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: 0.815, f_measure: 0.7486, kappa: 0.4928, kb_relative_information_score: 823.536, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7499, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8642, scimark_benchmark: 1728.8162, usercpu_time_millis: 56.063, usercpu_time_millis_testing: 1.542, usercpu_time_millis_training: 54.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7374, kappa: 0.4706, kb_relative_information_score: 576.6258, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9026, scimark_benchmark: 1838.1263, usercpu_time_millis: 26.773, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 25.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1022, 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: 1734.2699, usercpu_time_millis: 7.546, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 6.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0566, 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: 1839.272, usercpu_time_millis: 9.675, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 8.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0268, 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: 1849.9572, usercpu_time_millis: 7.504, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 6.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.2522, 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: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1852.4707, usercpu_time_millis: 252.872, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 251.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7553, kappa: 0.5063, kb_relative_information_score: 928.9259, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.853, scimark_benchmark: 1820.9024, usercpu_time_millis: 184.673, usercpu_time_millis_testing: 2.413, usercpu_time_millis_training: 182.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 917.2524, mean_absolute_error: 0.3944, 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: 0.7945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776, scimark_benchmark: 1725.4578, usercpu_time_millis: 121.462, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 120.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7519, kappa: 0.4993, kb_relative_information_score: 934.2986, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8485, scimark_benchmark: 1708.2099, usercpu_time_millis: 99.69, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 98.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7424, kappa: 0.4801, kb_relative_information_score: 766.9894, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7438, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1725.8551, usercpu_time_millis: 79.961, usercpu_time_millis_testing: 1.578, usercpu_time_millis_training: 78.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 826.2966, mean_absolute_error: 0.4061, 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: 0.8179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8802, scimark_benchmark: 1841.6688, usercpu_time_millis: 65.899, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 65.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.726, kappa: 0.4476, kb_relative_information_score: 560.3963, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.726, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9044, scimark_benchmark: 1852.9259, usercpu_time_millis: 68.41, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 66.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7776, kappa: 0.5515, kb_relative_information_score: 1324.4394, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1842.8383, usercpu_time_millis: 51.593, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 50.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7517, kappa: 0.499, kb_relative_information_score: 933.4987, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8482, scimark_benchmark: 1825.2596, usercpu_time_millis: 50.603, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 49.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.722, kappa: 0.4392, kb_relative_information_score: 620.4087, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7224, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8948, scimark_benchmark: 1819.5458, usercpu_time_millis: 26.25, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 25.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.092, 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: 1833.6579, usercpu_time_millis: 8.021, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 6.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1393, 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: 1829.8, usercpu_time_millis: 9.608, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 8.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.2138, 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: 1823.3595, usercpu_time_millis: 5.918, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 5.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 889.1756, mean_absolute_error: 0.3981, 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: 0.8019, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1857.0384, usercpu_time_millis: 156.007, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 154.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7348, kappa: 0.4651, kb_relative_information_score: 642.5618, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7348, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8923, scimark_benchmark: 1718.2275, usercpu_time_millis: 99.462, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 97.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 768.6093, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8841, scimark_benchmark: 1847.8629, usercpu_time_millis: 75.084, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 74.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7354, kappa: 0.4675, kb_relative_information_score: 582.5937, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9028, scimark_benchmark: 1817.8826, usercpu_time_millis: 53.2, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 52.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 758.8211, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8759, scimark_benchmark: 1859.1356, usercpu_time_millis: 34.99, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 34.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7697, kappa: 0.5354, kb_relative_information_score: 1224.6761, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.817, scimark_benchmark: 1851.3688, usercpu_time_millis: 15.932, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 15.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8051, kappa: 0.607, kb_relative_information_score: 1536.1785, mean_absolute_error: 0.3105, 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: 0.6254, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1729.7834, usercpu_time_millis: 13.79, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 12.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1244, 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: 1852.0126, usercpu_time_millis: 7.226, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 6.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0295, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 8.706, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 7.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 919.9545, mean_absolute_error: 0.3941, 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: 0.7939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8737, scimark_benchmark: 1704.3727, usercpu_time_millis: 238.684, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 236.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.76, kappa: 0.5157, kb_relative_information_score: 1035.3617, mean_absolute_error: 0.379, 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: 0.7635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374, scimark_benchmark: 1850.9652, usercpu_time_millis: 194.808, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 193.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.3635, mean_absolute_error: 0.3872, 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: 0.78, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1838.8181, usercpu_time_millis: 137.821, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 136.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7586, kappa: 0.513, kb_relative_information_score: 1074.288, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8355, scimark_benchmark: 1842.3843, usercpu_time_millis: 54.266, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 53.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7874, kappa: 0.5714, kb_relative_information_score: 1503.1906, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7873, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7861, scimark_benchmark: 1742.5561, usercpu_time_millis: 19.518, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 18.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0142, 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: 1844.8764, usercpu_time_millis: 8.364, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 7.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0801, 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: 1831.6625, usercpu_time_millis: 7.882, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 6.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0944, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1735.2343, usercpu_time_millis: 7.186, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 6.105,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.0386, 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: 1886.2966, usercpu_time_millis: 4.941, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 4.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 929.5165, mean_absolute_error: 0.3928, 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: 0.7912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1817.4453, usercpu_time_millis: 348.462, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 346.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.0148, mean_absolute_error: 0.3869, 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: 0.7793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1853.9121, usercpu_time_millis: 231.219, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 230.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7678, kappa: 0.5315, kb_relative_information_score: 1075.2797, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7684, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1849.3742, usercpu_time_millis: 223.435, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 221.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7642, kappa: 0.5242, kb_relative_information_score: 1103.3621, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1781.4466, usercpu_time_millis: 38.921, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 38.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1185, 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: 1789.8414, usercpu_time_millis: 8.302, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 7.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1202, 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: 1822.3834, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0953, 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: 1791.5154, usercpu_time_millis: 8.855, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 7.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -5.2002, mean_absolute_error: 0.4969, 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: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002, scimark_benchmark: 1799.2518, usercpu_time_millis: 4.202, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1692, 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: 1849.0221, usercpu_time_millis: 5.196, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 4.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 904.6115, mean_absolute_error: 0.3961, 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: 0.7979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723, scimark_benchmark: 1773.6101, usercpu_time_millis: 329.425, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 327.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 954.9611, mean_absolute_error: 0.3894, 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: 0.7844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1754.8402, usercpu_time_millis: 327.164, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 325.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7496, kappa: 0.4951, kb_relative_information_score: 1168.3824, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8453, scimark_benchmark: 1748.9686, usercpu_time_millis: 161.988, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 161.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7537, kappa: 0.5031, kb_relative_information_score: 947.3151, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.846, scimark_benchmark: 1853.454, usercpu_time_millis: 124.748, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 122.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.756, kappa: 0.5077, kb_relative_information_score: 1035.4592, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8397, scimark_benchmark: 1806.5935, usercpu_time_millis: 83.773, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 82.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.772, kappa: 0.5401, kb_relative_information_score: 1005.8609, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8292, scimark_benchmark: 1807.4586, usercpu_time_millis: 39.882, usercpu_time_millis_testing: 4.086, usercpu_time_millis_training: 35.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7539, kappa: 0.5035, kb_relative_information_score: 938.2301, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8508, scimark_benchmark: 1754.9623, usercpu_time_millis: 27.464, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 26.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: -0.1537, 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: 1813.848, usercpu_time_millis: 8.509, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 7.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0835, 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: 1801.5825, usercpu_time_millis: 8.281, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 6.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.394, 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: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1781.7314, usercpu_time_millis: 4.445, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 3.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1921, 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: 1815.5992, usercpu_time_millis: 4.704, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 3.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.3475, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.8207, usercpu_time_millis: 4.249, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 754.3163, mean_absolute_error: 0.4149, 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: 0.8358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8845, scimark_benchmark: 1786.0886, usercpu_time_millis: 264.197, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 262.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7363, kappa: 0.4697, kb_relative_information_score: 890.6474, mean_absolute_error: 0.3978, 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: 0.8013, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8655, scimark_benchmark: 1777.3764, usercpu_time_millis: 82.269, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 81.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7456, kappa: 0.4867, kb_relative_information_score: 732.275, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8807, scimark_benchmark: 1849.3742, usercpu_time_millis: 85.67, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 84.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7423, kappa: 0.4804, kb_relative_information_score: 1187.4086, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.747, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8424, scimark_benchmark: 1775.9972, usercpu_time_millis: 59.645, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 58.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0747, 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: 1769.4307, usercpu_time_millis: 7.732, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 6.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0104, 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: 1855.4813, usercpu_time_millis: 4.563, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 3.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7856, kappa: 0.5675, kb_relative_information_score: 1414.0942, mean_absolute_error: 0.3264, 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: 0.6576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7924, scimark_benchmark: 1793.8285, usercpu_time_millis: 67.135, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 66.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7542, kappa: 0.5041, kb_relative_information_score: 1175.0154, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8413, scimark_benchmark: 1848.5009, usercpu_time_millis: 52.326, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 51.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 752.9628, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853, scimark_benchmark: 1854.4951, usercpu_time_millis: 17.055, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 16.408,

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