Task
Supervised Classification on chscase_census3

Supervised Classification on chscase_census3

Task 3771 Supervised Classification chscase_census3 568 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4487, f_measure: 0.359, kappa: -0.0046, kb_relative_information_score: -0.4031, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4298, predictive_accuracy: 0.5175, prior_entropy: 0.9989, recall: 0.5175, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007, scimark_benchmark: 906.8974, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, f_measure: 0.359, kappa: -0.0046, kb_relative_information_score: -0.3646, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4298, predictive_accuracy: 0.5175, prior_entropy: 0.9989, recall: 0.5175, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007, scimark_benchmark: 924.2305, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, f_measure: 0.3669, kappa: 0.0108, kb_relative_information_score: 0.0884, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.7518, predictive_accuracy: 0.525, prior_entropy: 0.9989, recall: 0.525, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5007, kappa: 0.0024, kb_relative_information_score: -1.0326, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.502, predictive_accuracy: 0.505, prior_entropy: 0.9989, recall: 0.505, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0631, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5007, kappa: 0.0024, kb_relative_information_score: -1.0326, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.502, predictive_accuracy: 0.505, prior_entropy: 0.9989, recall: 0.505, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0631, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5007, kappa: 0.0024, kb_relative_information_score: -1.0326, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.502, predictive_accuracy: 0.505, prior_entropy: 0.9989, recall: 0.505, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0631, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4839, kappa: -0.0291, kb_relative_information_score: -1.8258, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4858, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.0633, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5046, kappa: 0.015, kb_relative_information_score: 0.4434, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5086, predictive_accuracy: 0.5125, prior_entropy: 0.9989, recall: 0.5125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0534, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4526, f_measure: 0.4786, kappa: -0.0446, kb_relative_information_score: -18.5801, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4784, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0443, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.178, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4514, f_measure: 0.48, kappa: -0.0383, kb_relative_information_score: -17.33, mean_absolute_error: 0.5195, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4812, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5845, root_relative_squared_error: 1.1699, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4633, kappa: -0.0752, kb_relative_information_score: -17.5118, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.463, predictive_accuracy: 0.465, prior_entropy: 0.9989, recall: 0.465, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5719, root_relative_squared_error: 1.1447, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4521, f_measure: 0.4563, kappa: -0.0874, kb_relative_information_score: -15.3463, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4564, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0336, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1296, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.4923, kappa: -0.0172, kb_relative_information_score: -12.4433, mean_absolute_error: 0.513, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4922, predictive_accuracy: 0.4925, prior_entropy: 0.9989, recall: 0.4925, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1101, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.6587, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004, scimark_benchmark: 923.7471, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.507, kappa: 0.0137, kb_relative_information_score: -0.4241, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5077, predictive_accuracy: 0.51, prior_entropy: 0.9989, recall: 0.51, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0093, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4742, kappa: -0.0182, kb_relative_information_score: 1.2416, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4906, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4994, kappa: 0.0032, kb_relative_information_score: 6.8395, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0509, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 939.3886, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.4524, kappa: -0.097, kb_relative_information_score: -14.6307, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0707, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.4529, kappa: -0.09, kb_relative_information_score: -6.9659, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0316, scimark_benchmark: 922.5036, usercpu_time_millis: 2750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 949.7766, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1340.2044, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1322.0065, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.4524, kappa: -0.097, kb_relative_information_score: -14.6307, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0707, scimark_benchmark: 926.6704, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1322.5413,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4994, kappa: 0.0032, kb_relative_information_score: 6.8395, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0509, scimark_benchmark: 1339.3082, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1342.8584, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.4524, kappa: -0.097, kb_relative_information_score: -14.6307, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0707, scimark_benchmark: 1405.2896, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 1325.6322, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4994, kappa: 0.0032, kb_relative_information_score: 6.8395, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0509, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1339.5666, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 1253.0071, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1346.1201, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 1278.6629, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.4529, kappa: -0.09, kb_relative_information_score: -6.9655, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0316, scimark_benchmark: 1341.5795, usercpu_time_millis: 2060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2040,

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