OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.6633, kappa: 0.327, kb_relative_information_score: 324.1072, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.6737, prior_entropy: 0.9948, recall: 0.6737, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9425, scimark_benchmark: 1737.0701, usercpu_time_millis: 8.674, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 7.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7609, kappa: 0.5179, kb_relative_information_score: 915.4344, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8422, scimark_benchmark: 1765.7673, usercpu_time_millis: 9.977, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 9.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7336, kappa: 0.4624, kb_relative_information_score: 769.0526, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7343, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8683, scimark_benchmark: 1840.7617, usercpu_time_millis: 9.647, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 8.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0944, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1731.5618, usercpu_time_millis: 10.409, usercpu_time_millis_testing: 1.571, usercpu_time_millis_training: 8.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7407, kappa: 0.4767, kb_relative_information_score: 808.784, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8663, scimark_benchmark: 1837.6889, usercpu_time_millis: 6.05, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 5.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6166, kappa: 0.2625, kb_relative_information_score: 191.8074, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6833, predictive_accuracy: 0.6494, prior_entropy: 0.9948, recall: 0.6494, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9654, scimark_benchmark: 1844.3388, usercpu_time_millis: 6.348, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 5.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6191, kappa: 0.2582, kb_relative_information_score: 212.0168, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6671, predictive_accuracy: 0.6457, prior_entropy: 0.9948, recall: 0.6457, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9619, scimark_benchmark: 1730.1903, usercpu_time_millis: 5.926, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 5.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1841.1596, usercpu_time_millis: 6.427, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1655.3538, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1858.0974, usercpu_time_millis: 7563.577, usercpu_time_millis_testing: 4.329, usercpu_time_millis_training: 7559.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7771, kappa: 0.5503, kb_relative_information_score: 1526.6831, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895, scimark_benchmark: 1858.6076, usercpu_time_millis: 7082.999, usercpu_time_millis_testing: 2.478, usercpu_time_millis_training: 7080.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8015, kappa: 0.5995, kb_relative_information_score: 1566.9817, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1829.5664, usercpu_time_millis: 3537.832, usercpu_time_millis_testing: 4.211, usercpu_time_millis_training: 3533.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1613.4854, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1847.3482, usercpu_time_millis: 2370.157, usercpu_time_millis_testing: 1.839, usercpu_time_millis_training: 2368.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7801, kappa: 0.5562, kb_relative_information_score: 1373.3749, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8011, scimark_benchmark: 1852.9259, usercpu_time_millis: 2215.615, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 2212.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8057, kappa: 0.6082, kb_relative_information_score: 1575.1174, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7575, scimark_benchmark: 1757.6755, usercpu_time_millis: 1867.906, usercpu_time_millis_testing: 3.561, usercpu_time_millis_training: 1864.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8071, kappa: 0.6108, kb_relative_information_score: 1633.2058, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1849.8294, usercpu_time_millis: 1845.193, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 1843.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1371.5163, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1848.1514, usercpu_time_millis: 1780.708, usercpu_time_millis_testing: 3.963, usercpu_time_millis_training: 1776.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8069, kappa: 0.6107, kb_relative_information_score: 1692.4183, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1847.3406, usercpu_time_millis: 1344.357, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 1342.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1723.0244, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1841.0071, usercpu_time_millis: 1323.424, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 1322.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7785, kappa: 0.5531, kb_relative_information_score: 1372.1336, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8, scimark_benchmark: 1857.1082, usercpu_time_millis: 1305.668, usercpu_time_millis_testing: 2.613, usercpu_time_millis_training: 1303.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7782, kappa: 0.5526, kb_relative_information_score: 1363.4029, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1854.4951, usercpu_time_millis: 1198.72, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 1196.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1581.3625, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7644, scimark_benchmark: 1853.3841, usercpu_time_millis: 941.574, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 940.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7933, kappa: 0.583, kb_relative_information_score: 1453.195, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7775, scimark_benchmark: 1732.9618, usercpu_time_millis: 903.521, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 900.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1485.1942, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1852.9259, usercpu_time_millis: 684.144, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 682.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.813, kappa: 0.6228, kb_relative_information_score: 1535.1685, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7569, scimark_benchmark: 1834.7867, usercpu_time_millis: 660.32, usercpu_time_millis_testing: 3.944, usercpu_time_millis_training: 656.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.799, kappa: 0.5947, kb_relative_information_score: 1434.3171, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.799, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1844.7928, usercpu_time_millis: 507.442, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 505.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7925, kappa: 0.5815, kb_relative_information_score: 1471.3349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7817, scimark_benchmark: 1845.9141, usercpu_time_millis: 504.676, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 503.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1000.7106, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8724, scimark_benchmark: 1855.0232, usercpu_time_millis: 389.001, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 387.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 1052.0625, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.417, root_relative_squared_error: 0.837, scimark_benchmark: 1844.1156, usercpu_time_millis: 317.112, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 315.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7578, kappa: 0.5112, kb_relative_information_score: 1320.0223, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8147, scimark_benchmark: 1846.8916, usercpu_time_millis: 280.021, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 279.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7364, kappa: 0.4701, kb_relative_information_score: 710.2757, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8882, scimark_benchmark: 1852.5406, usercpu_time_millis: 195.52, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 194.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.1303, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8772, scimark_benchmark: 1857.0384, usercpu_time_millis: 182.723, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 181.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7381, kappa: 0.4727, kb_relative_information_score: 793.2529, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874, scimark_benchmark: 1848.7762, usercpu_time_millis: 117.545, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 116.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 988.5741, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1848.7762, usercpu_time_millis: 79.443, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 78.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7628, kappa: 0.5218, kb_relative_information_score: 1751.4735, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8672, scimark_benchmark: 1847.8629, usercpu_time_millis: 35.962, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 35.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7146, kappa: 0.4241, kb_relative_information_score: 572.6296, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7149, predictive_accuracy: 0.7155, prior_entropy: 0.9948, recall: 0.7155, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9026, scimark_benchmark: 1844.9447, usercpu_time_millis: 26.751, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 25.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1499, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7835, usercpu_time_millis: 5.96, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 5.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1431, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 6.139, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 5.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.1914, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1841.8649, usercpu_time_millis: 4.996, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 4.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1598.315, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 1730.591, usercpu_time_millis: 7874.186, usercpu_time_millis_testing: 3.147, usercpu_time_millis_training: 7871.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7918, kappa: 0.58, kb_relative_information_score: 1517.563, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7761, scimark_benchmark: 1729.2293, usercpu_time_millis: 3828.512, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 3825.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7928, kappa: 0.5821, kb_relative_information_score: 1499.6627, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1716.0319, usercpu_time_millis: 3200.928, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 3198.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7855, kappa: 0.5672, kb_relative_information_score: 1394.3684, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1730.1903, usercpu_time_millis: 2516.281, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 2513.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1453.0287, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1722.1998, usercpu_time_millis: 2010.535, usercpu_time_millis_testing: 3.573, usercpu_time_millis_training: 2006.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1579.9174, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7588, scimark_benchmark: 1741.9506, usercpu_time_millis: 1955.496, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 1951.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 1739.9501, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7444, scimark_benchmark: 1846.7041, usercpu_time_millis: 1607.105, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 1603.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7837, kappa: 0.5635, kb_relative_information_score: 1471.4034, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7877, scimark_benchmark: 1725.3223, usercpu_time_millis: 1498.811, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 1497.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8045, kappa: 0.6057, kb_relative_information_score: 1530.4863, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1725.0026, usercpu_time_millis: 1361.582, usercpu_time_millis_testing: 3.457, usercpu_time_millis_training: 1358.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1686.1361, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7688, scimark_benchmark: 1727.4387, usercpu_time_millis: 683.481, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 682.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1478.0332, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7661, scimark_benchmark: 1755.5052, usercpu_time_millis: 654.18, usercpu_time_millis_testing: 3.686, usercpu_time_millis_training: 650.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7764, kappa: 0.5489, kb_relative_information_score: 1302.4876, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7769, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1722.1785, usercpu_time_millis: 517.813, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 516.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1421.546, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7709, scimark_benchmark: 1729.728, usercpu_time_millis: 531.689, usercpu_time_millis_testing: 5.202, usercpu_time_millis_training: 526.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7623, kappa: 0.5206, kb_relative_information_score: 1247.0611, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 1797.469, usercpu_time_millis: 493.859, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 492.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7427, kappa: 0.4815, kb_relative_information_score: 940.0514, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7426, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.855, scimark_benchmark: 1846.8201, usercpu_time_millis: 132.257, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 130.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7972, kappa: 0.591, kb_relative_information_score: 1450.7039, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7755, scimark_benchmark: 1732.4272, usercpu_time_millis: 188.216, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 186.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1548, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1746.5764, usercpu_time_millis: 6.058, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 5.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7971, kappa: 0.5909, kb_relative_information_score: 1308.7707, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7861, scimark_benchmark: 1846.3057, usercpu_time_millis: 35.552, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 34.335,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8098, kappa: 0.6164, kb_relative_information_score: 1652.1486, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1334.2784, usercpu_time_millis: 6553.419, usercpu_time_millis_testing: 7.068, usercpu_time_millis_training: 6546.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8067, kappa: 0.6102, kb_relative_information_score: 1731.502, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7474, scimark_benchmark: 1733.7613, usercpu_time_millis: 2993.094, usercpu_time_millis_testing: 3.985, usercpu_time_millis_training: 2989.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1677.1979, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7508, scimark_benchmark: 1753.6298, usercpu_time_millis: 2108.941, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 2107.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1552.8037, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1844.2676, usercpu_time_millis: 2166.981, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 2165.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1565.1846, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1837.1955, usercpu_time_millis: 1986.018, usercpu_time_millis_testing: 3.394, usercpu_time_millis_training: 1982.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7905, kappa: 0.5773, kb_relative_information_score: 1430.7256, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1836.7415, usercpu_time_millis: 1412.563, usercpu_time_millis_testing: 3.321, usercpu_time_millis_training: 1409.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1561.888, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 1731.9625, usercpu_time_millis: 1437.596, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 1435.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8015, kappa: 0.5997, kb_relative_information_score: 1585.6785, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 1729.728, usercpu_time_millis: 1127.827, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 1125.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1568.8346, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7582, scimark_benchmark: 1836.7415, usercpu_time_millis: 1068.411, usercpu_time_millis_testing: 2.673, usercpu_time_millis_training: 1065.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7582, kappa: 0.5124, kb_relative_information_score: 1225.9741, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1808.6867, usercpu_time_millis: 907.005, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 904.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8039, kappa: 0.6046, kb_relative_information_score: 1666.9666, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576, scimark_benchmark: 1720.8381, usercpu_time_millis: 697.657, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 696.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7582, kappa: 0.5123, kb_relative_information_score: 1022.3386, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8423, scimark_benchmark: 1733.1384, usercpu_time_millis: 437.195, usercpu_time_millis_testing: 1.914, usercpu_time_millis_training: 435.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1134.4585, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8228, scimark_benchmark: 1810.011, usercpu_time_millis: 454.642, usercpu_time_millis_testing: 2.172, usercpu_time_millis_training: 452.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1543.8667, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1770.8779, usercpu_time_millis: 183.883, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 182.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.139, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1784.7656, usercpu_time_millis: 7.369, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 6.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1019, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1727.4447, usercpu_time_millis: 10.371, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 8.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 884.9769, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739, scimark_benchmark: 1304.7936, usercpu_time_millis: 28.938, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 27.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7898, kappa: 0.5762, kb_relative_information_score: 1404.1471, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7859, scimark_benchmark: 1791.5816, usercpu_time_millis: 117.366, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 116.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7347, kappa: 0.4654, kb_relative_information_score: 544.9292, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7346, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9072, scimark_benchmark: 1726.9824, usercpu_time_millis: 49.872, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 48.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5492, kb_relative_information_score: 1338.545, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1837.6486, usercpu_time_millis: 27.754, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 27.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8045, kappa: 0.6059, kb_relative_information_score: 1726.1882, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1332.2617, usercpu_time_millis: 24691.191, usercpu_time_millis_testing: 5.62, usercpu_time_millis_training: 24685.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1637.9894, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1348.0364, usercpu_time_millis: 20175.185, usercpu_time_millis_testing: 7.022, usercpu_time_millis_training: 20168.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5888, kb_relative_information_score: 1564.7311, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1342.8343, usercpu_time_millis: 9775.819, usercpu_time_millis_testing: 5.342, usercpu_time_millis_training: 9770.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8054, kappa: 0.6075, kb_relative_information_score: 1665.2475, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7538, scimark_benchmark: 1349.7235, usercpu_time_millis: 22691.122, usercpu_time_millis_testing: 7.878, usercpu_time_millis_training: 22683.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7998, kappa: 0.5963, kb_relative_information_score: 1795.0509, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7603, scimark_benchmark: 1348.5864, usercpu_time_millis: 15435.83, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 15431.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1650.2544, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7614, scimark_benchmark: 1342.2856, usercpu_time_millis: 18917.793, usercpu_time_millis_testing: 6.985, usercpu_time_millis_training: 18910.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7916, kappa: 0.5796, kb_relative_information_score: 1456.1577, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7817, scimark_benchmark: 1350.8793, usercpu_time_millis: 4931.008, usercpu_time_millis_testing: 4.94, usercpu_time_millis_training: 4926.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1659.8867, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525, scimark_benchmark: 1345.7039, usercpu_time_millis: 5865.158, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 5861.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7976, kappa: 0.5917, kb_relative_information_score: 1503.6333, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1348.0061, usercpu_time_millis: 3164.68, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 3161.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1518.5142, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1333.2762, usercpu_time_millis: 12166.548, usercpu_time_millis_testing: 5.356, usercpu_time_millis_training: 12161.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8036, kappa: 0.6038, kb_relative_information_score: 1607.823, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7592, scimark_benchmark: 1345.4798, usercpu_time_millis: 4352.286, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 4348.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7747, kappa: 0.5454, kb_relative_information_score: 1403.392, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7975, scimark_benchmark: 1342.7485, usercpu_time_millis: 9043.555, usercpu_time_millis_testing: 4.472, usercpu_time_millis_training: 9039.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1552.7378, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763, scimark_benchmark: 1351.0018, usercpu_time_millis: 744.016, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 742.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7915, kappa: 0.5794, kb_relative_information_score: 1497.307, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1139.8834, usercpu_time_millis: 11464.202, usercpu_time_millis_testing: 5.389, usercpu_time_millis_training: 11458.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1548.4721, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.765, scimark_benchmark: 1345.7019, usercpu_time_millis: 4033.826, usercpu_time_millis_testing: 4.469, usercpu_time_millis_training: 4029.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8058, kappa: 0.6084, kb_relative_information_score: 1673.1514, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1320.3424, usercpu_time_millis: 1613.438, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 1611.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1554.8432, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1344.2415, usercpu_time_millis: 6380.294, usercpu_time_millis_testing: 3.718, usercpu_time_millis_training: 6376.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7896, kappa: 0.5754, kb_relative_information_score: 1338.3961, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7901, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7918, scimark_benchmark: 1348.9406, usercpu_time_millis: 1909.937, usercpu_time_millis_testing: 4.256, usercpu_time_millis_training: 1905.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1662.2619, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1195.7511, usercpu_time_millis: 15815.743, usercpu_time_millis_testing: 5.469, usercpu_time_millis_training: 15810.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.758, kappa: 0.5117, kb_relative_information_score: 1233.7497, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8272, scimark_benchmark: 1358.6151, usercpu_time_millis: 1326.953, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 1324.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7907, kappa: 0.5776, kb_relative_information_score: 1521.1145, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7787, scimark_benchmark: 1154.8705, usercpu_time_millis: 5395.686, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 5393.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7515, kappa: 0.4986, kb_relative_information_score: 902.107, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8525, scimark_benchmark: 1342.2093, usercpu_time_millis: 203.199, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 200.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0022, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1340.8949, usercpu_time_millis: 10.117, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 8.042,

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