Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 3834 Supervised Classification mfeat-fourier 553 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1917.0146, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9955, kappa: 0.9747, kb_relative_information_score: 1919.6379, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9944, kappa: 0.9688, kb_relative_information_score: 1880.3588, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9939, kappa: 0.9661, kb_relative_information_score: 1912.014, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.992, kappa: 0.9554, kb_relative_information_score: 1871.1064, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1958.4321, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1969.4297, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.4734, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1969.3347, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1974.1911, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1945.6811, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1963.7642, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1947.5526, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1980.4302, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9955, kappa: 0.9747, kb_relative_information_score: 1860.624, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1818.0444, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1990.1342, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.4703, recall: 1, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0077, root_relative_squared_error: 0.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1976.7522, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.1064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1976.1252, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.4703, recall: 1, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1865.5634, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.995, kappa: 0.972, kb_relative_information_score: 1908.3125, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9945, kappa: 0.969, kb_relative_information_score: 1914.8653, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2473, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1944.505, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2473, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9929, kappa: 0.9602, kb_relative_information_score: 1909.2884, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9736, kappa: 0.86, kb_relative_information_score: 1550.4148, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9765, predictive_accuracy: 0.9725, prior_entropy: 0.4703, recall: 0.9725, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1893.5587, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.9917, kb_relative_information_score: 1943.563, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1807.9533, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9905, kappa: 0.9469, kb_relative_information_score: 1854.4726, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9945, kappa: 0.969, kb_relative_information_score: 1914.9479, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1289.8706, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1960.4558, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.1085, scimark_benchmark: 1322.0004, usercpu_time_millis: 2950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.997, kappa: 0.9836, kb_relative_information_score: 1949.8964, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9971, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1804, scimark_benchmark: 1275.8941, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1983.8504, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745, scimark_benchmark: 1335.5725, usercpu_time_millis: 1530, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.2431, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0318, root_relative_squared_error: 0.1061, scimark_benchmark: 1023.5497, usercpu_time_millis: 7390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9915, kappa: 0.9531, kb_relative_information_score: 1860.3556, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2966, scimark_benchmark: 950.0408, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2473, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, scimark_benchmark: 1618.1738, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9906, kappa: 0.9478, kb_relative_information_score: 1826.8522, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3207, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1917.0146, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2392, scimark_benchmark: 1925.3565, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1950.2827, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1761, scimark_benchmark: 1870.7932, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1917.0146, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2392, scimark_benchmark: 1870.7932, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9792, kappa: 0.8854, kb_relative_information_score: 1684.8162, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9794, predictive_accuracy: 0.979, prior_entropy: 0.4703, recall: 0.979, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1948.6922, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1824, scimark_benchmark: 1732.2066, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9945, kappa: 0.969, kb_relative_information_score: 1914.9479, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1732.2066, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1948.6922, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1824, scimark_benchmark: 1887.4343, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9955, kappa: 0.9748, kb_relative_information_score: 1915.6878, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2233, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1893.5587, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.258, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1892.2419, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1764, scimark_benchmark: 1806.5905, usercpu_time_millis: 343.2022, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 312.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1865.5634, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1918, scimark_benchmark: 1806.5905, usercpu_time_millis: 436.8028, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 405.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1991.2242, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.4703, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0018, scimark_benchmark: 1806.5905, usercpu_time_millis: 499.2032, usercpu_time_millis_testing: 405.6026, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1983.8504, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745, scimark_benchmark: 1806.5905, usercpu_time_millis: 1201.2077, usercpu_time_millis_testing: 1201.2077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1948.6922, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1824, scimark_benchmark: 1877.5305, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9945, kappa: 0.969, kb_relative_information_score: 1914.9479, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1994.6236, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.4703, recall: 1, root_mean_prior_squared_error: 0.3, usercpu_time_millis: 13.088, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 12.96,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs