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: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0086, 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: 1844.3569, usercpu_time_millis: 9.928, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 8.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.2731, 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: 1840.3077, usercpu_time_millis: 5.359, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 4.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.3024, 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: 1841.6688, usercpu_time_millis: 5.227, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 4.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.755, kappa: 0.5055, kb_relative_information_score: 1129.0469, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8375, scimark_benchmark: 1728.1963, usercpu_time_millis: 859.104, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 857.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7831, kappa: 0.5625, kb_relative_information_score: 1478.8346, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1853.9849, usercpu_time_millis: 723.154, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 722.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7868, kappa: 0.5699, kb_relative_information_score: 1268.4432, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, scimark_benchmark: 1846.6923, usercpu_time_millis: 95.472, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 93.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1679.7407, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1843.7454, usercpu_time_millis: 4087.125, usercpu_time_millis_testing: 3.884, usercpu_time_millis_training: 4083.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8039, kappa: 0.6044, kb_relative_information_score: 1605.0057, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1835.6067, usercpu_time_millis: 3649.639, usercpu_time_millis_testing: 3.899, usercpu_time_millis_training: 3645.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7786, kappa: 0.5533, kb_relative_information_score: 1284.6398, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8078, scimark_benchmark: 1840.1715, usercpu_time_millis: 697.81, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 696.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1447.2145, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7767, scimark_benchmark: 1853.454, usercpu_time_millis: 644.145, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 642.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 859.6051, mean_absolute_error: 0.4019, 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: 0.8097, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1729.6688, usercpu_time_millis: 82.107, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 80.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 815.9131, mean_absolute_error: 0.4074, 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: 0.8206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1729.2681, usercpu_time_millis: 53.374, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 52.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1469.5054, mean_absolute_error: 0.3185, 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: 0.6415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884, scimark_benchmark: 1842.6679, usercpu_time_millis: 5888.717, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 5885.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.798, kappa: 0.5926, kb_relative_information_score: 1606.9494, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1849.3742, usercpu_time_millis: 4284.862, usercpu_time_millis_testing: 3.353, usercpu_time_millis_training: 4281.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7725, kappa: 0.5408, kb_relative_information_score: 1397.0542, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1716.0929, usercpu_time_millis: 3924.556, usercpu_time_millis_testing: 2.507, usercpu_time_millis_training: 3922.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8024, kappa: 0.6016, kb_relative_information_score: 1757.7677, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1845.6391, usercpu_time_millis: 3786.574, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 3784.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8031, kappa: 0.6027, kb_relative_information_score: 1534.4892, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7632, scimark_benchmark: 1792.0193, usercpu_time_millis: 1909.679, usercpu_time_millis_testing: 3.964, usercpu_time_millis_training: 1905.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1560.3504, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1838.6751, usercpu_time_millis: 1287.593, usercpu_time_millis_testing: 4.392, usercpu_time_millis_training: 1283.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7814, kappa: 0.559, kb_relative_information_score: 1396.744, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7959, scimark_benchmark: 1849.3014, usercpu_time_millis: 1202.59, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 1200.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1663.2836, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1753.4384, usercpu_time_millis: 1073.287, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 1072.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8036, kappa: 0.6039, kb_relative_information_score: 1547.0083, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1850.2875, usercpu_time_millis: 634.318, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 632.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7851, kappa: 0.5666, kb_relative_information_score: 1369.7113, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1839.2774, usercpu_time_millis: 555.011, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 552.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8015, kappa: 0.5995, kb_relative_information_score: 1574.9145, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7628, scimark_benchmark: 1836.6789, usercpu_time_millis: 3380.917, usercpu_time_millis_testing: 4.572, usercpu_time_millis_training: 3376.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7941, kappa: 0.5846, kb_relative_information_score: 1510.6635, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7758, scimark_benchmark: 1841.6148, usercpu_time_millis: 2567.677, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 2565.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7551, kappa: 0.5058, kb_relative_information_score: 1137.8962, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8328, scimark_benchmark: 1845.7061, usercpu_time_millis: 486.535, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 484.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7682, kappa: 0.5323, kb_relative_information_score: 1250.1725, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8187, scimark_benchmark: 1843.6841, usercpu_time_millis: 149.557, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 148.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7509, kappa: 0.4975, kb_relative_information_score: 1286.1898, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1113.8137, usercpu_time_millis: 64.481, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 63.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1463, 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: 1838.6903, usercpu_time_millis: 9.362, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 8.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7644, kappa: 0.5246, kb_relative_information_score: 1218.8932, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7665, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8213, scimark_benchmark: 1742.6102, usercpu_time_millis: 1329.671, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 1327.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8098, kappa: 0.6165, kb_relative_information_score: 1597.3022, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7548, scimark_benchmark: 1797.4762, usercpu_time_millis: 512.766, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 511.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7934, kappa: 0.5832, kb_relative_information_score: 1519.2298, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7779, scimark_benchmark: 1805.7197, usercpu_time_millis: 6917.511, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 6913.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0098, 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: 1815.9966, usercpu_time_millis: 5.475, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 4.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8054, kappa: 0.6075, kb_relative_information_score: 1642.9096, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1724.314, usercpu_time_millis: 17184.328, usercpu_time_millis_testing: 9.261, usercpu_time_millis_training: 17175.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 1415.2902, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7744, scimark_benchmark: 1834.0484, usercpu_time_millis: 529.471, usercpu_time_millis_testing: 3.811, usercpu_time_millis_training: 525.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7193, kappa: 0.4336, kb_relative_information_score: 603.805, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7214, predictive_accuracy: 0.7214, prior_entropy: 0.9948, recall: 0.7214, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8941, scimark_benchmark: 1825.7071, usercpu_time_millis: 20.454, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 18.373,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8075, kappa: 0.6119, kb_relative_information_score: 1734.6225, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7477, scimark_benchmark: 1844.7605, usercpu_time_millis: 2799.467, usercpu_time_millis_testing: 3.433, usercpu_time_millis_training: 2796.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0577, 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: 1845.181, usercpu_time_millis: 5.292, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 4.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.804, kappa: 0.6047, kb_relative_information_score: 1547.0585, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1838.1026, usercpu_time_millis: 1544.219, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 1542.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1501.4419, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7707, scimark_benchmark: 1849.9572, usercpu_time_millis: 1223.996, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 1221.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7551, kappa: 0.506, kb_relative_information_score: 1310.2824, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8167, scimark_benchmark: 1847.8629, usercpu_time_millis: 1175.317, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 1174.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7849, kappa: 0.566, kb_relative_information_score: 1475.1644, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7852, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7867, scimark_benchmark: 1849.7595, usercpu_time_millis: 1153.659, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 1152.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8105, kappa: 0.6178, kb_relative_information_score: 1532.7522, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8109, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7592, scimark_benchmark: 1848.388, usercpu_time_millis: 1145.243, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 1140.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 966.3751, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1851.3986, usercpu_time_millis: 424.163, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 422.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1530.9242, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7784, scimark_benchmark: 1849.3014, usercpu_time_millis: 426.174, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 425.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 1422.5121, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7736, scimark_benchmark: 1844.7928, usercpu_time_millis: 886.077, usercpu_time_millis_testing: 3.857, usercpu_time_millis_training: 882.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1602.8819, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7622, scimark_benchmark: 1849.7595, usercpu_time_millis: 161.183, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 160.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7696, kappa: 0.5351, kb_relative_information_score: 1206.806, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7708, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.815, scimark_benchmark: 1848.388, usercpu_time_millis: 52.786, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 52.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7698, kappa: 0.5355, kb_relative_information_score: 1111.4979, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1850.2875, usercpu_time_millis: 29.37, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 28.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1172, 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: 1704.5236, usercpu_time_millis: 8.104, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 7.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0797, 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: 5.398, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 4.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1608.8174, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1729.6688, usercpu_time_millis: 6437.412, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 6434.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1505.2186, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7718, scimark_benchmark: 1836.3781, usercpu_time_millis: 3340.078, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 3335.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1611.7563, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1852.0126, usercpu_time_millis: 2665.099, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 2662.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8064, kappa: 0.6095, kb_relative_information_score: 1551.9356, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7608, scimark_benchmark: 1746.0999, usercpu_time_millis: 1821.684, usercpu_time_millis_testing: 4.944, usercpu_time_millis_training: 1816.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7718, kappa: 0.5394, kb_relative_information_score: 1459.4763, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.773, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7964, scimark_benchmark: 1850.2875, usercpu_time_millis: 1680.168, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 1678.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7737, kappa: 0.5433, kb_relative_information_score: 1326.1671, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8108, scimark_benchmark: 1827.6449, usercpu_time_millis: 1587.591, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 1585.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1568.7621, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1726.1218, usercpu_time_millis: 1440.962, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 1439.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7856, kappa: 0.5674, kb_relative_information_score: 1528.3565, mean_absolute_error: 0.3102, 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: 0.6248, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1825.3277, usercpu_time_millis: 6448.971, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 6446.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8111, kappa: 0.619, kb_relative_information_score: 1604.9038, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1849.447, usercpu_time_millis: 1149.079, usercpu_time_millis_testing: 3.979, usercpu_time_millis_training: 1145.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 1116.4666, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8166, scimark_benchmark: 1841.6688, usercpu_time_millis: 236.419, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 233.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7483, kappa: 0.4925, kb_relative_information_score: 1249.9784, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8371, scimark_benchmark: 1727.5757, usercpu_time_millis: 52.339, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 51.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0538, 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: 1850.2875, usercpu_time_millis: 7.176, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 6.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1562.6245, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1752.214, usercpu_time_millis: 9171.198, usercpu_time_millis_testing: 6.272, usercpu_time_millis_training: 9164.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1284.3604, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125, scimark_benchmark: 1721.2349, usercpu_time_millis: 3967.804, usercpu_time_millis_testing: 3.585, usercpu_time_millis_training: 3964.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8022, kappa: 0.601, kb_relative_information_score: 1650.036, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598, scimark_benchmark: 1743.1611, usercpu_time_millis: 3629.119, usercpu_time_millis_testing: 2.366, usercpu_time_millis_training: 3626.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7902, kappa: 0.5767, kb_relative_information_score: 1513.8271, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1738.3274, usercpu_time_millis: 15752.355, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 15747.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8036, kappa: 0.6038, kb_relative_information_score: 1607.5623, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1785.0191, usercpu_time_millis: 2382.952, usercpu_time_millis_testing: 2.203, usercpu_time_millis_training: 2380.749,

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