OpenML
Supervised Classification on AP_Colon_Kidney

Supervised Classification on AP_Colon_Kidney

Task 3971 Supervised Classification AP_Colon_Kidney 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 519.9089, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9634, kappa: 0.9265, kb_relative_information_score: 505.9335, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9432, kappa: 0.886, kb_relative_information_score: 483.7917, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9434, predictive_accuracy: 0.9432, prior_entropy: 0.9984, recall: 0.9432, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9597, kappa: 0.9195, kb_relative_information_score: 501.8503, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9623, predictive_accuracy: 0.9597, prior_entropy: 0.9984, recall: 0.9597, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 514.5844, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3601, kb_relative_information_score: 1.5637, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 514.3773, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9652, kappa: 0.9303, kb_relative_information_score: 507.8698, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9656, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9689, kappa: 0.9376, kb_relative_information_score: 510.398, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0091, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9506, kappa: 0.9009, kb_relative_information_score: 491.3355, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9506, predictive_accuracy: 0.9505, prior_entropy: 0.9984, recall: 0.9505, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9633, kappa: 0.9264, kb_relative_information_score: 484.6239, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9645, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 509.4342, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9268, kappa: 0.8532, kb_relative_information_score: 465.7331, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9269, predictive_accuracy: 0.9267, prior_entropy: 0.9984, recall: 0.9267, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3601, kb_relative_information_score: -0.0091, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9615, kappa: 0.9229, kb_relative_information_score: 493.3155, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.978, kappa: 0.956, kb_relative_information_score: 521.9154, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9615, kappa: 0.9228, kb_relative_information_score: 503.8568, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9618, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9652, kappa: 0.9302, kb_relative_information_score: 507.4851, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.978, kappa: 0.956, kb_relative_information_score: 521.9154, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9615, kappa: 0.9228, kb_relative_information_score: 503.8568, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9618, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9652, kappa: 0.9302, kb_relative_information_score: 507.4851, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.3601, kb_relative_information_score: 3.5213, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1922.3298, usercpu_time_millis: 15296.875, usercpu_time_millis_testing: 7656.25, usercpu_time_millis_training: 7640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9762, kappa: 0.9522, kb_relative_information_score: 519.9089, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.309, scimark_benchmark: 1922.3298, usercpu_time_millis: 16390.625, usercpu_time_millis_testing: 8015.625, usercpu_time_millis_training: 8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1922.3298, usercpu_time_millis: 50671.875, usercpu_time_millis_testing: 23187.5, usercpu_time_millis_training: 27484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1280.301, usercpu_time_millis: 41859.375, usercpu_time_millis_testing: 22109.375, usercpu_time_millis_training: 19750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.978, kappa: 0.9559, kb_relative_information_score: 520.8546, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.2759, scimark_benchmark: 1389.6746, usercpu_time_millis: 823480, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 823010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 487.4596, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2745, scimark_benchmark: 930.1844, usercpu_time_millis: 14960, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 14380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1823.3178, usercpu_time_millis: 5240, usercpu_time_millis_testing: 3360, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9597, kappa: 0.9192, kb_relative_information_score: 495.835, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.9984, recall: 0.9597, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3986, scimark_benchmark: 897.3581, usercpu_time_millis: 5910, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 5350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1404.8968, usercpu_time_millis: 85300, usercpu_time_millis_testing: 26610, usercpu_time_millis_training: 58690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1368.785, usercpu_time_millis: 96410, usercpu_time_millis_testing: 47290, usercpu_time_millis_training: 49120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1387.6488, usercpu_time_millis: 23510, usercpu_time_millis_testing: 11090, usercpu_time_millis_training: 12420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9762, kappa: 0.9522, kb_relative_information_score: 519.9089, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.309, scimark_benchmark: 1696.9004, usercpu_time_millis: 20950, usercpu_time_millis_testing: 9650, usercpu_time_millis_training: 11300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3601, kb_relative_information_score: 24.3007, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, scimark_benchmark: 1665.974, usercpu_time_millis: 407921.875, usercpu_time_millis_testing: 110656.25, usercpu_time_millis_training: 297265.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9652, kappa: 0.9304, kb_relative_information_score: 496.3704, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9667, predictive_accuracy: 0.9652, prior_entropy: 0.9984, recall: 0.9652, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2929, usercpu_time_millis: 468.525, usercpu_time_millis_testing: 75.224, usercpu_time_millis_training: 393.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 519.9089, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9984, recall: 0.9762, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.309, scimark_benchmark: 1304.423, usercpu_time_millis: 365640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 365610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9799, kappa: 0.9596, kb_relative_information_score: 522.9101, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9984, recall: 0.9799, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.142, root_relative_squared_error: 0.2844, scimark_benchmark: 1244.7315, usercpu_time_millis: 248180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 248150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.3601, kb_relative_information_score: 3.1477, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0048, scimark_benchmark: 1330.006, usercpu_time_millis: 612660, usercpu_time_millis_testing: 122170, usercpu_time_millis_training: 490490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9817, kappa: 0.9633, kb_relative_information_score: 523.1495, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 0.9984, recall: 0.9817, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2569, scimark_benchmark: 1517.0094, usercpu_time_millis: 301690, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 301190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9688, kappa: 0.9375, kb_relative_information_score: 515.145, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9696, predictive_accuracy: 0.9689, prior_entropy: 0.9984, recall: 0.9689, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.284, scimark_benchmark: 1342.8203, usercpu_time_millis: 27220, usercpu_time_millis_testing: 27220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 514.5117, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.2855, scimark_benchmark: 1371.1459, usercpu_time_millis: 379870, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 379170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9707, kappa: 0.9413, kb_relative_information_score: 516.3092, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9984, recall: 0.9707, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2841, scimark_benchmark: 920.7733, usercpu_time_millis: 334190, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 333590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1607.8569, usercpu_time_millis: 276890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 276870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9579, kappa: 0.9155, kb_relative_information_score: 487.9082, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 0.9984, recall: 0.9579, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3912, scimark_benchmark: 1398.9733, usercpu_time_millis: 314070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 314060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1570.0077, usercpu_time_millis: 289720, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 289620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 497.1004, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2625, scimark_benchmark: 1412.5968, usercpu_time_millis: 379000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 378980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 515.8958, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3319, scimark_benchmark: 1383.1318, usercpu_time_millis: 409630, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 409530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9835, kappa: 0.967, kb_relative_information_score: 526.3872, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9984, recall: 0.9835, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2566, scimark_benchmark: 1382.0405, usercpu_time_millis: 322530, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 322230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 507.2364, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 0.9984, recall: 0.9725, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2943, scimark_benchmark: 1027.2921, usercpu_time_millis: 33760, usercpu_time_millis_testing: 33760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 512.3479, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.2784, scimark_benchmark: 1365.6804, usercpu_time_millis: 43360, usercpu_time_millis_testing: 43350, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9798, kappa: 0.9596, kb_relative_information_score: 523.9219, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9984, recall: 0.9799, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2842, scimark_benchmark: 943.6896, usercpu_time_millis: 860, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9633, kappa: 0.9265, kb_relative_information_score: 505.0246, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9636, predictive_accuracy: 0.9634, prior_entropy: 0.9984, recall: 0.9634, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3831, scimark_benchmark: 1334.2093, usercpu_time_millis: 332380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 332360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.967, kappa: 0.934, kb_relative_information_score: 509.5139, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9675, predictive_accuracy: 0.967, prior_entropy: 0.9984, recall: 0.967, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.362, scimark_benchmark: 1178.7038, usercpu_time_millis: 179060, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 178960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1008.193, usercpu_time_millis: 8110, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 7950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 517.9023, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3206, scimark_benchmark: 1002.7015, usercpu_time_millis: 5730, usercpu_time_millis_testing: 4590, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9615, kappa: 0.9228, kb_relative_information_score: 499.2095, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9617, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3856, scimark_benchmark: 903.7665, usercpu_time_millis: 12900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.978, kappa: 0.956, kb_relative_information_score: 521.9154, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 0.9984, recall: 0.978, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2968, scimark_benchmark: 915.9194, usercpu_time_millis: 11860, usercpu_time_millis_testing: 3850, usercpu_time_millis_training: 8010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9744, kappa: 0.9486, kb_relative_information_score: 474.8642, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9984, recall: 0.9744, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.146, root_relative_squared_error: 0.2924, scimark_benchmark: 978.9217, usercpu_time_millis: 2260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9615, kappa: 0.9229, kb_relative_information_score: 493.3155, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.9616, predictive_accuracy: 0.9615, prior_entropy: 0.9984, recall: 0.9615, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3755, scimark_benchmark: 1082.7379, usercpu_time_millis: 1800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1770,

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