Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 244 Supervised Classification mfeat-fourier 307 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8257, kappa: 0.808, kb_relative_information_score: 454.6649, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8298, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7049, kappa: 0.7003, kb_relative_information_score: 472.7514, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7374, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6422, scimark_benchmark: 851.2074, usercpu_time_millis: 8870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 941.6675, usercpu_time_millis: 16830, usercpu_time_millis_testing: 7490, usercpu_time_millis_training: 9340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7874, kappa: 0.7657, kb_relative_information_score: 524.3238, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6271, scimark_benchmark: 941.6675, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 941.6675, usercpu_time_millis: 540, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 938.191, usercpu_time_millis: 750, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7763, kappa: 0.7506, kb_relative_information_score: 508.37, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7811, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781, scimark_benchmark: 941.6675, usercpu_time_millis: 1370, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6674, kappa: 0.6325, kb_relative_information_score: 414.2472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6702, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7471, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 931.771, usercpu_time_millis: 2160, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 937.5117, usercpu_time_millis: 14710, usercpu_time_millis_testing: 8980, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7874, kappa: 0.7657, kb_relative_information_score: 524.3238, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6271, scimark_benchmark: 932.438, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 941.3847, usercpu_time_millis: 610, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 974.2014, usercpu_time_millis: 670, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6674, kappa: 0.6325, kb_relative_information_score: 414.2472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6702, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7471, scimark_benchmark: 943.1009, usercpu_time_millis: 142270, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 141720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 943.1009, usercpu_time_millis: 2330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 819.5729, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7049, kappa: 0.7003, kb_relative_information_score: 472.7514, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7374, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6422, scimark_benchmark: 936.2574, usercpu_time_millis: 7690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 859.5223, usercpu_time_millis: 8550, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 5550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 930.404, usercpu_time_millis: 650, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 933.3455, usercpu_time_millis: 530, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7763, kappa: 0.7506, kb_relative_information_score: 508.37, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7811, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781, scimark_benchmark: 941.4991, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 944.0133, usercpu_time_millis: 800, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6674, kappa: 0.6325, kb_relative_information_score: 414.2472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6702, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7471, scimark_benchmark: 932.438, usercpu_time_millis: 144020, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 143500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 936.9595, usercpu_time_millis: 2100, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8181, kappa: 0.7995, kb_relative_information_score: 504.8043, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8197, predictive_accuracy: 0.8197, prior_entropy: 3.3219, recall: 0.8197, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5422, scimark_benchmark: 938.4601, usercpu_time_millis: 143440, usercpu_time_millis_testing: 37680, usercpu_time_millis_training: 105760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8305, kappa: 0.8113, kb_relative_information_score: 506.4444, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8341, predictive_accuracy: 0.8303, prior_entropy: 3.3219, recall: 0.8303, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411, scimark_benchmark: 934.695, usercpu_time_millis: 72260, usercpu_time_millis_testing: 17890, usercpu_time_millis_training: 54370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8267, kappa: 0.8097, kb_relative_information_score: 506.1452, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8288, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5466, scimark_benchmark: 944.235, usercpu_time_millis: 40540, usercpu_time_millis_testing: 11140, usercpu_time_millis_training: 29400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8085, kappa: 0.7877, kb_relative_information_score: 502.6823, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.811, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5615, scimark_benchmark: 939.7883, usercpu_time_millis: 18210, usercpu_time_millis_testing: 3690, usercpu_time_millis_training: 14520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8106, kappa: 0.7912, kb_relative_information_score: 501.8105, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8115, predictive_accuracy: 0.8121, prior_entropy: 3.3219, recall: 0.8121, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5681, scimark_benchmark: 889.4922, usercpu_time_millis: 10660, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 9730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 5.6963, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.0519, kappa: 0.0892, kb_relative_information_score: 156.5115, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0308, predictive_accuracy: 0.1697, prior_entropy: 3.3219, recall: 0.1697, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9589, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.0519, kappa: 0.0892, kb_relative_information_score: 156.5115, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0308, predictive_accuracy: 0.1697, prior_entropy: 3.3219, recall: 0.1697, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9589, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.0519, kappa: 0.0892, kb_relative_information_score: 156.5115, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0308, predictive_accuracy: 0.1697, prior_entropy: 3.3219, recall: 0.1697, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9589, scimark_benchmark: 940.0055, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.0519, kappa: 0.0892, kb_relative_information_score: 156.5115, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0308, predictive_accuracy: 0.1697, prior_entropy: 3.3219, recall: 0.1697, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9589, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1309.0674, usercpu_time_millis: 370, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1324.6442, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1349.1517, usercpu_time_millis: 390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1349.1517, usercpu_time_millis: 400, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 1310.6554, usercpu_time_millis: 1880, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 1347.1763, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 1310.6554, usercpu_time_millis: 7990, usercpu_time_millis_testing: 4630, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7874, kappa: 0.7657, kb_relative_information_score: 524.3238, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6271, scimark_benchmark: 1310.6554, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1319.4538, usercpu_time_millis: 350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1324.7884, usercpu_time_millis: 390, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1316.5668, usercpu_time_millis: 400, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7763, kappa: 0.7506, kb_relative_information_score: 508.37, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7811, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781, scimark_benchmark: 1337.9552, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1354.5533, usercpu_time_millis: 370, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 1345.6844, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 1337.1928, usercpu_time_millis: 10110, usercpu_time_millis_testing: 6950, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1350.7721, usercpu_time_millis: 340, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1342.2845, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1332.9478, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6674, kappa: 0.6325, kb_relative_information_score: 414.2472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6702, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7471, scimark_benchmark: 1331.1314, usercpu_time_millis: 192280, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 190580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 1310.6554, usercpu_time_millis: 1900, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 1310.3168, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7049, kappa: 0.7003, kb_relative_information_score: 472.7514, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7374, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6422, scimark_benchmark: 1313.8988, usercpu_time_millis: 5980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4531, kappa: 0.4926, kb_relative_information_score: 343.1355, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4681, predictive_accuracy: 0.5409, prior_entropy: 3.3219, recall: 0.5409, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0101, scimark_benchmark: 1342.4614, usercpu_time_millis: 13320, usercpu_time_millis_testing: 9510, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1343.7262, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8314, kappa: 0.813, kb_relative_information_score: 553.2009, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8343, predictive_accuracy: 0.8318, prior_entropy: 3.3219, recall: 0.8318, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574, scimark_benchmark: 1311.7317, usercpu_time_millis: 380, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.7763, kappa: 0.7506, kb_relative_information_score: 508.37, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7811, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781, scimark_benchmark: 1323.3376, usercpu_time_millis: 1010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8349, kappa: 0.8181, kb_relative_information_score: 488.0004, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663, scimark_benchmark: 1344.3409, usercpu_time_millis: 1760, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.6752, kappa: 0.6395, kb_relative_information_score: 436.5852, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6779, predictive_accuracy: 0.6758, prior_entropy: 3.3219, recall: 0.6758, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7933, scimark_benchmark: 1344.7524, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,

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