Task
Supervised Classification on disclosure_x_noise

Supervised Classification on disclosure_x_noise

Task 3692 Supervised Classification disclosure_x_noise 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.4823, kappa: -0.0338, kb_relative_information_score: -3.9749, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.483, predictive_accuracy: 0.4834, prior_entropy: 1, recall: 0.4834, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0177, scimark_benchmark: 1349.9917, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.4734, kappa: -0.0519, kb_relative_information_score: -9.6434, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4739, predictive_accuracy: 0.4743, prior_entropy: 1, recall: 0.4743, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0408, scimark_benchmark: 937.1527, usercpu_time_millis: 430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4954, kappa: -0.0012, kb_relative_information_score: 1.5459, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4994, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0149, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5473, kappa: 0.1017, kb_relative_information_score: 67.9688, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5527, predictive_accuracy: 0.5514, prior_entropy: 1, recall: 0.5514, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3396, scimark_benchmark: 855.8522, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5405, kappa: 0.0813, kb_relative_information_score: 7.9517, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5407, predictive_accuracy: 0.5408, prior_entropy: 1, recall: 0.5408, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1313.6093, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.4853, kappa: 0.0333, kb_relative_information_score: 10.8614, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5181, prior_entropy: 1, recall: 0.5181, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025, scimark_benchmark: 1337.6765, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.4861, kappa: -0.0275, kb_relative_information_score: -18.0357, mean_absolute_error: 0.5136, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4862, predictive_accuracy: 0.4864, prior_entropy: 1, recall: 0.4864, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7167, root_relative_squared_error: 1.4333, scimark_benchmark: 1327.3602, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4954, kappa: -0.0092, kb_relative_information_score: -6.0351, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4954, predictive_accuracy: 0.4955, prior_entropy: 1, recall: 0.4955, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7103, root_relative_squared_error: 1.4206, scimark_benchmark: 1329.8847, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.4777, kappa: 0.0419, kb_relative_information_score: 12.9963, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5317, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1313.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5437, kappa: 0.0956, kb_relative_information_score: 8.859, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5497, predictive_accuracy: 0.5483, prior_entropy: 1, recall: 0.5483, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4954, kappa: -0.0012, kb_relative_information_score: 1.5459, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4994, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0149, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.503, kappa: 0.0061, kb_relative_information_score: 1.499, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.503, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6863, root_relative_squared_error: 1.3727, scimark_benchmark: 1321.5205, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4836, kappa: -0.0308, kb_relative_information_score: 0.6571, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4845, predictive_accuracy: 0.4849, prior_entropy: 1, recall: 0.4849, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0197, scimark_benchmark: 943.1756, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.4924, kappa: -0.0153, kb_relative_information_score: -9.5057, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4924, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0726, scimark_benchmark: 1305.601, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.511, kappa: 0.0263, kb_relative_information_score: 1.0822, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5134, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.518, root_relative_squared_error: 1.036, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.3767, kappa: -0.0234, kb_relative_information_score: -4.2895, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4569, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0095, scimark_benchmark: 1341.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.3767, kappa: -0.0234, kb_relative_information_score: -4.2895, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4569, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0095, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 10.9108, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 10.9348, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.5007, kappa: 0.0488, kb_relative_information_score: 11.6919, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5303, predictive_accuracy: 0.5257, prior_entropy: 1, recall: 0.5257, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5405, kappa: 0.0813, kb_relative_information_score: 7.9528, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5407, predictive_accuracy: 0.5408, prior_entropy: 1, recall: 0.5408, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.4633, kappa: 0.0415, kb_relative_information_score: 29.9668, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5369, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6909, root_relative_squared_error: 1.3818, scimark_benchmark: 1358.4523, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0203, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1315.1549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0203, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4877, kappa: -0.0077, kb_relative_information_score: -20.13, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4959, predictive_accuracy: 0.497, prior_entropy: 1, recall: 0.497, relative_absolute_error: 1.0321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1775, scimark_benchmark: 915.6729, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5211, kappa: 0.0422, kb_relative_information_score: 27.9667, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5211, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.692, root_relative_squared_error: 1.384, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5288, kappa: 0.0626, kb_relative_information_score: 14.1965, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.532, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.971, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.474, kappa: -0.0145, kb_relative_information_score: 2.2848, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4915, predictive_accuracy: 0.494, prior_entropy: 1, recall: 0.494, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0376, scimark_benchmark: 1333.1945, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5192, kappa: 0.0472, kb_relative_information_score: 2.597, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5246, predictive_accuracy: 0.5242, prior_entropy: 1, recall: 0.5242, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0274, scimark_benchmark: 1338.01, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.4861, kappa: -0.0275, kb_relative_information_score: -17.9923, mean_absolute_error: 0.5136, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4862, predictive_accuracy: 0.4864, prior_entropy: 1, recall: 0.4864, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7155, root_relative_squared_error: 1.4309, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.3617, kappa: 0.0094, kb_relative_information_score: 1.1887, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5524, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0045, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3286, kappa: -0.006, kb_relative_information_score: 0.7541, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.2462, predictive_accuracy: 0.494, prior_entropy: 1, recall: 0.494, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.4164, kappa: 0.0524, kb_relative_information_score: 10.7727, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.6115, predictive_accuracy: 0.5287, prior_entropy: 1, recall: 0.5287, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 912.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.4823, kappa: -0.0338, kb_relative_information_score: -1.84, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.483, predictive_accuracy: 0.4834, prior_entropy: 1, recall: 0.4834, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0163, scimark_benchmark: 860.584, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.511, kappa: 0.0435, kb_relative_information_score: 6.7263, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.524, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.075, scimark_benchmark: 911.3823, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.5153, kappa: 0.041, kb_relative_information_score: 5.329, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5215, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0697, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.4972, kappa: 0.0339, kb_relative_information_score: 10.1348, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5202, predictive_accuracy: 0.5181, prior_entropy: 1, recall: 0.5181, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0538, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5111, kappa: 0.0406, kb_relative_information_score: 5.7601, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5221, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0531, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.4568, kappa: 0.0055, kb_relative_information_score: 8.6732, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5042, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0457, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.4924, kappa: -0.0153, kb_relative_information_score: -9.5057, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4924, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0726, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4922, kappa: -0.0154, kb_relative_information_score: -6.3549, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4923, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.511, kappa: 0.0263, kb_relative_information_score: 1.0822, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5134, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.518, root_relative_squared_error: 1.036, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5192, kappa: 0.0472, kb_relative_information_score: 2.597, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5246, predictive_accuracy: 0.5242, prior_entropy: 1, recall: 0.5242, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0274, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.5036, kappa: 0.0255, kb_relative_information_score: 3.9741, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5138, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0194, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.3432, kappa: -0.0093, kb_relative_information_score: 4.3013, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.447, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0224, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5075, kappa: 0.0316, kb_relative_information_score: 5.7617, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.517, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0231, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.461, kappa: -0.0749, kb_relative_information_score: -26.6881, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4622, predictive_accuracy: 0.4622, prior_entropy: 1, recall: 0.4622, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2151, scimark_benchmark: 929.566, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4967, kappa: -0.0057, kb_relative_information_score: 0.5507, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4971, predictive_accuracy: 0.497, prior_entropy: 1, recall: 0.497, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0073, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.971, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.3907, kappa: -0.0021, kb_relative_information_score: -0.0393, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4962, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 918.4924, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5026, kappa: 0.0139, kb_relative_information_score: 5.0599, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5072, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 917.7039,

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