Task
Supervised Classification on fri_c3_500_25

Supervised Classification on fri_c3_500_25

Task 3759 Supervised Classification fri_c3_500_25 593 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: 0.864, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 291.9153, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9897, recall: 0.832, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6339, kappa: 0.2548, kb_relative_information_score: 84.8731, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6335, predictive_accuracy: 0.636, prior_entropy: 0.9897, recall: 0.636, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6203, kappa: 0.2273, kb_relative_information_score: 79.963, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6196, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6203, kappa: 0.2273, kb_relative_information_score: 69.3817, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6196, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8536, kappa: 0.7024, kb_relative_information_score: 294.9267, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.6189, kappa: 0.2251, kb_relative_information_score: 71.3943, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6183, predictive_accuracy: 0.62, prior_entropy: 0.9897, recall: 0.62, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8516, kappa: 0.6982, kb_relative_information_score: 355.7402, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9897, recall: 0.852, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6317, kappa: 0.2504, kb_relative_information_score: 83.2191, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6313, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8802, kappa: 0.7572, kb_relative_information_score: 328.633, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8806, predictive_accuracy: 0.88, prior_entropy: 0.9897, recall: 0.88, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7404, kappa: 0.4745, kb_relative_information_score: 224.9111, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.9897, recall: 0.74, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6714, kappa: 0.331, kb_relative_information_score: 89.0809, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6718, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6419, kappa: 0.2732, kb_relative_information_score: 86.3739, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6418, predictive_accuracy: 0.642, prior_entropy: 0.9897, recall: 0.642, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.7212, kappa: 0.4322, kb_relative_information_score: 56.2594, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.723, predictive_accuracy: 0.724, prior_entropy: 0.9897, recall: 0.724, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.611, kappa: 0.2078, kb_relative_information_score: 104.4694, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6105, predictive_accuracy: 0.614, prior_entropy: 0.9897, recall: 0.614, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8799, kappa: 0.7563, kb_relative_information_score: 321.1262, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9897, recall: 0.88, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 219.2325, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8344, kappa: 0.6649, kb_relative_information_score: 295.0382, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8355, predictive_accuracy: 0.834, prior_entropy: 0.9897, recall: 0.834, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8722, kappa: 0.741, kb_relative_information_score: 336.6916, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9897, recall: 0.872, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 170.8814, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.9897, recall: 0.75, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6508, kappa: 0.2897, kb_relative_information_score: 93.412, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6503, predictive_accuracy: 0.652, prior_entropy: 0.9897, recall: 0.652, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.637, kappa: 0.2608, kb_relative_information_score: 132.4252, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9897, recall: 0.64, relative_absolute_error: 0.7305, 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: 0.8393, f_measure: 0.8381, kappa: 0.6717, kb_relative_information_score: 327.9338, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9897, recall: 0.838, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 86.5369, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6164, kappa: 0.2189, kb_relative_information_score: 76.0678, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6176, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7372, kappa: 0.4655, kb_relative_information_score: 232.4759, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7371, predictive_accuracy: 0.738, prior_entropy: 0.9897, recall: 0.738, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8381, kappa: 0.6717, kb_relative_information_score: 327.9338, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9897, recall: 0.838, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8081, kappa: 0.6108, kb_relative_information_score: 265.4172, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9897, recall: 0.808, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6312, kappa: 0.2503, kb_relative_information_score: 82.8967, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6307, predictive_accuracy: 0.632, prior_entropy: 0.9897, recall: 0.632, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6397, kappa: 0.2662, kb_relative_information_score: 136.5089, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6407, predictive_accuracy: 0.644, prior_entropy: 0.9897, recall: 0.644, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 86.5369, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6877, kappa: 0.4029, kb_relative_information_score: 185.5133, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.692, prior_entropy: 0.9897, recall: 0.692, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6877, kappa: 0.4029, kb_relative_information_score: 185.5133, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.692, prior_entropy: 0.9897, recall: 0.692, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6877, kappa: 0.4029, kb_relative_information_score: 185.5133, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.692, prior_entropy: 0.9897, recall: 0.692, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6877, kappa: 0.4029, kb_relative_information_score: 185.5133, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.692, prior_entropy: 0.9897, recall: 0.692, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6654, kappa: 0.3187, kb_relative_information_score: 83.7483, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.9897, recall: 0.67, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8105, kappa: 0.6169, kb_relative_information_score: 212.3032, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9897, recall: 0.81, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7926, kappa: 0.5812, kb_relative_information_score: 287.6058, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7948, predictive_accuracy: 0.792, prior_entropy: 0.9897, recall: 0.792, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.6894, kappa: 0.3684, kb_relative_information_score: 189.597, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6962, predictive_accuracy: 0.696, prior_entropy: 0.9897, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.6345, kappa: 0.2556, kb_relative_information_score: 130.3834, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6347, predictive_accuracy: 0.638, prior_entropy: 0.9897, recall: 0.638, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6684, kappa: 0.325, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, scimark_benchmark: 1959.6455, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.6345, kappa: 0.2556, kb_relative_information_score: 130.3834, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6347, predictive_accuracy: 0.638, prior_entropy: 0.9897, recall: 0.638, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121, scimark_benchmark: 1544.6342, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8738, kappa: 0.7437, kb_relative_information_score: 371.3216, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9897, recall: 0.874, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7151, usercpu_time_millis: 26.18, usercpu_time_millis_testing: 6.99, usercpu_time_millis_training: 19.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8818, kappa: 0.7597, kb_relative_information_score: 379.489, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.692, usercpu_time_millis: 128.46, usercpu_time_millis_testing: 57.42, usercpu_time_millis_training: 71.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7823, kappa: 0.5688, kb_relative_information_score: 277.3966, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8004, predictive_accuracy: 0.782, prior_entropy: 0.9897, recall: 0.782, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9406, usercpu_time_millis: 54.27, usercpu_time_millis_testing: 12.53, usercpu_time_millis_training: 41.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 86.5369, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9754, scimark_benchmark: 1376.5165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6273, kappa: 0.2509, kb_relative_information_score: 81.7868, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6323, predictive_accuracy: 0.626, prior_entropy: 0.9897, recall: 0.626, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0021, scimark_benchmark: 1273.6332, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 79.5048, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9537, scimark_benchmark: 1259.287, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8781, kappa: 0.753, kb_relative_information_score: 348.5415, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8784, predictive_accuracy: 0.878, prior_entropy: 0.9897, recall: 0.878, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5844, scimark_benchmark: 1212.7893, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8279, kappa: 0.6506, kb_relative_information_score: 280.1281, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9897, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7636, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8719, kappa: 0.7398, kb_relative_information_score: 239.0262, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9897, recall: 0.872, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6658, scimark_benchmark: 1892.0925, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6203, kappa: 0.2273, kb_relative_information_score: 79.963, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6196, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0012, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 332.6616, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9897, recall: 0.842, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7801, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 79.5048, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9537, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 291.9153, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9897, recall: 0.832, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7545, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6254, kappa: 0.2473, kb_relative_information_score: 81.7478, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6306, predictive_accuracy: 0.624, prior_entropy: 0.9897, recall: 0.624, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0019, scimark_benchmark: 1834.908, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8781, kappa: 0.753, kb_relative_information_score: 348.5415, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8784, predictive_accuracy: 0.878, prior_entropy: 0.9897, recall: 0.878, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5844, scimark_benchmark: 1834.908, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8781, kappa: 0.753, kb_relative_information_score: 348.5415, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8784, predictive_accuracy: 0.878, prior_entropy: 0.9897, recall: 0.878, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5844, scimark_benchmark: 1788.6668, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 348.5379, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9897, recall: 0.888, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5788, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8419, kappa: 0.6789, kb_relative_information_score: 304.6881, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9897, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7361, 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: 0.7125, f_measure: 0.681, kappa: 0.3505, kb_relative_information_score: 106.0676, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6845, predictive_accuracy: 0.686, prior_entropy: 0.9897, recall: 0.686, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9369, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6581, kappa: 0.3036, kb_relative_information_score: 82.6958, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6593, predictive_accuracy: 0.662, prior_entropy: 0.9897, recall: 0.662, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9293, 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: 0.6289, f_measure: 0.637, kappa: 0.2608, kb_relative_information_score: 132.4252, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9897, recall: 0.64, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2087, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6209, kappa: 0.2286, kb_relative_information_score: 120.1742, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6237, predictive_accuracy: 0.628, prior_entropy: 0.9897, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, scimark_benchmark: 933.626, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 291.9153, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9897, recall: 0.832, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7545, scimark_benchmark: 963.208, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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