OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.3885, kappa: 0.0076, kb_relative_information_score: 305.6146, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.5455, prior_entropy: 0.9948, recall: 0.5455, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6742, root_relative_squared_error: 1.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7505, kappa: 0.4964, kb_relative_information_score: 1867.6479, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7513, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.5143, kappa: 0.0218, kb_relative_information_score: 69.1878, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5144, predictive_accuracy: 0.5143, prior_entropy: 0.9948, recall: 0.5143, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7299, kappa: 0.4554, kb_relative_information_score: 1705.9886, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7298, predictive_accuracy: 0.7302, prior_entropy: 0.9948, recall: 0.7302, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.5998, kappa: 0.2304, kb_relative_information_score: 978.5216, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6618, predictive_accuracy: 0.6342, prior_entropy: 0.9948, recall: 0.6342, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.2139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.7466, kappa: 0.4886, kb_relative_information_score: 1839.3576, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7476, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7123, kappa: 0.42, kb_relative_information_score: 1572.6196, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.7126, prior_entropy: 0.9948, recall: 0.7126, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6833, kappa: 0.3615, kb_relative_information_score: 1352.3588, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6831, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5278, kappa: 0.0482, kb_relative_information_score: 174.2664, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5275, predictive_accuracy: 0.5281, prior_entropy: 0.9948, recall: 0.5281, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6869, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7471, kappa: 0.4901, kb_relative_information_score: 1837.3368, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7471, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.5214, kappa: 0.0358, kb_relative_information_score: 123.7478, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5214, predictive_accuracy: 0.5215, prior_entropy: 0.9948, recall: 0.5215, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7413, kappa: 0.4787, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7473, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6306, kappa: 0.2923, kb_relative_information_score: 1204.8446, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7092, predictive_accuracy: 0.6641, prior_entropy: 0.9948, recall: 0.6641, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5237, kappa: 0.0403, kb_relative_information_score: 141.9345, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5236, predictive_accuracy: 0.5239, prior_entropy: 0.9948, recall: 0.5239, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.69, root_relative_squared_error: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6919, kappa: 0.3876, kb_relative_information_score: 1509.9767, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7043, prior_entropy: 0.9948, recall: 0.7043, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5223, kappa: 0.0374, kb_relative_information_score: 131.8308, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5221, predictive_accuracy: 0.5225, prior_entropy: 0.9948, recall: 0.5225, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7044, kappa: 0.4036, kb_relative_information_score: 1516.0389, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7044, predictive_accuracy: 0.7051, prior_entropy: 0.9948, recall: 0.7051, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.543, root_relative_squared_error: 1.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5198, kappa: 0.0327, kb_relative_information_score: 111.6234, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5198, predictive_accuracy: 0.5199, prior_entropy: 0.9948, recall: 0.5199, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7723, kappa: 0.5406, kb_relative_information_score: 2031.328, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.773, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.6099, kappa: 0.214, kb_relative_information_score: 794.6341, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6098, predictive_accuracy: 0.61, prior_entropy: 0.9948, recall: 0.61, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6885, kappa: 0.3729, kb_relative_information_score: 1388.7321, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6887, predictive_accuracy: 0.6883, prior_entropy: 0.9948, recall: 0.6883, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5125, kappa: 0.0181, kb_relative_information_score: 55.0426, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5126, predictive_accuracy: 0.5124, prior_entropy: 0.9948, recall: 0.5124, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7434, kappa: 0.483, kb_relative_information_score: 1807.0257, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.7441, kappa: 0.484, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.744, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6894, kappa: 0.3739, kb_relative_information_score: 1398.8359, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6892, predictive_accuracy: 0.6897, prior_entropy: 0.9948, recall: 0.6897, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5222, kappa: 0.0374, kb_relative_information_score: 129.81, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5221, predictive_accuracy: 0.5223, prior_entropy: 0.9948, recall: 0.5223, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6778, kappa: 0.3544, kb_relative_information_score: 1372.5662, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.6862, prior_entropy: 0.9948, recall: 0.6862, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.552, kappa: 0.0961, kb_relative_information_score: 366.2368, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5514, predictive_accuracy: 0.5535, prior_entropy: 0.9948, recall: 0.5535, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6682, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6682, kappa: 0.3319, kb_relative_information_score: 1235.1558, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6684, predictive_accuracy: 0.6681, prior_entropy: 0.9948, recall: 0.6681, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7619, kappa: 0.5208, kb_relative_information_score: 1944.4361, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5183, kappa: 0.0302, kb_relative_information_score: 97.4782, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5186, predictive_accuracy: 0.518, prior_entropy: 0.9948, recall: 0.518, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6943, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7135, kappa: 0.4223, kb_relative_information_score: 1582.7234, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7134, predictive_accuracy: 0.7139, prior_entropy: 0.9948, recall: 0.7139, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7514, kappa: 0.4996, kb_relative_information_score: 1865.6272, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7516, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5279, kappa: 0.0481, kb_relative_information_score: 176.2871, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5275, predictive_accuracy: 0.5284, prior_entropy: 0.9948, recall: 0.5284, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 1926.2495, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5145, kappa: 0.0221, kb_relative_information_score: 71.2085, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5146, predictive_accuracy: 0.5145, prior_entropy: 0.9948, recall: 0.5145, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6331, kappa: 0.2609, kb_relative_information_score: 970.4386, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6331, predictive_accuracy: 0.6332, prior_entropy: 0.9948, recall: 0.6332, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6057, root_relative_squared_error: 1.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.5133, kappa: 0.019, kb_relative_information_score: 65.1463, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.513, predictive_accuracy: 0.5137, prior_entropy: 0.9948, recall: 0.5137, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6973, root_relative_squared_error: 1.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 1748.4242, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.47, kappa: 0.0894, kb_relative_information_score: 560.228, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.579, prior_entropy: 0.9948, recall: 0.579, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6488, root_relative_squared_error: 1.3023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7201, kappa: 0.4359, kb_relative_information_score: 1631.2212, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.72, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5042, kappa: 0.127, kb_relative_information_score: 677.4311, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6908, predictive_accuracy: 0.5945, prior_entropy: 0.9948, recall: 0.5945, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7592, kappa: 0.5155, kb_relative_information_score: 1924.2287, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7782, kappa: 0.5524, kb_relative_information_score: 2075.7843, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7789, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6834, kappa: 0.3619, kb_relative_information_score: 1352.3588, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6832, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7345, kappa: 0.4648, kb_relative_information_score: 1740.3412, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7344, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7654, kappa: 0.5269, kb_relative_information_score: 1990.9132, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5158, kappa: 0.0247, kb_relative_information_score: 81.3122, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5158, predictive_accuracy: 0.5159, prior_entropy: 0.9948, recall: 0.5159, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5208, kappa: 0.0347, kb_relative_information_score: 119.7063, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5208, predictive_accuracy: 0.5209, prior_entropy: 0.9948, recall: 0.5209, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3893,

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