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: 0.7984, f_measure: 0.74, kappa: 0.4758, kb_relative_information_score: 660.1831, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8901, scimark_benchmark: 1852.4707, usercpu_time_millis: 59.154, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 58.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 735.7596, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8856, scimark_benchmark: 1854.4951, usercpu_time_millis: 52.1, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 51.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7975, kappa: 0.5916, kb_relative_information_score: 1349.5218, mean_absolute_error: 0.3368, 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: 0.6784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7867, scimark_benchmark: 1842.8383, usercpu_time_millis: 75.257, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 74.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7545, kappa: 0.5046, kb_relative_information_score: 1139.9892, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8383, scimark_benchmark: 1842.8383, usercpu_time_millis: 117.936, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 117.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7553, kappa: 0.5063, kb_relative_information_score: 881.2233, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8584, scimark_benchmark: 1848.321, usercpu_time_millis: 122.559, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 121.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7374, kappa: 0.4719, kb_relative_information_score: 693.2624, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8886, scimark_benchmark: 1130.7136, usercpu_time_millis: 106.425, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 104.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.6792, mean_absolute_error: 0.3881, 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: 0.7818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1841.2811, usercpu_time_millis: 104.401, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 103.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7518, kappa: 0.4992, kb_relative_information_score: 823.5502, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8656, scimark_benchmark: 1844.4297, usercpu_time_millis: 108.992, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 107.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7484, kappa: 0.4924, kb_relative_information_score: 805.4112, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8685, scimark_benchmark: 1840.0576, usercpu_time_millis: 115.746, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 114.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 757.4423, mean_absolute_error: 0.4147, 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: 0.8353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.883, scimark_benchmark: 1851.4874, usercpu_time_millis: 146.016, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 144.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 977.2081, mean_absolute_error: 0.3864, 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: 0.7784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1838.2372, usercpu_time_millis: 136.123, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 134.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.9087, mean_absolute_error: 0.3885, 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: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1840.2451, usercpu_time_millis: 124.153, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 123.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 899.2925, mean_absolute_error: 0.3968, 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: 0.7993, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8756, scimark_benchmark: 1843.2259, usercpu_time_millis: 146.473, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 145.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7361, kappa: 0.4695, kb_relative_information_score: 721.6968, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8861, scimark_benchmark: 1855.4812, usercpu_time_millis: 132.637, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 131.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.752, kappa: 0.4996, kb_relative_information_score: 1092.8008, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8387, scimark_benchmark: 1850.9652, usercpu_time_millis: 151.5, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 150.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7817, kappa: 0.5595, kb_relative_information_score: 1326.6791, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1843.7454, usercpu_time_millis: 156.62, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 155.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7543, kappa: 0.5044, kb_relative_information_score: 1194.3541, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8306, scimark_benchmark: 1843.456, usercpu_time_millis: 159.674, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 158.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 985.3297, mean_absolute_error: 0.3852, 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: 0.776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8662, scimark_benchmark: 1849.9303, usercpu_time_millis: 180.505, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 179.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7363, kappa: 0.4697, kb_relative_information_score: 708.0634, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8873, scimark_benchmark: 1838.7292, usercpu_time_millis: 159.52, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 157.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7369, kappa: 0.4707, kb_relative_information_score: 799.5361, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8764, scimark_benchmark: 1847.2753, usercpu_time_millis: 195.115, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 193.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.773, kappa: 0.542, kb_relative_information_score: 1085.6143, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8247, scimark_benchmark: 1851.8785, usercpu_time_millis: 189.786, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 187.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 860.6488, mean_absolute_error: 0.4017, 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: 0.8092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1852.4008, usercpu_time_millis: 172.321, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 171.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 965.5762, mean_absolute_error: 0.388, 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: 0.7816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8786, scimark_benchmark: 1853.3841, usercpu_time_millis: 196.432, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 195.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7515, kappa: 0.4986, kb_relative_information_score: 1010.6467, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8462, scimark_benchmark: 1846.2128, usercpu_time_millis: 190.689, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 189.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 814.4044, mean_absolute_error: 0.4075, 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: 0.8209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8806, scimark_benchmark: 1852.0126, usercpu_time_millis: 191.36, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 189.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 882.6045, mean_absolute_error: 0.3989, 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: 0.8036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1849.9303, usercpu_time_millis: 233.512, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 231.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 729.6016, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8866, scimark_benchmark: 1849.8662, usercpu_time_millis: 242.912, usercpu_time_millis_testing: 1.633, usercpu_time_millis_training: 241.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 878.9857, mean_absolute_error: 0.3993, 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: 0.8044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1847.7988, usercpu_time_millis: 242.919, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 241.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7383, kappa: 0.4731, kb_relative_information_score: 869.5041, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8639, scimark_benchmark: 1855.0776, usercpu_time_millis: 292.606, usercpu_time_millis_testing: 1.917, usercpu_time_millis_training: 290.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 883.1025, mean_absolute_error: 0.3989, 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: 0.8035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1837.8654, usercpu_time_millis: 238.131, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 236.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 952.217, mean_absolute_error: 0.3898, 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: 0.7852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8786, scimark_benchmark: 1847.8629, usercpu_time_millis: 296.86, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 295.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 957.5813, mean_absolute_error: 0.3891, 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: 0.7837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1837.0722, usercpu_time_millis: 292.346, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 290.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7372, kappa: 0.4716, kb_relative_information_score: 1049.8555, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8525, scimark_benchmark: 1857.6392, usercpu_time_millis: 279.118, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 277.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 957.7522, mean_absolute_error: 0.3891, 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: 0.7837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1847.3406, usercpu_time_millis: 279.033, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 277.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1041.28, mean_absolute_error: 0.3779, 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: 0.7612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8546, scimark_benchmark: 1847.3406, usercpu_time_millis: 343.876, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 342.584,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7375, kappa: 0.4709, kb_relative_information_score: 665.8082, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8924, scimark_benchmark: 1840.3235, usercpu_time_millis: 6.072, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 5.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0681, 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: 1849.7595, usercpu_time_millis: 8.579, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 7.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7752, kappa: 0.5468, kb_relative_information_score: 1392.0136, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1836.7129, usercpu_time_millis: 38.996, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 38.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7179, kappa: 0.4336, kb_relative_information_score: 1367.7728, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7196, predictive_accuracy: 0.7174, prior_entropy: 0.9948, recall: 0.7174, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8924, scimark_benchmark: 1859.1356, usercpu_time_millis: 9.803, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 9.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0852, 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: 1829.6751, usercpu_time_millis: 9.168, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 7.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7367, kappa: 0.471, kb_relative_information_score: 980.2904, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.403, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 15.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7147, kappa: 0.4243, kb_relative_information_score: 462.5273, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7159, predictive_accuracy: 0.7163, prior_entropy: 0.9948, recall: 0.7163, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9196, scimark_benchmark: 1849.3014, usercpu_time_millis: 42.538, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 40.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.3503, mean_absolute_error: 0.394, 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: 0.7937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1837.2211, usercpu_time_millis: 18.282, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 17.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.2167, 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: 1838.1183, usercpu_time_millis: 7.166, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 6.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7381, kappa: 0.4724, kb_relative_information_score: 651.2628, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8909, scimark_benchmark: 1846.3057, usercpu_time_millis: 46.91, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 45.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7115, kappa: 0.4187, kb_relative_information_score: 374.617, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7169, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9338, scimark_benchmark: 1840.1179, usercpu_time_millis: 39.023, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 37.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.777, kappa: 0.5503, kb_relative_information_score: 1061.9254, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.823, scimark_benchmark: 1843.2914, usercpu_time_millis: 50.166, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 48.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7898, kappa: 0.576, kb_relative_information_score: 1140.9556, mean_absolute_error: 0.3654, 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: 0.7361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8078, scimark_benchmark: 1848.916, usercpu_time_millis: 52.973, usercpu_time_millis_testing: 3.568, usercpu_time_millis_training: 49.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.788, kappa: 0.5724, kb_relative_information_score: 1347.9936, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7915, scimark_benchmark: 1842.8383, usercpu_time_millis: 57.056, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 55.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 885.276, mean_absolute_error: 0.3985, 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: 0.8028, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1855.4813, usercpu_time_millis: 22.434, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 21.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7361, kappa: 0.4694, kb_relative_information_score: 697.9404, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8873, scimark_benchmark: 1857.0384, usercpu_time_millis: 32.738, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 31.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7649, kappa: 0.5259, kb_relative_information_score: 944.726, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1853.0716, usercpu_time_millis: 33.801, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 32.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7186, kappa: 0.4323, kb_relative_information_score: 594.5496, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7189, predictive_accuracy: 0.7195, prior_entropy: 0.9948, recall: 0.7195, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8989, scimark_benchmark: 1818.9456, usercpu_time_millis: 29.785, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 28.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7406, kappa: 0.4772, kb_relative_information_score: 746.7047, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1839.7911, usercpu_time_millis: 76.946, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 75.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7877, kappa: 0.5718, kb_relative_information_score: 1241.059, mean_absolute_error: 0.3511, 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: 0.7073, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8024, scimark_benchmark: 1835.1458, usercpu_time_millis: 51.784, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 50.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7675, kappa: 0.5308, kb_relative_information_score: 1283.1324, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1855.5541, usercpu_time_millis: 42.474, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 41.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7466, kappa: 0.4886, kb_relative_information_score: 820.5001, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7472, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8642, scimark_benchmark: 1859.1356, usercpu_time_millis: 44.604, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 43.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 781.245, mean_absolute_error: 0.4117, 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: 0.8293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817, scimark_benchmark: 1833.1413, usercpu_time_millis: 48.987, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 48.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7976, kappa: 0.5919, kb_relative_information_score: 1264.2635, mean_absolute_error: 0.3486, 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: 0.7021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1834.2992, usercpu_time_millis: 71.926, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 70.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7406, kappa: 0.4766, kb_relative_information_score: 776.8864, mean_absolute_error: 0.4113, 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: 0.8285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.871, scimark_benchmark: 1837.7821, usercpu_time_millis: 77.531, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 75.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7326, kappa: 0.4613, kb_relative_information_score: 537.6849, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7326, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9091, scimark_benchmark: 1859.2084, usercpu_time_millis: 65.425, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 64.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7704, kappa: 0.537, kb_relative_information_score: 1239.362, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8174, scimark_benchmark: 1850.3603, usercpu_time_millis: 84.24, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 83.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7366, kappa: 0.4699, kb_relative_information_score: 812.1372, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8736, scimark_benchmark: 1747.4415, usercpu_time_millis: 97.994, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 97.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7498, kappa: 0.4951, kb_relative_information_score: 845.5234, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8628, scimark_benchmark: 1854.5582, usercpu_time_millis: 87.372, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 86.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7482, kappa: 0.4919, kb_relative_information_score: 807.5736, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7492, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1840.7617, usercpu_time_millis: 117.124, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 115.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7569, kappa: 0.5094, kb_relative_information_score: 1149.033, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, 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: 0.415, root_relative_squared_error: 0.833, scimark_benchmark: 1848.2539, usercpu_time_millis: 125.356, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 124.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7474, kappa: 0.4903, kb_relative_information_score: 748.9006, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7476, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8777, scimark_benchmark: 1843.1261, usercpu_time_millis: 92.934, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 91.502,

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