Task
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: 0.8773, f_measure: 0.8077, kappa: 0.6122, kb_relative_information_score: 1713.537, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1701.1325, usercpu_time_millis: 12095.297, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 12091.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7552, kappa: 0.5061, kb_relative_information_score: 1323.5162, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8142, scimark_benchmark: 1736.5981, usercpu_time_millis: 3707.458, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 3705.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7972, kappa: 0.5909, kb_relative_information_score: 1621.0815, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 1715.5791, usercpu_time_millis: 14321.203, usercpu_time_millis_testing: 4.972, usercpu_time_millis_training: 14316.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 990.6686, mean_absolute_error: 0.3845, 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: 0.7745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8629, scimark_benchmark: 1360.74, usercpu_time_millis: 451.423, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 449.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.794, kappa: 0.5843, kb_relative_information_score: 1509.3862, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7769, scimark_benchmark: 1736.5552, usercpu_time_millis: 2644.244, usercpu_time_millis_testing: 3.015, usercpu_time_millis_training: 2641.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1549, 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: 1728.4716, usercpu_time_millis: 9.661, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 8.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0085, 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: 1746.5506, usercpu_time_millis: 7.53, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.005, 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: 1747.2058, usercpu_time_millis: 10.438, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 8.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7199, kappa: 0.435, kb_relative_information_score: 618.4038, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7224, predictive_accuracy: 0.7222, prior_entropy: 0.9948, recall: 0.7222, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8915, scimark_benchmark: 1719.4012, usercpu_time_millis: 10.389, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 9.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1479.8432, mean_absolute_error: 0.3192, 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: 0.6431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1689.8079, usercpu_time_millis: 2920.975, usercpu_time_millis_testing: 10.4, usercpu_time_millis_training: 2910.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7859, kappa: 0.5682, kb_relative_information_score: 1432.2511, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7885, scimark_benchmark: 1738.2739, usercpu_time_millis: 2068.682, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 2065.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1576.6678, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 2126.2155, usercpu_time_millis: 2147.929, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 2145.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1671.3226, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, scimark_benchmark: 1801.0759, usercpu_time_millis: 3308.832, usercpu_time_millis_testing: 3.787, usercpu_time_millis_training: 3305.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7851, kappa: 0.5665, kb_relative_information_score: 1448.5989, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7886, scimark_benchmark: 1751.3999, usercpu_time_millis: 3384.337, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 3382.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7913, kappa: 0.5789, kb_relative_information_score: 1481.7741, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1361.0165, usercpu_time_millis: 1714.644, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 1712.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 875.1875, mean_absolute_error: 0.3999, 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: 0.8055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1360.4928, usercpu_time_millis: 40.827, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 39.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7609, kappa: 0.5176, kb_relative_information_score: 1309.1437, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8169, scimark_benchmark: 1358.2902, usercpu_time_millis: 3949.853, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 3947.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1450.2601, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901, scimark_benchmark: 1365.9069, usercpu_time_millis: 8059.396, usercpu_time_millis_testing: 3.623, usercpu_time_millis_training: 8055.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7711, kappa: 0.5381, kb_relative_information_score: 1106.9618, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7716, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1360.2428, usercpu_time_millis: 512.44, usercpu_time_millis_testing: 3.508, usercpu_time_millis_training: 508.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1399.0998, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7805, scimark_benchmark: 1358.0832, usercpu_time_millis: 1242.04, usercpu_time_millis_testing: 4.304, usercpu_time_millis_training: 1237.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7961, kappa: 0.5887, kb_relative_information_score: 1539.6196, mean_absolute_error: 0.3096, 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: 0.6237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7725, scimark_benchmark: 1752.7061, usercpu_time_millis: 4628.307, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 4625.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1600.0684, mean_absolute_error: 0.3018, 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: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 2124.6658, usercpu_time_millis: 2138.591, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 2136.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1609.304, mean_absolute_error: 0.3003, 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: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1845.7061, usercpu_time_millis: 4986.533, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 4982.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1717.4375, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1363.5505, usercpu_time_millis: 18189.285, usercpu_time_millis_testing: 4.721, usercpu_time_millis_training: 18184.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1373.548, mean_absolute_error: 0.3321, 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: 0.669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1358.2346, usercpu_time_millis: 4207.741, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 4203.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1566.8063, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7671, scimark_benchmark: 1359.6934, usercpu_time_millis: 7516.315, usercpu_time_millis_testing: 4.352, usercpu_time_millis_training: 7511.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1694.0771, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1361.9354, usercpu_time_millis: 7393.508, usercpu_time_millis_testing: 6.332, usercpu_time_millis_training: 7387.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.784, kappa: 0.5643, kb_relative_information_score: 1547.8225, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7859, scimark_benchmark: 1758.2591, usercpu_time_millis: 10400.558, usercpu_time_millis_testing: 2.954, usercpu_time_millis_training: 10397.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8039, kappa: 0.6046, kb_relative_information_score: 1732.5349, mean_absolute_error: 0.2816, 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: 0.5672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.755, scimark_benchmark: 1735.5942, usercpu_time_millis: 8788.617, usercpu_time_millis_testing: 3.395, usercpu_time_millis_training: 8785.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 966.2692, mean_absolute_error: 0.3879, 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: 0.7814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8809, scimark_benchmark: 1797.8545, usercpu_time_millis: 304.592, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 303.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.76, kappa: 0.5157, kb_relative_information_score: 1111.503, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8311, scimark_benchmark: 1859.6666, usercpu_time_millis: 323.723, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 322.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7696, kappa: 0.5352, kb_relative_information_score: 1187.2016, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1860.8909, usercpu_time_millis: 509.432, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 507.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7878, kappa: 0.5721, kb_relative_information_score: 1198.2012, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1863.6253, usercpu_time_millis: 23.374, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 22.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7818, kappa: 0.56, kb_relative_information_score: 1317.6473, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8012, scimark_benchmark: 1733.6048, usercpu_time_millis: 31.479, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 30.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.1025, 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: 1832.754, usercpu_time_millis: 8.245, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 6.915,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7966, kappa: 0.5898, kb_relative_information_score: 1519.9127, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 1726.1942, usercpu_time_millis: 159.423, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 158.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7926, kappa: 0.582, kb_relative_information_score: 1753.6301, mean_absolute_error: 0.2757, 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: 0.5553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7773, scimark_benchmark: 1739.0587, usercpu_time_millis: 137.447, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 136.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7561, kappa: 0.5081, kb_relative_information_score: 1148.2936, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1697.1935, usercpu_time_millis: 516.265, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 514.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7857, kappa: 0.5676, kb_relative_information_score: 1466.2953, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1724.4712, usercpu_time_millis: 794.046, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 792.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7534, kappa: 0.5023, kb_relative_information_score: 1141.6983, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374, scimark_benchmark: 1701.3425, usercpu_time_millis: 1166.701, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 1164.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1377.9756, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7923, scimark_benchmark: 1725.3223, usercpu_time_millis: 1238.292, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 1235.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8026, kappa: 0.602, kb_relative_information_score: 1790.0931, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1742.1343, usercpu_time_millis: 3131.146, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 3128.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7941, kappa: 0.5847, kb_relative_information_score: 1412.597, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1722.7088, usercpu_time_millis: 2347.337, usercpu_time_millis_testing: 3.137, usercpu_time_millis_training: 2344.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.793, kappa: 0.5824, kb_relative_information_score: 1456.0869, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7779, scimark_benchmark: 1735.1328, usercpu_time_millis: 1811.231, usercpu_time_millis_testing: 3.499, usercpu_time_millis_training: 1807.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7872, kappa: 0.5708, kb_relative_information_score: 1439.3359, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1720.061, usercpu_time_millis: 2338.661, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 2335.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8087, kappa: 0.6142, kb_relative_information_score: 1651.9065, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7528, scimark_benchmark: 2092.6198, usercpu_time_millis: 3096.041, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 3092.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1600.4108, mean_absolute_error: 0.3017, 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: 0.6077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7612, scimark_benchmark: 1757.2691, usercpu_time_millis: 4256.258, usercpu_time_millis_testing: 3.549, usercpu_time_millis_training: 4252.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7822, kappa: 0.5605, kb_relative_information_score: 1409.7576, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1706.873, usercpu_time_millis: 3658.823, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 3655.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7684, kappa: 0.5328, kb_relative_information_score: 1236.1308, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 748.8775, usercpu_time_millis: 420.699, usercpu_time_millis_testing: 2.917, usercpu_time_millis_training: 417.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8009, kappa: 0.5985, kb_relative_information_score: 1403.8991, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1725.4693, usercpu_time_millis: 624.764, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 620.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7684, kappa: 0.5326, kb_relative_information_score: 1320.5326, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1870.3486, usercpu_time_millis: 2530.163, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 2528.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1304.3887, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 748.665, usercpu_time_millis: 991.381, usercpu_time_millis_testing: 4.513, usercpu_time_millis_training: 986.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7463, kappa: 0.489, kb_relative_information_score: 1213.8445, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1714.2313, usercpu_time_millis: 1814.221, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 1812.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1625.3443, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1724.8648, usercpu_time_millis: 1897.681, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 1896.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8083, kappa: 0.6133, kb_relative_information_score: 1689.3913, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1751.9777, usercpu_time_millis: 3162.968, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 3161.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1519.1815, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 1726.5817, usercpu_time_millis: 2508.257, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 2505.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8047, kappa: 0.6062, kb_relative_information_score: 1566.9845, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7609, scimark_benchmark: 1729.728, usercpu_time_millis: 2947.862, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 2943.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7886, kappa: 0.5737, kb_relative_information_score: 1497.6679, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, 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: 1756.4432, usercpu_time_millis: 4230.231, usercpu_time_millis_testing: 2.285, usercpu_time_millis_training: 4227.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1539.3343, mean_absolute_error: 0.3096, 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: 0.6236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 749.6125, usercpu_time_millis: 2943.762, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 2940.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7769, kappa: 0.5498, kb_relative_information_score: 1422.7913, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1723.7071, usercpu_time_millis: 11097.214, usercpu_time_millis_testing: 4.19, usercpu_time_millis_training: 11093.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8035, kappa: 0.6038, kb_relative_information_score: 1753.4059, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 1706.8723, usercpu_time_millis: 11144.949, usercpu_time_millis_testing: 3.637, usercpu_time_millis_training: 11141.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7476, kappa: 0.4912, kb_relative_information_score: 1215.2419, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8356, scimark_benchmark: 1500.5807, usercpu_time_millis: 787.483, usercpu_time_millis_testing: 1.611, usercpu_time_millis_training: 785.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.767, kappa: 0.5299, kb_relative_information_score: 1305.1489, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155, scimark_benchmark: 1716.8263, usercpu_time_millis: 218.37, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 217.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1467.4534, mean_absolute_error: 0.3194, 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: 0.6433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1362.0013, usercpu_time_millis: 5263.946, usercpu_time_millis_testing: 3.899, usercpu_time_millis_training: 5260.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7577, kappa: 0.511, kb_relative_information_score: 1298.6592, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8197, scimark_benchmark: 1754.5229, usercpu_time_millis: 2942.556, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 2939.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.81, kappa: 0.6167, kb_relative_information_score: 1541.2169, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 2121.2879, usercpu_time_millis: 621.179, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 618.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7929, kappa: 0.5822, kb_relative_information_score: 1408.1919, mean_absolute_error: 0.3282, 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: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7845, scimark_benchmark: 1683.6241, usercpu_time_millis: 2248.3, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 2244.555,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs