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: 0.8784, f_measure: 0.806, kappa: 0.6091, kb_relative_information_score: 1511.1463, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1854.4951, usercpu_time_millis: 41.635, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 40.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 973.6251, 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: 0.7794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1853.454, usercpu_time_millis: 44.408, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 43.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 922.9148, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8531, scimark_benchmark: 1830.7616, usercpu_time_millis: 75.986, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 75.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 956.4538, mean_absolute_error: 0.3892, 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: 0.7841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1821.7292, usercpu_time_millis: 60.116, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 59.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 867.8418, mean_absolute_error: 0.4008, 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: 0.8074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8714, scimark_benchmark: 1778.1071, usercpu_time_millis: 61.674, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 60.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7749, kappa: 0.5458, kb_relative_information_score: 1341.2715, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1859.1356, usercpu_time_millis: 56.814, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 56.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7844, kappa: 0.5651, kb_relative_information_score: 1391.8609, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914, scimark_benchmark: 1839.0605, usercpu_time_millis: 69.004, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 68.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7364, kappa: 0.47, kb_relative_information_score: 708.7855, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8866, scimark_benchmark: 1838.2372, usercpu_time_millis: 109.272, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 107.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 814.3856, mean_absolute_error: 0.4076, 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: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1841.1577, usercpu_time_millis: 81.07, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 80.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7506, kappa: 0.4968, kb_relative_information_score: 1021.8957, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7508, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8465, scimark_benchmark: 1848.6795, usercpu_time_millis: 80.984, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 80.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7883, kappa: 0.5731, kb_relative_information_score: 1439.8447, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7883, scimark_benchmark: 1854.4951, usercpu_time_millis: 85.107, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 84.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7566, kappa: 0.5089, kb_relative_information_score: 1174.4529, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1846.4335, usercpu_time_millis: 137.785, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 136.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.7014, mean_absolute_error: 0.3875, 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: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1836.3211, usercpu_time_millis: 100.028, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 99.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1588.5087, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1730.7262, usercpu_time_millis: 129.97, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 129.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7498, kappa: 0.4952, kb_relative_information_score: 876.451, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1841.2811, usercpu_time_millis: 106.034, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 104.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1102.7419, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.835, scimark_benchmark: 1828.1532, usercpu_time_millis: 135.463, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 134.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7374, kappa: 0.4718, kb_relative_information_score: 689.3536, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1834.0484, usercpu_time_millis: 117.827, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 116.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.774, kappa: 0.5439, kb_relative_information_score: 1267.941, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8088, scimark_benchmark: 1848.047, usercpu_time_millis: 154.201, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 153.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7374, kappa: 0.4702, kb_relative_information_score: 712.064, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8814, scimark_benchmark: 1860.7926, usercpu_time_millis: 108.866, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 106.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 880.7446, mean_absolute_error: 0.3992, 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: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1853.9121, usercpu_time_millis: 136.426, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 135.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7833, kappa: 0.5628, kb_relative_information_score: 1283.9796, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.784, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8029, scimark_benchmark: 1836.0792, usercpu_time_millis: 71.532, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 70.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7369, kappa: 0.4709, kb_relative_information_score: 839.46, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8716, scimark_benchmark: 1834.1659, usercpu_time_millis: 140.496, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 139.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.777, kappa: 0.5501, kb_relative_information_score: 1193.3528, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1858.2223, usercpu_time_millis: 81.886, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 80.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7509, kappa: 0.4974, kb_relative_information_score: 1039.0605, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8414, scimark_benchmark: 1802.6127, usercpu_time_millis: 122.945, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 121.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 841.1052, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1823.733, usercpu_time_millis: 144.195, usercpu_time_millis_testing: 1.592, usercpu_time_millis_training: 142.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7464, kappa: 0.4883, kb_relative_information_score: 746.6335, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1805.0413, usercpu_time_millis: 132.327, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 130.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7519, kappa: 0.4997, kb_relative_information_score: 982.9595, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485, scimark_benchmark: 1857.5664, usercpu_time_millis: 140.172, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 138.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7541, kappa: 0.5038, kb_relative_information_score: 1116.3378, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8411, scimark_benchmark: 1728.7561, usercpu_time_millis: 191.664, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 190.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7716, kappa: 0.5391, kb_relative_information_score: 1269.6264, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7726, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8126, scimark_benchmark: 1857.5664, usercpu_time_millis: 128.559, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 127.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 975.7957, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8421, scimark_benchmark: 1850.2487, usercpu_time_millis: 210.705, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 208.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7369, kappa: 0.4707, kb_relative_information_score: 853.5677, mean_absolute_error: 0.4026, 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: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8684, scimark_benchmark: 1846.4972, usercpu_time_millis: 246.872, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 245.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 931.3053, mean_absolute_error: 0.3926, 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: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 1833.6629, usercpu_time_millis: 232.799, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 231.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 984.124, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.844, scimark_benchmark: 1849.408, usercpu_time_millis: 244.648, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 242.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7382, kappa: 0.4724, kb_relative_information_score: 689.677, mean_absolute_error: 0.4226, 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: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8866, scimark_benchmark: 1857.1082, usercpu_time_millis: 176.081, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 174.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7584, kappa: 0.5127, kb_relative_information_score: 1160.0741, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8291, scimark_benchmark: 1836.0792, usercpu_time_millis: 237.386, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 236.351,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0377, 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: 1733.7531, usercpu_time_millis: 5.615, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1453, 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: 1852.4707, usercpu_time_millis: 6.313, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 5.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.6918, kappa: 0.3787, kb_relative_information_score: 370.3538, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6955, prior_entropy: 0.9948, recall: 0.6955, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9349, scimark_benchmark: 1847.9815, usercpu_time_millis: 12.982, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 11.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 870.2322, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8693, scimark_benchmark: 1843.9828, usercpu_time_millis: 50.32, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 49.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1881, 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: 1851.9456, usercpu_time_millis: 8.315, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 7.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0484, 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: 1848.8886, usercpu_time_millis: 4.798, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 4.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7711, kappa: 0.5381, kb_relative_information_score: 1302.2903, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1851.8968, usercpu_time_millis: 37.498, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 36.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0352, 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: 1857.1082, usercpu_time_millis: 11.441, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 9.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.7915, 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: 1849.3014, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 3.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0995, 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: 1857.0384, usercpu_time_millis: 5.63, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 4.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.2705, 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: 1835.2001, usercpu_time_millis: 5.778, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 726.489, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8849, scimark_benchmark: 1845.9141, usercpu_time_millis: 25.591, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 24.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7527, kappa: 0.5009, kb_relative_information_score: 1137.0167, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1845.7835, usercpu_time_millis: 64.129, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 63.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7818, kappa: 0.5603, kb_relative_information_score: 1438.2649, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7818, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1845.3418, usercpu_time_millis: 15.039, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 14.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7497, kappa: 0.495, kb_relative_information_score: 785.9761, mean_absolute_error: 0.4108, 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: 0.8275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8714, scimark_benchmark: 1855.0776, usercpu_time_millis: 56.946, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 55.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0626, 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: 1847.7335, usercpu_time_millis: 6.48, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 5.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0785, 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: 1853.454, usercpu_time_millis: 5.806, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 4.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -1.3894, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.3057, usercpu_time_millis: 4.528, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 3.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0675, 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: 1827.7633, usercpu_time_millis: 7.277, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 1130.8762, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8321, scimark_benchmark: 1845.264, usercpu_time_millis: 22.027, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 21.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7497, kappa: 0.4952, kb_relative_information_score: 1268.0854, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8272, scimark_benchmark: 1849.5386, usercpu_time_millis: 56.993, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 56.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 845.0371, mean_absolute_error: 0.4037, 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: 0.8132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1817.8416, usercpu_time_millis: 14.367, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 13.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1060.0886, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8307, scimark_benchmark: 1840.1791, usercpu_time_millis: 43.54, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 42.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7517, kappa: 0.4989, kb_relative_information_score: 943.1071, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8515, scimark_benchmark: 1843.3605, usercpu_time_millis: 51.761, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 50.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7524, kappa: 0.5004, kb_relative_information_score: 879.1953, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8569, scimark_benchmark: 1840.7014, usercpu_time_millis: 48.08, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 46.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 894.1937, mean_absolute_error: 0.3974, 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: 0.8006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8702, scimark_benchmark: 1848.321, usercpu_time_millis: 38.633, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 37.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 894.4494, mean_absolute_error: 0.3974, 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: 0.8005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8709, scimark_benchmark: 1847.7988, usercpu_time_millis: 60.339, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 59.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7408, kappa: 0.4779, kb_relative_information_score: 799.839, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7408, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1838.3592, usercpu_time_millis: 80.36, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 78.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7708, kappa: 0.5377, kb_relative_information_score: 1059.8861, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8263, scimark_benchmark: 1853.9121, usercpu_time_millis: 38.732, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 36.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7924, kappa: 0.5814, kb_relative_information_score: 1164.2986, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1842.2565, usercpu_time_millis: 46.941, usercpu_time_millis_testing: 3.054, usercpu_time_millis_training: 43.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 965.8742, 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: 0.7815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8788, scimark_benchmark: 1829.6946, usercpu_time_millis: 103.384, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 102.478,

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