Task
Supervised Classification on fri_c4_100_50

Supervised Classification on fri_c4_100_50

Task 3795 Supervised Classification fri_c4_100_50 587 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: 0.4353, f_measure: 0.4065, kappa: -0.087, kb_relative_information_score: -2.7797, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3993, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5053, kappa: -0.0033, kb_relative_information_score: -0.1325, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5054, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7478, kappa: 0.4864, kb_relative_information_score: 25.9861, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.4986, kappa: -0.0196, kb_relative_information_score: 0.6788, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4975, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 33.9809, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5095, kappa: 0.0101, kb_relative_information_score: 3.7814, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5127, predictive_accuracy: 0.53, prior_entropy: 0.99, recall: 0.53, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.706, kappa: 0.4013, kb_relative_information_score: 41.0532, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7092, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.5113, kappa: 0.0129, kb_relative_information_score: -1.9872, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5136, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.3619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7405, kappa: 0.475, kb_relative_information_score: 41.9499, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7416, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7405, kappa: 0.475, kb_relative_information_score: 49.1485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7416, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5585, kappa: 0.1034, kb_relative_information_score: 4.6735, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.561, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.4713, kappa: -0.0762, kb_relative_information_score: -0.0114, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4686, predictive_accuracy: 0.48, prior_entropy: 0.99, recall: 0.48, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 8.7982, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4306, kappa: -0.1265, kb_relative_information_score: -7.11, mean_absolute_error: 0.524, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4418, predictive_accuracy: 0.43, prior_entropy: 0.99, recall: 0.43, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5977, root_relative_squared_error: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7371, kappa: 0.4646, kb_relative_information_score: 32.8435, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7397, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 24.8156, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7409, kappa: 0.48, kb_relative_information_score: 41.8852, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7472, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.414, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6791, kappa: 0.3475, kb_relative_information_score: 31.215, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8395, kappa: 0.6737, kb_relative_information_score: 63.7543, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.99, recall: 0.84, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4284, f_measure: 0.501, kappa: -0.0097, kb_relative_information_score: -6.0487, mean_absolute_error: 0.524, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6792, root_relative_squared_error: 1.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 47.8891, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.5077, kappa: -0.0016, kb_relative_information_score: 1.2806, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5064, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.1451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.4986, kappa: -0.0196, kb_relative_information_score: 0.4885, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4975, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.6, kappa: 0.1883, kb_relative_information_score: 9.4131, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4787, kappa: -0.0017, kb_relative_information_score: 6.0952, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5058, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.6143, kappa: 0.2321, kb_relative_information_score: 26.5005, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.647, predictive_accuracy: 0.64, prior_entropy: 0.99, recall: 0.64, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 47.8891, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.568, kappa: 0.121, kb_relative_information_score: 12.2168, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5671, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7103, kappa: 0.413, kb_relative_information_score: 38.7646, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7108, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.5077, kappa: -0.0016, kb_relative_information_score: 1.2806, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5064, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.1451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4562, f_measure: 0.4089, kappa: -0.0342, kb_relative_information_score: -0.7321, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4192, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5788, kappa: 0.1436, kb_relative_information_score: 8.2023, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5781, predictive_accuracy: 0.58, prior_entropy: 0.99, recall: 0.58, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7573, kappa: 0.5058, kb_relative_information_score: 50.9868, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4346, kappa: 0.0108, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.535, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.5016, kappa: 0.0048, kb_relative_information_score: -2.0669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5096, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4245, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4884, kappa: -0.0399, kb_relative_information_score: -2.0669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4866, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4245, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4493, f_measure: 0.4785, kappa: -0.0604, kb_relative_information_score: -2.3662, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4774, predictive_accuracy: 0.48, prior_entropy: 0.99, recall: 0.48, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2756, scimark_benchmark: 1787.9841, usercpu_time_millis: 765.625, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4493, f_measure: 0.4785, kappa: -0.0604, kb_relative_information_score: -2.3662, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4774, predictive_accuracy: 0.48, prior_entropy: 0.99, recall: 0.48, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2756, scimark_benchmark: 1337.2339, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4884, kappa: -0.0399, kb_relative_information_score: -2.0669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4866, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4245, scimark_benchmark: 1577.3399, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4346, kappa: 0.0108, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.535, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1382.5134, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.76, kappa: 0.513, kb_relative_information_score: 46.0979, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8522, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7263, kappa: 0.4426, kb_relative_information_score: 34.7433, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.73, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9264, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6908, kappa: 0.3755, kb_relative_information_score: 18.8447, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6929, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9333, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6765, kappa: 0.3471, kb_relative_information_score: 6.0263, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6972, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9793, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.4544, kappa: 0.0359, kb_relative_information_score: 12.2168, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5823, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.321, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.521, kappa: 0.0307, kb_relative_information_score: 2.0142, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3957, scimark_benchmark: 1354.7023, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 33.9809, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9514, scimark_benchmark: 961.2347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7689, kappa: 0.5298, kb_relative_information_score: 39.1185, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7693, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8135, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7, kappa: 0.4085, kb_relative_information_score: 37.4204, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9574, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5123, kappa: 0.0712, kb_relative_information_score: 3.9862, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5485, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.1707, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.521, kappa: 0.0307, kb_relative_information_score: 0.0609, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0414, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7786, kappa: 0.5492, kb_relative_information_score: 46.9151, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7705, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.4967, kappa: -0.0135, kb_relative_information_score: 0.7037, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4997, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0922, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.6249, kappa: 0.2362, kb_relative_information_score: 24.46, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6261, predictive_accuracy: 0.63, prior_entropy: 0.99, recall: 0.63, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.6137, kappa: 0.2136, kb_relative_information_score: 22.4194, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6154, predictive_accuracy: 0.62, prior_entropy: 0.99, recall: 0.62, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6817, kappa: 0.3536, kb_relative_information_score: 36.7031, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6911, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.6138, kappa: 0.2207, kb_relative_information_score: 24.46, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.628, predictive_accuracy: 0.63, prior_entropy: 0.99, recall: 0.63, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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