Task
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 4528 Supervised Classification postoperative-patient-data 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -8.0675, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0091, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4383, f_measure: 0.5849, kappa: -0.0578, kb_relative_information_score: -159.4637, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5526, predictive_accuracy: 0.6522, prior_entropy: 0.8732, recall: 0.6522, relative_absolute_error: 1.0844, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0843, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.606, kappa: -0.006, kb_relative_information_score: -68.4156, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5859, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1275, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4268, f_measure: 0.5883, kappa: -0.011, kb_relative_information_score: -6.0119, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5045, predictive_accuracy: 0.7056, prior_entropy: 0.8732, recall: 0.7056, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0363, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, f_measure: 0.571, kappa: -0.0934, kb_relative_information_score: -96.6529, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5305, predictive_accuracy: 0.64, prior_entropy: 0.8732, recall: 0.64, relative_absolute_error: 1.0419, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.1214, scimark_benchmark: 938.191, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4307, f_measure: 0.6091, kappa: 0.0052, kb_relative_information_score: -37.6366, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5926, predictive_accuracy: 0.6767, prior_entropy: 0.8732, recall: 0.6767, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.1064, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5664, kappa: -0.106, kb_relative_information_score: -57.5555, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.6322, prior_entropy: 0.8732, recall: 0.6322, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.1079, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5664, kappa: -0.106, kb_relative_information_score: -57.5555, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.6322, prior_entropy: 0.8732, recall: 0.6322, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.1079, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -8.0675, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0091, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4383, f_measure: 0.5849, kappa: -0.0578, kb_relative_information_score: -159.4637, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5526, predictive_accuracy: 0.6522, prior_entropy: 0.8732, recall: 0.6522, relative_absolute_error: 1.0844, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0843, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.606, kappa: -0.006, kb_relative_information_score: -68.4156, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5859, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1275, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 940.1221, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 218.1171, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5862, kappa: -0.0526, kb_relative_information_score: -101.4555, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.553, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0418, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0892, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4268, f_measure: 0.5883, kappa: -0.011, kb_relative_information_score: -6.0119, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5045, predictive_accuracy: 0.7056, prior_entropy: 0.8732, recall: 0.7056, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0363, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, f_measure: 0.571, kappa: -0.0934, kb_relative_information_score: -96.6529, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5305, predictive_accuracy: 0.64, prior_entropy: 0.8732, recall: 0.64, relative_absolute_error: 1.0419, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.1214, scimark_benchmark: 936.3213, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5664, kappa: -0.106, kb_relative_information_score: -57.5555, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.6322, prior_entropy: 0.8732, recall: 0.6322, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.1079, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3852, f_measure: 0.5889, kappa: -0.0088, kb_relative_information_score: -34.4541, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5048, predictive_accuracy: 0.7067, prior_entropy: 0.8732, recall: 0.7067, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.0226, scimark_benchmark: 917.5013, usercpu_time_millis: 510, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3814, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -34.5766, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4638, root_relative_squared_error: 1.0232, scimark_benchmark: 945.6228, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3931, f_measure: 0.5883, kappa: -0.011, kb_relative_information_score: -30.2912, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5045, predictive_accuracy: 0.7056, prior_entropy: 0.8732, recall: 0.7056, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.0212, scimark_benchmark: 901.4991, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4102, f_measure: 0.5862, kappa: -0.0197, kb_relative_information_score: -35.4464, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5036, predictive_accuracy: 0.7011, prior_entropy: 0.8732, recall: 0.7011, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4638, root_relative_squared_error: 1.0232, scimark_benchmark: 939.3535, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3873, f_measure: 0.5887, kappa: -0.0143, kb_relative_information_score: -35.7009, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5331, predictive_accuracy: 0.7022, prior_entropy: 0.8732, recall: 0.7022, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0261, scimark_benchmark: 942.5233, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3416, f_measure: 0.5778, kappa: -0.0718, kb_relative_information_score: -147.0076, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5356, predictive_accuracy: 0.6567, prior_entropy: 0.8732, recall: 0.6567, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.1546, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3416, f_measure: 0.5778, kappa: -0.0718, kb_relative_information_score: -147.0076, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5356, predictive_accuracy: 0.6567, prior_entropy: 0.8732, recall: 0.6567, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.1546, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3416, f_measure: 0.5778, kappa: -0.0718, kb_relative_information_score: -147.0076, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5356, predictive_accuracy: 0.6567, prior_entropy: 0.8732, recall: 0.6567, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.1546, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3415, f_measure: 0.5778, kappa: -0.0718, kb_relative_information_score: -147.0646, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5356, predictive_accuracy: 0.6567, prior_entropy: 0.8732, recall: 0.6567, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.1544, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3414, f_measure: 0.5798, kappa: -0.0628, kb_relative_information_score: -141.0448, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.535, predictive_accuracy: 0.6656, prior_entropy: 0.8732, recall: 0.6656, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.1461, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -8.0675, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0091, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5862, kappa: -0.0526, kb_relative_information_score: -101.4555, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.553, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0418, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0892, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -8.0675, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0091, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5862, kappa: -0.0526, kb_relative_information_score: -101.4555, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.553, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0418, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0892, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4042, f_measure: 0.571, kappa: -0.0934, kb_relative_information_score: -96.6529, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5305, predictive_accuracy: 0.64, prior_entropy: 0.8732, recall: 0.64, relative_absolute_error: 1.0419, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.1214, scimark_benchmark: 1308.685, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4307, f_measure: 0.6091, kappa: 0.0052, kb_relative_information_score: -37.6366, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5926, predictive_accuracy: 0.6767, prior_entropy: 0.8732, recall: 0.6767, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.1064, scimark_benchmark: 1354.5533, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5862, kappa: -0.0526, kb_relative_information_score: -101.4555, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.553, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0418, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0892, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3885, f_measure: 0.5703, kappa: -0.0908, kb_relative_information_score: -92.9423, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5208, predictive_accuracy: 0.6511, prior_entropy: 0.8732, recall: 0.6511, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.1014, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4307, f_measure: 0.6091, kappa: 0.0052, kb_relative_information_score: -37.6366, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5926, predictive_accuracy: 0.6767, prior_entropy: 0.8732, recall: 0.6767, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.1064, scimark_benchmark: 1320.8283, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5664, kappa: -0.106, kb_relative_information_score: -57.5555, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.6322, prior_entropy: 0.8732, recall: 0.6322, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.1079, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5873, kappa: -0.0154, kb_relative_information_score: -8.0675, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 0.8732, recall: 0.7033, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0091, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.606, kappa: -0.006, kb_relative_information_score: -68.4156, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4128, number_of_instances: 900, precision: 0.5859, predictive_accuracy: 0.6589, prior_entropy: 0.8732, recall: 0.6589, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1275, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs