Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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1271 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.98, kappa: 0.971, kb_relative_information_score: 11988.8743, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9798, predictive_accuracy: 0.9802, prior_entropy: 1.7176, recall: 0.9802, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.094, root_relative_squared_error: 0.2543, scimark_benchmark: 947.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9029, kappa: 0.8715, kb_relative_information_score: 10637.2881, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.914, predictive_accuracy: 0.9133, prior_entropy: 1.7176, recall: 0.9133, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4401, scimark_benchmark: 947.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9296, kappa: 0.9105, kb_relative_information_score: 11503.504, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9395, prior_entropy: 1.7176, recall: 0.9395, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3709, scimark_benchmark: 948.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9306, kappa: 0.8982, kb_relative_information_score: 11631.5835, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1.7176, recall: 0.9306, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4211, scimark_benchmark: 948.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9855, kappa: 0.9789, kb_relative_information_score: 12152.9401, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9855, predictive_accuracy: 0.9856, prior_entropy: 1.7176, recall: 0.9856, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12716.2165, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.17, scimark_benchmark: 949.2377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 911.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9574, kappa: 0.9399, kb_relative_information_score: 12041.0156, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9582, predictive_accuracy: 0.9592, prior_entropy: 1.7176, recall: 0.9592, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2998, scimark_benchmark: 947.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 910.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9914, kb_relative_information_score: 12872.4242, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.994, predictive_accuracy: 0.9941, prior_entropy: 1.7176, recall: 0.9941, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.0736, scimark_benchmark: 947.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4083.8332, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 945.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 947.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.386, kappa: 0.2487, kb_relative_information_score: 801.4171, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.3298, predictive_accuracy: 0.4981, prior_entropy: 1.7176, recall: 0.4981, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.993, scimark_benchmark: 946.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9309, kappa: 0.899, kb_relative_information_score: 2787.3364, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9309, predictive_accuracy: 0.9311, prior_entropy: 1.7176, recall: 0.9311, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8671, scimark_benchmark: 948.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.993, kb_relative_information_score: 12518.3781, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 1.7176, recall: 0.9952, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1522, scimark_benchmark: 944.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2964.8622, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.856, scimark_benchmark: 949.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 947.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9868, kappa: 0.9806, kb_relative_information_score: 12703.8378, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 1.7176, recall: 0.9867, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1702, scimark_benchmark: 945.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 944.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9246, kappa: 0.8897, kb_relative_information_score: 11320.0683, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9246, predictive_accuracy: 0.9248, prior_entropy: 1.7176, recall: 0.9248, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3938, scimark_benchmark: 948.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9252, kappa: 0.8906, kb_relative_information_score: 11248.6571, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9253, predictive_accuracy: 0.9255, prior_entropy: 1.7176, recall: 0.9255, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3951, scimark_benchmark: 947.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 949.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 949.1861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.92, kappa: 0.8961, kb_relative_information_score: 11392.4105, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9244, predictive_accuracy: 0.9298, prior_entropy: 1.7176, recall: 0.9298, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3861, scimark_benchmark: 910.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9754, kappa: 0.9647, kb_relative_information_score: 12210.8396, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9752, predictive_accuracy: 0.9759, prior_entropy: 1.7176, recall: 0.9759, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2387, scimark_benchmark: 940.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 949.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9421, kappa: 0.9157, kb_relative_information_score: 11698.7927, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9419, predictive_accuracy: 0.9425, prior_entropy: 1.7176, recall: 0.9425, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3457, scimark_benchmark: 946.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12716.2165, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.17, scimark_benchmark: 947.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10149.285, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.3963, scimark_benchmark: 944.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9981, kappa: 0.9974, kb_relative_information_score: 2959.8299, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9981, predictive_accuracy: 0.9982, prior_entropy: 1.7176, recall: 0.9982, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 947.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 945.1702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 948.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.954, kappa: 0.9345, kb_relative_information_score: 12035.0875, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9541, predictive_accuracy: 0.9555, prior_entropy: 1.7176, recall: 0.9555, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4083.8332, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 946.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9981, kappa: 0.9974, kb_relative_information_score: 2959.8299, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9981, predictive_accuracy: 0.9982, prior_entropy: 1.7176, recall: 0.9982, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 948.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9769, kappa: 0.9667, kb_relative_information_score: 12219.2603, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9767, predictive_accuracy: 0.9773, prior_entropy: 1.7176, recall: 0.9773, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2355, scimark_benchmark: 947.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 910.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 948.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9256, kappa: 0.8912, kb_relative_information_score: 11214.0125, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9258, predictive_accuracy: 0.9259, prior_entropy: 1.7176, recall: 0.9259, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3971, scimark_benchmark: 946.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9833, kb_relative_information_score: 12029.9421, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9883, predictive_accuracy: 0.9886, prior_entropy: 1.7176, recall: 0.9886, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2337, scimark_benchmark: 944.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 946.3369,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9461, kappa: 0.9347, kb_relative_information_score: 8617.7149, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9564, predictive_accuracy: 0.9559, prior_entropy: 1.7176, recall: 0.9559, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5257, scimark_benchmark: 1500.677, usercpu_time_millis: 6490, usercpu_time_millis_testing: 6490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.968, kappa: 0.9536, kb_relative_information_score: 11784.6273, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9678, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2832, scimark_benchmark: 1457.8333, usercpu_time_millis: 2260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.0223, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1464.8475, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8928, kappa: 0.8547, kb_relative_information_score: 10149.4206, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9043, predictive_accuracy: 0.9019, prior_entropy: 1.7176, recall: 0.9019, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791, scimark_benchmark: 1424.4595, usercpu_time_millis: 470, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.97, kappa: 0.9593, kb_relative_information_score: 10033.4904, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9728, predictive_accuracy: 0.9724, prior_entropy: 1.7176, recall: 0.9724, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4096, scimark_benchmark: 1549.8576, usercpu_time_millis: 6890, usercpu_time_millis_testing: 6890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9568, kappa: 0.9532, kb_relative_information_score: 8524.9884, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9699, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5214, scimark_benchmark: 1533.8382, usercpu_time_millis: 200320, usercpu_time_millis_testing: 200320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9771, kappa: 0.9669, kb_relative_information_score: 11971.7557, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 1.7176, recall: 0.9775, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2582, scimark_benchmark: 1490.0057, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 1557.8117, usercpu_time_millis: 17850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1512.872, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417, scimark_benchmark: 1390.0363, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1539.5894, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1469.9047, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 1576.2375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1474.337, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9598, kappa: 0.942, kb_relative_information_score: 12147.2096, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9593, predictive_accuracy: 0.9605, prior_entropy: 1.7176, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2843, scimark_benchmark: 1468.7064, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1345.4452, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 1428.0715, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118, scimark_benchmark: 1508.9226, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9736, kappa: 0.9621, kb_relative_information_score: 12271.0668, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9735, predictive_accuracy: 0.9742, prior_entropy: 1.7176, recall: 0.9742, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2405, scimark_benchmark: 1446.2428, usercpu_time_millis: 330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9693, kappa: 0.9554, kb_relative_information_score: 12249.5071, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9693, predictive_accuracy: 0.9696, prior_entropy: 1.7176, recall: 0.9696, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2596, scimark_benchmark: 1479.9217, usercpu_time_millis: 2530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12785.4891, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1466, scimark_benchmark: 1418.611, usercpu_time_millis: 170, usercpu_time_millis_training: 170,

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