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OpenML
Task
Supervised Classification on desharnais

Supervised Classification on desharnais

Task 3922 Supervised Classification desharnais 362 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_41 under100k under1m
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362 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6026, kappa: 0.3168, kb_relative_information_score: 22.5625, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5679, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9736, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 8.9179, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222, scimark_benchmark: 1034.1273, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6201, kappa: 0.3532, kb_relative_information_score: 15.4892, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5808, predictive_accuracy: 0.6667, prior_entropy: 1.3765, recall: 0.6667, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9638, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7257, kappa: 0.5038, kb_relative_information_score: 31.1599, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7303, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8821, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5699, kappa: 0.2932, kb_relative_information_score: 26.0509, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5942, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9026, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7059, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9106, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6834, kappa: 0.4281, kb_relative_information_score: 27.5488, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7017, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8958, scimark_benchmark: 940.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82, scimark_benchmark: 1291.6995, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6884, kappa: 0.4517, kb_relative_information_score: 38.3007, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6875, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4536, root_relative_squared_error: 1.0433, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6834, kappa: 0.4495, kb_relative_information_score: 23.758, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6801, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9397, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.6556, kappa: 0.425, kb_relative_information_score: 20.4441, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6148, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9133, scimark_benchmark: 1321.6263, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.575, kappa: 0.247, kb_relative_information_score: 19.273, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5836, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1292.2426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.6878, kappa: 0.4394, kb_relative_information_score: 36.8311, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6898, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9845, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6424, kappa: 0.3815, kb_relative_information_score: 32.2722, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6161, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.064, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6373, kappa: 0.3608, kb_relative_information_score: 30.4474, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6367, predictive_accuracy: 0.642, prior_entropy: 1.3765, recall: 0.642, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1237, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6256, kappa: 0.3489, kb_relative_information_score: 24.6208, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6248, predictive_accuracy: 0.6296, prior_entropy: 1.3765, recall: 0.6296, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.1007, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6697, kappa: 0.4096, kb_relative_information_score: 28.8644, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6862, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.0023, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6049, kappa: 0.2966, kb_relative_information_score: 19.3362, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5972, predictive_accuracy: 0.6173, prior_entropy: 1.3765, recall: 0.6173, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.02, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.386, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4458, root_relative_squared_error: 1.0252, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.4388, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0184, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.5729, kappa: 0.2391, kb_relative_information_score: 16.4388, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.5606, predictive_accuracy: 0.5926, prior_entropy: 1.3765, recall: 0.5926, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0184, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 936.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.2429, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8935, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 21.6251, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9043, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6541, kappa: 0.4214, kb_relative_information_score: 26.8808, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6133, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9759, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7868, kappa: 0.6127, kb_relative_information_score: 49.1891, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7986, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.373, root_relative_squared_error: 0.8578, scimark_benchmark: 938.4285, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7723, kappa: 0.5881, kb_relative_information_score: 47.0443, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7899, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8467, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.76, kappa: 0.5619, kb_relative_information_score: 46.4164, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7732, predictive_accuracy: 0.7654, prior_entropy: 1.3765, recall: 0.7654, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.368, root_relative_squared_error: 0.8464, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7449, kappa: 0.5381, kb_relative_information_score: 40.3684, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7531, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.862, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7199, kappa: 0.4927, kb_relative_information_score: 35.8734, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7279, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.859, scimark_benchmark: 931.2336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, build_cpu_time: 9.8925, build_memory: 804506739.5556, f_measure: 0.7564, kappa: 0.5599, kb_relative_information_score: 46.3891, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7756, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9331, scimark_benchmark: 938.6203,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, build_cpu_time: 2.2249, build_memory: 783889570.4691, f_measure: 0.7564, kappa: 0.5599, kb_relative_information_score: 46.0498, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7756, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9282, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, build_cpu_time: 1.1706, build_memory: 48529894.4198, f_measure: 0.7171, kappa: 0.4859, kb_relative_information_score: 40.8548, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7408, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9682, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, build_cpu_time: 0.4936, build_memory: 903508065.8765, f_measure: 0.6909, kappa: 0.4347, kb_relative_information_score: 37.0629, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7123, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0042, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, build_cpu_time: 0.1615, build_memory: 410758243.5556, f_measure: 0.7445, kappa: 0.5389, kb_relative_information_score: 45.0166, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7526, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9135, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, build_cpu_time: 0.3478, build_memory: 244609265.9753, f_measure: 0.7714, kappa: 0.5899, kb_relative_information_score: 47.7116, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7781, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8871, scimark_benchmark: 942.0692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, build_cpu_time: 1.4, build_memory: 1060941709.2346, f_measure: 0.7733, kappa: 0.5947, kb_relative_information_score: 48.4751, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7801, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.8853, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, build_cpu_time: 0.1529, build_memory: 915067039.6049, f_measure: 0.7809, kappa: 0.6133, kb_relative_information_score: 49.9192, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.79, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.849, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, build_cpu_time: 0.114, build_memory: 1273880531.1605, f_measure: 0.7688, kappa: 0.5906, kb_relative_information_score: 47.7948, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7781, predictive_accuracy: 0.7778, prior_entropy: 1.3765, recall: 0.7778, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.8732, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 0.0547, build_memory: 445529229.8272, f_measure: 0.7907, kappa: 0.6295, kb_relative_information_score: 48.6998, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8011, predictive_accuracy: 0.8025, prior_entropy: 1.3765, recall: 0.8025, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8178, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 0.0288, build_memory: 1179565594.4691, f_measure: 0.721, kappa: 0.5008, kb_relative_information_score: 43.3698, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7215, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.882, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 0.015, build_memory: 140560559.7037, f_measure: 0.7066, kappa: 0.4728, kb_relative_information_score: 37.1613, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7095, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9986, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, build_cpu_time: 0.0439, build_memory: 1639728073.3827, f_measure: 0.6847, kappa: 0.4337, kb_relative_information_score: 38.7516, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6877, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9936, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, build_cpu_time: 0.0561, build_memory: 1165281032.9877, f_measure: 0.7036, kappa: 0.4737, kb_relative_information_score: 38.9742, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7059, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9921, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.155, build_memory: 1066022107.7531, f_measure: 0.7441, kappa: 0.5424, kb_relative_information_score: 43.7262, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7541, predictive_accuracy: 0.7531, prior_entropy: 1.3765, recall: 0.7531, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9392, scimark_benchmark: 890.3066,

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