Task
Supervised Classification on BNG(cmc)

Supervised Classification on BNG(cmc)

Task 2332 Supervised Classification BNG(cmc) 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 77.265, build_memory: 116146656, f_measure: 0.5354, kappa: 0.279, kb_relative_information_score: 4762.6919, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5343, predictive_accuracy: 0.537, prior_entropy: 1.5387, recall: 0.537, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9571, scimark_benchmark: 948.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 79.946, build_memory: 362391536, f_measure: 0.5354, kappa: 0.279, kb_relative_information_score: 4762.6919, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5343, predictive_accuracy: 0.537, prior_entropy: 1.5387, recall: 0.537, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9571, scimark_benchmark: 944.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, build_cpu_time: 206.398, build_memory: 1829631024, f_measure: 0.5371, kappa: 0.2814, kb_relative_information_score: 4746.196, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5361, predictive_accuracy: 0.5388, prior_entropy: 1.5387, recall: 0.5388, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9533, scimark_benchmark: 907.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 310.979, build_memory: 856067448, f_measure: 0.5376, kappa: 0.2823, kb_relative_information_score: 4752.0828, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5366, predictive_accuracy: 0.5393, prior_entropy: 1.5387, recall: 0.5393, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9507, scimark_benchmark: 942.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 333.997, build_memory: 760313824, f_measure: 0.5376, kappa: 0.2823, kb_relative_information_score: 4752.0828, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5366, predictive_accuracy: 0.5393, prior_entropy: 1.5387, recall: 0.5393, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9507, scimark_benchmark: 945.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 637.712, build_memory: 1199608888, f_measure: 0.5367, kappa: 0.2806, kb_relative_information_score: 4746.9991, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5357, predictive_accuracy: 0.5384, prior_entropy: 1.5387, recall: 0.5384, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9497, scimark_benchmark: 943.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, build_cpu_time: 494.986, build_memory: 256589160, f_measure: 0.5002, kappa: 0.2268, kb_relative_information_score: 2076.5427, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.533, predictive_accuracy: 0.5262, prior_entropy: 1.5387, recall: 0.5262, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9625, scimark_benchmark: 942.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, build_cpu_time: 366.941, build_memory: 131551504, f_measure: 0.4999, kappa: 0.2267, kb_relative_information_score: 2063.6166, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5331, predictive_accuracy: 0.5262, prior_entropy: 1.5387, recall: 0.5262, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9626, scimark_benchmark: 935.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 8157.609, build_memory: 1530485080, f_measure: 0.5232, kappa: 0.2609, kb_relative_information_score: 4654.3871, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5228, predictive_accuracy: 0.5236, prior_entropy: 1.5387, recall: 0.5236, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9683, scimark_benchmark: 942.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 3646.953, build_memory: 3611735344, f_measure: 0.5199, kappa: 0.256, kb_relative_information_score: 4669.8432, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5198, predictive_accuracy: 0.52, prior_entropy: 1.5387, recall: 0.52, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.973, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.5512, kappa: 0.3036, kb_relative_information_score: 4495.598, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5504, predictive_accuracy: 0.5525, prior_entropy: 1.5387, recall: 0.5525, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9659, scimark_benchmark: 1028.5889, usercpu_time_millis: 17970, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 17890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2545, kb_relative_information_score: 6.9724, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.1814, predictive_accuracy: 0.4259, prior_entropy: 1.5387, recall: 0.4259, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.464, root_relative_squared_error: 1, scimark_benchmark: 1028.5889, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.5116, kappa: 0.2719, kb_relative_information_score: 5792.1064, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5391, predictive_accuracy: 0.5134, prior_entropy: 1.5387, recall: 0.5134, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.2276, scimark_benchmark: 1330.0803, usercpu_time_millis: 41620, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 41280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.3902, kappa: 0.0514, kb_relative_information_score: 2556.6606, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.3861, predictive_accuracy: 0.4066, prior_entropy: 1.5387, recall: 0.4066, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.6289, root_relative_squared_error: 1.3556, scimark_benchmark: 1466.6185, usercpu_time_millis: 950, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.535, kappa: 0.2831, kb_relative_information_score: 4657.6334, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5373, predictive_accuracy: 0.5336, prior_entropy: 1.5387, recall: 0.5336, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9896, scimark_benchmark: 1339.4189, usercpu_time_millis: 166450, usercpu_time_millis_testing: 5940, usercpu_time_millis_training: 160510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.3728, kappa: 0.0633, kb_relative_information_score: 3169.1025, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.4025, predictive_accuracy: 0.4386, prior_entropy: 1.5387, recall: 0.4386, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.3186, scimark_benchmark: 1368.9272, usercpu_time_millis: 4130, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.5619, kappa: 0.3207, kb_relative_information_score: 4175.7472, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.561, predictive_accuracy: 0.5637, prior_entropy: 1.5387, recall: 0.5637, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9283, scimark_benchmark: 1361.1055, usercpu_time_millis: 101810, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 101750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.5474, kappa: 0.2968, kb_relative_information_score: 4474.2034, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.547, predictive_accuracy: 0.5486, prior_entropy: 1.5387, recall: 0.5486, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9488, scimark_benchmark: 1318.5526, usercpu_time_millis: 920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.4664, kappa: 0.174, kb_relative_information_score: 4313.3369, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.4665, predictive_accuracy: 0.4663, prior_entropy: 1.5387, recall: 0.4663, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2841, scimark_benchmark: 1316.0472, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1315.0767, usercpu_time_millis: 37860, usercpu_time_millis_testing: 12610, usercpu_time_millis_training: 25250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 1315.3881, usercpu_time_millis: 8940, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 8310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.5014, kappa: 0.2519, kb_relative_information_score: 5551.6206, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5172, predictive_accuracy: 0.5055, prior_entropy: 1.5387, recall: 0.5055, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5742, root_relative_squared_error: 1.2376, scimark_benchmark: 939.5088, usercpu_time_millis: 59700, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 59580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.5199, kappa: 0.2519, kb_relative_information_score: 3234.3534, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.52, predictive_accuracy: 0.5242, prior_entropy: 1.5387, recall: 0.5242, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9434, scimark_benchmark: 938.9967, usercpu_time_millis: 28670, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 28540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.5181, kappa: 0.2506, kb_relative_information_score: 4541.8798, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5177, predictive_accuracy: 0.5195, prior_entropy: 1.5387, recall: 0.5195, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0013, scimark_benchmark: 1337.7959, usercpu_time_millis: 1681590, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1681500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.5159, kappa: 0.2473, kb_relative_information_score: 4491.4844, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5152, predictive_accuracy: 0.5194, prior_entropy: 1.5387, recall: 0.5194, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0013, scimark_benchmark: 1331.6907, usercpu_time_millis: 17259330, usercpu_time_millis_testing: 2082590, usercpu_time_millis_training: 15176740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.4947, kappa: 0.2138, kb_relative_information_score: 4636.326, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.4953, predictive_accuracy: 0.5015, prior_entropy: 1.5387, recall: 0.5015, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0449, scimark_benchmark: 1324.8395, usercpu_time_millis: 402890, usercpu_time_millis_testing: 402870, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.5102, kappa: 0.2423, kb_relative_information_score: 4503.4026, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5113, predictive_accuracy: 0.516, prior_entropy: 1.5387, recall: 0.516, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.995, scimark_benchmark: 940.3347, usercpu_time_millis: 441020, usercpu_time_millis_testing: 440990, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.3554, kappa: 0.1539, kb_relative_information_score: 1485.1748, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.295, predictive_accuracy: 0.4486, prior_entropy: 1.5387, recall: 0.4486, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9832, scimark_benchmark: 876.0664, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.3554, kappa: 0.1539, kb_relative_information_score: 1485.1748, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.295, predictive_accuracy: 0.4486, prior_entropy: 1.5387, recall: 0.4486, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9832, scimark_benchmark: 1304.9611, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.3554, kappa: 0.1539, kb_relative_information_score: 1485.1748, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.295, predictive_accuracy: 0.4486, prior_entropy: 1.5387, recall: 0.4486, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9832, scimark_benchmark: 1287.514, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.3554, kappa: 0.1539, kb_relative_information_score: 1485.1748, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.295, predictive_accuracy: 0.4486, prior_entropy: 1.5387, recall: 0.4486, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9832, scimark_benchmark: 1280.6952, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.3554, kappa: 0.1539, kb_relative_information_score: 1485.1748, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.295, predictive_accuracy: 0.4486, prior_entropy: 1.5387, recall: 0.4486, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9832, scimark_benchmark: 1304.9611, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.5527, kappa: 0.3056, kb_relative_information_score: 4339.6673, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.552, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9455, scimark_benchmark: 1336.2509, usercpu_time_millis: 3010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.5466, kappa: 0.2953, kb_relative_information_score: 4626.7471, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5458, predictive_accuracy: 0.5489, prior_entropy: 1.5387, recall: 0.5489, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9299, scimark_benchmark: 1321.527, usercpu_time_millis: 20380, usercpu_time_millis_testing: 2010, usercpu_time_millis_training: 18370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.5586, kappa: 0.3129, kb_relative_information_score: 4177.0843, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5597, predictive_accuracy: 0.5641, prior_entropy: 1.5387, recall: 0.5641, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9195, scimark_benchmark: 942.9518, usercpu_time_millis: 13690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 13640,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.5666, kappa: 0.3287, kb_relative_information_score: 4457.8819, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5658, predictive_accuracy: 0.568, prior_entropy: 1.5387, recall: 0.568, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9153, scimark_benchmark: 1307.3764, usercpu_time_millis: 730, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.5584, kappa: 0.3126, kb_relative_information_score: 4114.9669, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5595, predictive_accuracy: 0.564, prior_entropy: 1.5387, recall: 0.564, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9198, scimark_benchmark: 833.3193, usercpu_time_millis: 4540, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 935.5075, usercpu_time_millis: 880, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.5526, kappa: 0.3053, kb_relative_information_score: 3210.0862, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5582, predictive_accuracy: 0.5642, prior_entropy: 1.5387, recall: 0.5642, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9246, scimark_benchmark: 1345.3152, usercpu_time_millis: 14480, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 12790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.5591, kappa: 0.3162, kb_relative_information_score: 4044.6352, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5598, predictive_accuracy: 0.5593, prior_entropy: 1.5387, recall: 0.5593, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9217, scimark_benchmark: 1327.5791, usercpu_time_millis: 29288180, usercpu_time_millis_testing: 29288180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.5249, kappa: 0.2609, kb_relative_information_score: 4854.3081, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5263, predictive_accuracy: 0.5299, prior_entropy: 1.5387, recall: 0.5299, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.1022, scimark_benchmark: 1281.7531, usercpu_time_millis: 23580, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 23480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1314.9535, usercpu_time_millis: 490, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5623, kappa: 0.3196, kb_relative_information_score: 6793.2365, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5631, predictive_accuracy: 0.5652, prior_entropy: 1.5387, recall: 0.5652, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1604, scimark_benchmark: 1316.5986, usercpu_time_millis: 1261540, usercpu_time_millis_testing: 456720, usercpu_time_millis_training: 804820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 833.3193, usercpu_time_millis: 29900, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 29840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 916.5769, usercpu_time_millis: 560, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 1329.8902, usercpu_time_millis: 39430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 39360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1343.6648, usercpu_time_millis: 540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5447, kappa: 0.2933, kb_relative_information_score: 3975.8974, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 1.5387, recall: 0.5537, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9272, scimark_benchmark: 1227.9507, usercpu_time_millis: 35250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 35190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 1342.6911, usercpu_time_millis: 350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1322.7383, usercpu_time_millis: 300, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1354.3488, usercpu_time_millis: 380, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 926.6704, usercpu_time_millis: 470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 933.1165, usercpu_time_millis: 440, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1347.993, usercpu_time_millis: 330, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 918.0213, usercpu_time_millis: 590, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 918.0213, usercpu_time_millis: 530, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.5309, kappa: 0.2814, kb_relative_information_score: 4423.8661, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5359, predictive_accuracy: 0.5318, prior_entropy: 1.5387, recall: 0.5318, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9498, scimark_benchmark: 918.0213, usercpu_time_millis: 590, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5629, kappa: 0.321, kb_relative_information_score: 4364.4653, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5618, predictive_accuracy: 0.5663, prior_entropy: 1.5387, recall: 0.5663, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9334, scimark_benchmark: 1341.5795, usercpu_time_millis: 480, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1281.7531, usercpu_time_millis: 44760, usercpu_time_millis_testing: 16320, usercpu_time_millis_training: 28440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1347.993, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1347.993, usercpu_time_millis: 33640, usercpu_time_millis_testing: 8280, usercpu_time_millis_training: 25360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.553, kappa: 0.3101, kb_relative_information_score: 4397.373, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5537, predictive_accuracy: 0.5538, prior_entropy: 1.5387, recall: 0.5538, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9262, scimark_benchmark: 1260.1387, usercpu_time_millis: 280, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1397.3209, usercpu_time_millis: 40430, usercpu_time_millis_testing: 10660, usercpu_time_millis_training: 29770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5649, kappa: 0.3248, kb_relative_information_score: 4472.5134, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5638, predictive_accuracy: 0.5673, prior_entropy: 1.5387, recall: 0.5673, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9192, scimark_benchmark: 1370.3901, usercpu_time_millis: 9100, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 8470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5064, kappa: 0.2343, kb_relative_information_score: 4551.8418, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4306, number_of_instances: 18247, precision: 0.5049, predictive_accuracy: 0.5089, prior_entropy: 1.5387, recall: 0.5089, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.464, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9971, scimark_benchmark: 1310.3168, usercpu_time_millis: 41920, usercpu_time_millis_testing: 16030, usercpu_time_millis_training: 25890,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs