Task
Supervised Classification on tae

Supervised Classification on tae

Task 1811 Supervised Classification tae 324 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.346, kappa: 0.1549, kb_relative_information_score: 84.2611, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4133, predictive_accuracy: 0.4331, prior_entropy: 1.5845, recall: 0.4331, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0008, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5022, kappa: 0.2568, kb_relative_information_score: 185.9858, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5027, predictive_accuracy: 0.5046, prior_entropy: 1.5845, recall: 0.5046, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.494, root_relative_squared_error: 1.048, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.4631, kappa: 0.194, kb_relative_information_score: 139.8716, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4661, predictive_accuracy: 0.4623, prior_entropy: 1.5845, recall: 0.4623, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9724, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5362, kappa: 0.3062, kb_relative_information_score: 217.4738, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5364, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9672, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.4495, kappa: 0.1793, kb_relative_information_score: 190.1102, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.455, predictive_accuracy: 0.4543, prior_entropy: 1.5845, recall: 0.4543, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2797, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 89.9276, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9801, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.4945, kappa: 0.2462, kb_relative_information_score: 145.6263, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4995, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9951, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5362, kappa: 0.3062, kb_relative_information_score: 217.4738, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5364, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9672, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.346, kappa: 0.1549, kb_relative_information_score: 84.2611, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4133, predictive_accuracy: 0.4331, prior_entropy: 1.5845, recall: 0.4331, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0008, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5022, kappa: 0.2568, kb_relative_information_score: 185.9858, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5027, predictive_accuracy: 0.5046, prior_entropy: 1.5845, recall: 0.5046, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.494, root_relative_squared_error: 1.048, scimark_benchmark: 608.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.4495, kappa: 0.1793, kb_relative_information_score: 190.1102, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.455, predictive_accuracy: 0.4543, prior_entropy: 1.5845, recall: 0.4543, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2797, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.4631, kappa: 0.194, kb_relative_information_score: 139.8716, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4661, predictive_accuracy: 0.4623, prior_entropy: 1.5845, recall: 0.4623, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9724, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.4945, kappa: 0.2462, kb_relative_information_score: 145.6263, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4995, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9951, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5362, kappa: 0.3062, kb_relative_information_score: 217.4738, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5364, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9672, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.543, kappa: 0.3167, kb_relative_information_score: 197.2007, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5433, predictive_accuracy: 0.5444, prior_entropy: 1.5845, recall: 0.5444, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9428, scimark_benchmark: 938.4601, usercpu_time_millis: 520, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.5512, kappa: 0.3289, kb_relative_information_score: 199.017, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5529, predictive_accuracy: 0.5523, prior_entropy: 1.5845, recall: 0.5523, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.943, scimark_benchmark: 901.6243, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5509, kappa: 0.3289, kb_relative_information_score: 199.9169, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5525, predictive_accuracy: 0.5523, prior_entropy: 1.5845, recall: 0.5523, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9438, scimark_benchmark: 917.2109, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5466, kappa: 0.3206, kb_relative_information_score: 197.8314, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5468, predictive_accuracy: 0.547, prior_entropy: 1.5845, recall: 0.547, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9504, scimark_benchmark: 939.7883, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.5352, kappa: 0.3069, kb_relative_information_score: 191.8406, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5369, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9614, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.1764, kb_relative_information_score: 1.4322, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3674, kappa: 0.087, kb_relative_information_score: 69.6482, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.3928, predictive_accuracy: 0.3881, prior_entropy: 1.5845, recall: 0.3881, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0098, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3674, kappa: 0.087, kb_relative_information_score: 69.6482, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.3928, predictive_accuracy: 0.3881, prior_entropy: 1.5845, recall: 0.3881, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0098, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3674, kappa: 0.087, kb_relative_information_score: 69.6482, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.3928, predictive_accuracy: 0.3881, prior_entropy: 1.5845, recall: 0.3881, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0098, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3674, kappa: 0.087, kb_relative_information_score: 69.6482, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.3928, predictive_accuracy: 0.3881, prior_entropy: 1.5845, recall: 0.3881, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0098, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3674, kappa: 0.087, kb_relative_information_score: 69.6482, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.3928, predictive_accuracy: 0.3881, prior_entropy: 1.5845, recall: 0.3881, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0098, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1764, kb_relative_information_score: 73.3834, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.4027, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.4803, kappa: 0.223, kb_relative_information_score: 149.2777, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4922, predictive_accuracy: 0.4808, prior_entropy: 1.5845, recall: 0.4808, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.5392, kappa: 0.3112, kb_relative_information_score: 124.0541, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5423, predictive_accuracy: 0.5404, prior_entropy: 1.5845, recall: 0.5404, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9515, scimark_benchmark: 931.7994, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.4027, kappa: 0.103, kb_relative_information_score: 54.4262, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4034, predictive_accuracy: 0.4026, prior_entropy: 1.5845, recall: 0.4026, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9978, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.4631, kappa: 0.194, kb_relative_information_score: 139.8716, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4661, predictive_accuracy: 0.4623, prior_entropy: 1.5845, recall: 0.4623, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9724, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 89.9276, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9801, scimark_benchmark: 1326.2019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.4945, kappa: 0.2462, kb_relative_information_score: 145.6263, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4995, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9951, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5022, kappa: 0.2568, kb_relative_information_score: 185.9858, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5027, predictive_accuracy: 0.5046, prior_entropy: 1.5845, recall: 0.5046, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.494, root_relative_squared_error: 1.048, scimark_benchmark: 1321.8132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.4495, kappa: 0.1793, kb_relative_information_score: 190.1102, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.455, predictive_accuracy: 0.4543, prior_entropy: 1.5845, recall: 0.4543, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2797, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 1317.2327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5362, kappa: 0.3062, kb_relative_information_score: 217.4738, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5364, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9672, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4279, kappa: 0.1902, kb_relative_information_score: 87.3515, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4577, predictive_accuracy: 0.4583, prior_entropy: 1.5845, recall: 0.4583, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9821, scimark_benchmark: 1326.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5362, kappa: 0.3062, kb_relative_information_score: 217.4738, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.5364, predictive_accuracy: 0.5377, prior_entropy: 1.5845, recall: 0.5377, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9672, scimark_benchmark: 1343.3311, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.3918, kappa: 0.1715, kb_relative_information_score: 85.06, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 755, precision: 0.4378, predictive_accuracy: 0.445, prior_entropy: 1.5845, recall: 0.445, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9864, scimark_benchmark: 1334.1825,

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