Task
Supervised Classification on chscase_census3

Supervised Classification on chscase_census3

Task 4476 Supervised Classification chscase_census3 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4817, kappa: -0.0362, kb_relative_information_score: -68.6334, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4815, prior_entropy: 0.9989, recall: 0.4815, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0812, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 916.0735, 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: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.4652, kappa: -0.0716, kb_relative_information_score: -101.7318, mean_absolute_error: 0.5093, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4649, predictive_accuracy: 0.4665, prior_entropy: 0.9989, recall: 0.4665, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0581, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.4581, kappa: -0.0805, kb_relative_information_score: -71.4011, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4592, predictive_accuracy: 0.4645, prior_entropy: 0.9989, recall: 0.4645, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0328, scimark_benchmark: 938.9588, usercpu_time_millis: 4600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 936.3373, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 944.1783, usercpu_time_millis: 40, usercpu_time_millis_testing: 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: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.4652, kappa: -0.0716, kb_relative_information_score: -101.7318, mean_absolute_error: 0.5093, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4649, predictive_accuracy: 0.4665, prior_entropy: 0.9989, recall: 0.4665, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0581, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 947.1781, 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: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4817, kappa: -0.0362, kb_relative_information_score: -68.6334, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4815, prior_entropy: 0.9989, recall: 0.4815, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0812, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 904.5548, 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: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.4652, kappa: -0.0716, kb_relative_information_score: -101.7318, mean_absolute_error: 0.5093, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4649, predictive_accuracy: 0.4665, prior_entropy: 0.9989, recall: 0.4665, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0581, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.4581, kappa: -0.0805, kb_relative_information_score: -71.4011, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4592, predictive_accuracy: 0.4645, prior_entropy: 0.9989, recall: 0.4645, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0328, scimark_benchmark: 936.3213, usercpu_time_millis: 3990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 941.4991, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4305, f_measure: 0.3559, kappa: -0.0073, kb_relative_information_score: -6.1911, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.353, predictive_accuracy: 0.5163, prior_entropy: 0.9989, recall: 0.5163, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0011, scimark_benchmark: 943.6618, usercpu_time_millis: 1230, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4442, f_measure: 0.3548, kappa: -0.0099, kb_relative_information_score: -5.5686, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.3245, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.001, scimark_benchmark: 934.695, usercpu_time_millis: 500, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.452, f_measure: 0.3573, kappa: -0.0067, kb_relative_information_score: -5.1464, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.3896, predictive_accuracy: 0.5165, prior_entropy: 0.9989, recall: 0.5165, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0009, scimark_benchmark: 593.4115, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4684, f_measure: 0.3625, kappa: -0.0042, kb_relative_information_score: -4.0137, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4577, 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: 1.0008, scimark_benchmark: 906.8974, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4743, f_measure: 0.3639, kappa: -0.0085, kb_relative_information_score: -4.3524, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4413, predictive_accuracy: 0.5153, prior_entropy: 0.9989, recall: 0.5153, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0009, scimark_benchmark: 942.5233, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.482, kappa: -0.0321, kb_relative_information_score: -86.4139, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4842, predictive_accuracy: 0.4888, prior_entropy: 0.9989, recall: 0.4888, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0851, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.482, kappa: -0.0321, kb_relative_information_score: -86.4139, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4842, predictive_accuracy: 0.4888, prior_entropy: 0.9989, recall: 0.4888, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0851, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.482, kappa: -0.0321, kb_relative_information_score: -86.4139, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4842, predictive_accuracy: 0.4888, prior_entropy: 0.9989, recall: 0.4888, relative_absolute_error: 1.0195, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0851, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.4837, kappa: -0.0282, kb_relative_information_score: -79.8784, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4861, predictive_accuracy: 0.4908, prior_entropy: 0.9989, recall: 0.4908, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0816, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4944, kappa: -0.0039, kb_relative_information_score: -36.9071, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4988, predictive_accuracy: 0.5035, prior_entropy: 0.9989, recall: 0.5035, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.0647, scimark_benchmark: 936.1714, 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: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.4581, kappa: -0.0805, kb_relative_information_score: -71.4034, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4592, predictive_accuracy: 0.4645, prior_entropy: 0.9989, recall: 0.4645, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0328, scimark_benchmark: 1308.685, usercpu_time_millis: 2040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1322.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 1313.5633, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1309.4708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4081, kappa: -0.0224, kb_relative_information_score: 56.3833, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4711, predictive_accuracy: 0.5053, prior_entropy: 0.9989, recall: 0.5053, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6763, root_relative_squared_error: 1.3537, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4817, kappa: -0.0362, kb_relative_information_score: -68.6334, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4815, prior_entropy: 0.9989, recall: 0.4815, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0812, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 1310.3168, 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: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 1345.7919, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 1324.7884, 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: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, 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: 1342.7125,

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