, scimark_benchmark: 932.0242, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9864, kappa: 0.8855, kb_relative_information_score: 114845.0401, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9871, predictive_accuracy: 0.9861, prior_entropy: 0.3338, recall: 0.9861, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4887, scimark_benchmark: 918.6005, usercpu_time_millis: 1170, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.993, kappa: 0.9386, kb_relative_information_score: 106409.3207, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9929, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.3492, scimark_benchmark: 1313.5726, usercpu_time_millis: 6730, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9945, kappa: 0.9526, kb_relative_information_score: 131917.8742, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.3338, recall: 0.9945, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2755, scimark_benchmark: 1334.8495, usercpu_time_millis: 26050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 26030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.993, kappa: 0.9401, kb_relative_information_score: 125673.5478, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3068, scimark_benchmark: 1326.6565, usercpu_time_millis: 73630, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 73420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.993, kappa: 0.9399, kb_relative_information_score: 125644.2354, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.074, root_relative_squared_error: 0.3077, scimark_benchmark: 1360.5691, usercpu_time_millis: 32830, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 32740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9087, kb_relative_information_score: -1127910.0978, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 4.2276, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.4886, root_relative_squared_error: 2.0332, scimark_benchmark: 1339.4189, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9932, kappa: 0.9418, kb_relative_information_score: 123776.8264, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.074, root_relative_squared_error: 0.308, scimark_benchmark: 1335.4072, usercpu_time_millis: 5000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9929, kappa: 0.9391, kb_relative_information_score: 125522.644, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3088, scimark_benchmark: 939.449, usercpu_time_millis: 25640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 25580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9929, kappa: 0.9392, kb_relative_information_score: 125367.1329, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.3113, scimark_benchmark: 1315.395, usercpu_time_millis: 10120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9902, kappa: 0.9153, kb_relative_information_score: 121540.6524, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.3338, recall: 0.9902, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3832, scimark_benchmark: 1336.2509, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9928, kappa: 0.9376, kb_relative_information_score: 129040.9066, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.3101, scimark_benchmark: 1304.9611, usercpu_time_millis: 38080, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 38000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9919, kappa: 0.9304, kb_relative_information_score: 127246.7892, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.3282, scimark_benchmark: 1372.2145, usercpu_time_millis: 16200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 16150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.991, kappa: 0.9222, kb_relative_information_score: 124556.1059, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 0.3338, recall: 0.9909, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.352, scimark_benchmark: 908.2231, usercpu_time_millis: 12310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 12270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9901, kappa: 0.9148, kb_relative_information_score: 118677.2941, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.3338, recall: 0.99, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3813, scimark_benchmark: 1336.3256, usercpu_time_millis: 11370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9894, kappa: 0.909, kb_relative_information_score: 109509.9829, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.9895, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.4292, scimark_benchmark: 825.5282, usercpu_time_millis: 5930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9927, kappa: 0.9381, kb_relative_information_score: 122060.3695, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 143950, precision: 0.993, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.3239, scimark_benchmark: 1313.9994, usercpu_time_millis: 106470, usercpu_time_millis_testing: 106470,

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