OpenML
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 252 Supervised Classification mfeat-zernike 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8269, kappa: 0.8096, kb_relative_information_score: 427.7645, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8257, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.6613, kappa: 0.6465, kb_relative_information_score: 423.3896, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6698, predictive_accuracy: 0.6818, prior_entropy: 3.3219, recall: 0.6818, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6923, scimark_benchmark: 851.2074, usercpu_time_millis: 5280, usercpu_time_millis_training: 5280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 941.6675, usercpu_time_millis: 7690, usercpu_time_millis_testing: 4240, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 941.6675, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7767, kappa: 0.7541, kb_relative_information_score: 492.994, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7793, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, scimark_benchmark: 941.6675, usercpu_time_millis: 1140, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 931.771, usercpu_time_millis: 1770, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 937.5117, usercpu_time_millis: 6730, usercpu_time_millis_testing: 4010, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7138, kappa: 0.68, kb_relative_information_score: 484.5191, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7185, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7062, scimark_benchmark: 974.2014, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 941.3847, usercpu_time_millis: 330, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 974.2014, usercpu_time_millis: 250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6555, kappa: 0.6158, kb_relative_information_score: 415.8801, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6594, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724, scimark_benchmark: 943.1009, usercpu_time_millis: 55080, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 54720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 943.1009, usercpu_time_millis: 2040, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 819.5729, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.6613, kappa: 0.6465, kb_relative_information_score: 423.3896, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6698, predictive_accuracy: 0.6818, prior_entropy: 3.3219, recall: 0.6818, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6923, scimark_benchmark: 608.4057, usercpu_time_millis: 5930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 730.6551, usercpu_time_millis: 16090, usercpu_time_millis_testing: 7850, usercpu_time_millis_training: 8240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 903.2737, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 938.1282, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 933.3455, usercpu_time_millis: 330, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7767, kappa: 0.7541, kb_relative_information_score: 492.994, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7793, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, scimark_benchmark: 941.4991, usercpu_time_millis: 1140, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 932.438, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 936.9595, usercpu_time_millis: 1820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8209, kappa: 0.8062, kb_relative_information_score: 523.3503, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8169, predictive_accuracy: 0.8258, prior_entropy: 3.3219, recall: 0.8258, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5149, scimark_benchmark: 938.4601, usercpu_time_millis: 90320, usercpu_time_millis_testing: 26900, usercpu_time_millis_training: 63420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.821, kappa: 0.8062, kb_relative_information_score: 522.9713, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8171, predictive_accuracy: 0.8258, prior_entropy: 3.3219, recall: 0.8258, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5168, scimark_benchmark: 934.695, usercpu_time_millis: 43790, usercpu_time_millis_testing: 11200, usercpu_time_millis_training: 32590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8182, kappa: 0.8029, kb_relative_information_score: 523.2085, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8145, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5193, scimark_benchmark: 935.0213, usercpu_time_millis: 22910, usercpu_time_millis_testing: 4250, usercpu_time_millis_training: 18660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8302, kappa: 0.8163, kb_relative_information_score: 523.9073, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8271, predictive_accuracy: 0.8348, prior_entropy: 3.3219, recall: 0.8348, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208, scimark_benchmark: 911.2316, usercpu_time_millis: 10340, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 8660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.784, kappa: 0.7658, kb_relative_information_score: 514.5273, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.781, predictive_accuracy: 0.7894, prior_entropy: 3.3219, recall: 0.7894, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5487, scimark_benchmark: 889.4922, usercpu_time_millis: 6000, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5480,
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: 936.1714, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.0571, kappa: 0.0954, kb_relative_information_score: 122.1246, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0339, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 29.4082, mean_absolute_error: 0.1827, 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: 1.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.4249, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 1310.3168, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 1351.1238, usercpu_time_millis: 10040, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7138, kappa: 0.68, kb_relative_information_score: 484.5191, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7185, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7062, scimark_benchmark: 1313.11, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1322.3407, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 1345.6844, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7138, kappa: 0.68, kb_relative_information_score: 484.5191, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7185, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7062, scimark_benchmark: 1332.9478, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1331.1314, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1313.11, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1332.9478, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1326.2019, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6555, kappa: 0.6158, kb_relative_information_score: 415.8801, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6594, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724, scimark_benchmark: 1322.1893, usercpu_time_millis: 72090, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 71000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6555, kappa: 0.6158, kb_relative_information_score: 415.8801, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6594, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724, scimark_benchmark: 1350.2591, usercpu_time_millis: 73460, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 72310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 1310.3168, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.6613, kappa: 0.6465, kb_relative_information_score: 423.3896, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6698, predictive_accuracy: 0.6818, prior_entropy: 3.3219, recall: 0.6818, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6923, scimark_benchmark: 1345.7919, usercpu_time_millis: 3550, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 1342.8584, usercpu_time_millis: 11230, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 1317.2327, usercpu_time_millis: 14190, usercpu_time_millis_testing: 9530, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1325.6322, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1375.1578, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7767, kappa: 0.7541, kb_relative_information_score: 492.994, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7793, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, scimark_benchmark: 1299.6719, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 1303.3869, usercpu_time_millis: 2060, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6411, kappa: 0.6006, kb_relative_information_score: 432.7803, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6436, predictive_accuracy: 0.6409, prior_entropy: 3.3219, recall: 0.6409, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7926, scimark_benchmark: 1325.6322, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1364.991, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7796, kappa: 0.7523, kb_relative_information_score: 515.6519, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7842, predictive_accuracy: 0.7773, prior_entropy: 3.3219, recall: 0.7773, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409, scimark_benchmark: 1341.9187, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.6555, kappa: 0.6158, kb_relative_information_score: 415.8801, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6594, predictive_accuracy: 0.6545, prior_entropy: 3.3219, recall: 0.6545, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7724, scimark_benchmark: 1267.7714, usercpu_time_millis: 76600, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 75480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 1337.3179, usercpu_time_millis: 1660, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.023, kappa: 0.0039, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2046, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 1317.5857, usercpu_time_millis: 13640, usercpu_time_millis_testing: 9390, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7138, kappa: 0.68, kb_relative_information_score: 484.5191, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7185, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7062, scimark_benchmark: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7138, kappa: 0.68, kb_relative_information_score: 484.5191, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7185, predictive_accuracy: 0.7121, prior_entropy: 3.3219, recall: 0.7121, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7062, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7854, kappa: 0.7641, kb_relative_information_score: 478.7653, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.784, predictive_accuracy: 0.7879, prior_entropy: 3.3219, recall: 0.7879, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012, scimark_benchmark: 1322.7257, usercpu_time_millis: 1560, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1450,

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