OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 6 people , 8 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7725, kappa: 0.5412, kb_relative_information_score: 1480.2861, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1846.3057, usercpu_time_millis: 1465.753, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 1464.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7671, kappa: 0.5301, kb_relative_information_score: 1471.5339, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8159, scimark_benchmark: 1831.6625, usercpu_time_millis: 534.669, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 533.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7876, kappa: 0.5715, kb_relative_information_score: 1319.5696, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.789, scimark_benchmark: 1772.4944, usercpu_time_millis: 1048.763, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 1046.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 854.5622, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7467, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1777.7073, usercpu_time_millis: 187.997, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 187.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 363.8291, mean_absolute_error: 0.4603, 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: 0.9272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9372, scimark_benchmark: 1803.4699, usercpu_time_millis: 1002.876, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 1002.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 610.925, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8957, scimark_benchmark: 1849.8902, usercpu_time_millis: 1033.072, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1032.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8064, kappa: 0.6095, kb_relative_information_score: 1792.0441, mean_absolute_error: 0.2735, 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: 0.5509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7475, scimark_benchmark: 1718.6781, usercpu_time_millis: 398.141, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 397.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7623, kappa: 0.5205, kb_relative_information_score: 1175.0356, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1851.827, usercpu_time_millis: 1681.618, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 1680.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.3813, kb_relative_information_score: 68.1121, mean_absolute_error: 0.4901, 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: 0.9872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9875, scimark_benchmark: 1764.1157, usercpu_time_millis: 1028.205, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1027.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7537, kappa: 0.5033, kb_relative_information_score: 1571.2671, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8435, scimark_benchmark: 1705.4708, usercpu_time_millis: 1195.822, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1195.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7589, kappa: 0.5134, kb_relative_information_score: 1243.8604, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1807.7022, usercpu_time_millis: 1307.827, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1307.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7351, kappa: 0.4654, kb_relative_information_score: 614.9254, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.895, scimark_benchmark: 1702.5639, usercpu_time_millis: 985.557, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 984.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 749.1822, mean_absolute_error: 0.4159, 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: 0.8377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8908, scimark_benchmark: 1804.9401, usercpu_time_millis: 1432.916, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1432.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7709, kappa: 0.5377, kb_relative_information_score: 1447.8374, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7713, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8151, scimark_benchmark: 1809.2869, usercpu_time_millis: 512.495, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 512.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 905.8788, mean_absolute_error: 0.3949, 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: 0.7955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.853, scimark_benchmark: 1838.2986, usercpu_time_millis: 736.708, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 736.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.745, kappa: 0.486, kb_relative_information_score: 1636.9787, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9154, scimark_benchmark: 1806.0357, usercpu_time_millis: 1370.121, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1369.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7397, kappa: 0.4762, kb_relative_information_score: 709.8668, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8878, scimark_benchmark: 1905.4831, usercpu_time_millis: 265.605, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 265.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7357, kappa: 0.4667, kb_relative_information_score: 630.2055, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8927, scimark_benchmark: 1769.6842, usercpu_time_millis: 1299.035, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1298.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1285.8235, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.816, scimark_benchmark: 1808.2818, usercpu_time_millis: 1259.478, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1259.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7728, kappa: 0.5418, kb_relative_information_score: 1387.7333, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7728, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1805.0145, usercpu_time_millis: 565.449, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 564.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7565, kappa: 0.5089, kb_relative_information_score: 1561.3829, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8412, scimark_benchmark: 1934.7393, usercpu_time_millis: 398.766, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 397.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7663, kappa: 0.5284, kb_relative_information_score: 1467.2552, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8139, scimark_benchmark: 1718.2275, usercpu_time_millis: 983.734, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 983.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 476.9652, mean_absolute_error: 0.448, 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: 0.9024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9207, scimark_benchmark: 1833.6579, usercpu_time_millis: 926.681, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 926.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7619, kappa: 0.5198, kb_relative_information_score: 1599.984, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8349, scimark_benchmark: 1804.7247, usercpu_time_millis: 358.889, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 358.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 449.7387, mean_absolute_error: 0.4511, 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: 0.9087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9232, scimark_benchmark: 1842.8383, usercpu_time_millis: 582.603, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 582.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1702.6269, usercpu_time_millis: 82.979, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 82.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7857, kappa: 0.5679, kb_relative_information_score: 1981.8754, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1676.4257, usercpu_time_millis: 756.375, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 755.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7578, kappa: 0.5113, kb_relative_information_score: 434.675, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9204, scimark_benchmark: 1732.3049, usercpu_time_millis: 130.981, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 130.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7688, kappa: 0.5335, kb_relative_information_score: 1262.8473, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1841.6688, usercpu_time_millis: 1239.129, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1238.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7784, kappa: 0.553, kb_relative_information_score: 1335.3604, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7995, scimark_benchmark: 1839.2774, usercpu_time_millis: 540.388, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 539.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1737.3263, usercpu_time_millis: 188.428, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 187.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6825, kappa: 0.361, kb_relative_information_score: 399.9444, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6895, predictive_accuracy: 0.6878, prior_entropy: 0.9948, recall: 0.6878, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9302, scimark_benchmark: 1889.138, usercpu_time_millis: 64.473, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 64.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7454, kappa: 0.4865, kb_relative_information_score: 951.0997, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7455, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8498, scimark_benchmark: 1799.2116, usercpu_time_millis: 241.337, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 240.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1746.7558, usercpu_time_millis: 268.305, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 267.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7563, kappa: 0.5082, kb_relative_information_score: 967.7961, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.845, scimark_benchmark: 1806.0357, usercpu_time_millis: 1291.685, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1291.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7554, kappa: 0.5066, kb_relative_information_score: 1548.3304, mean_absolute_error: 0.3021, 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: 0.6085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8379, scimark_benchmark: 1837.586, usercpu_time_millis: 1386.01, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 1385.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7664, kappa: 0.5286, kb_relative_information_score: 1356.8641, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7671, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8157, scimark_benchmark: 1727.8881, usercpu_time_millis: 1092.948, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1092.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8085, kappa: 0.6138, kb_relative_information_score: 2052.7847, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1840.5977, usercpu_time_millis: 2527.471, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 2525.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7835, kappa: 0.5633, kb_relative_information_score: 1851.0979, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8058, scimark_benchmark: 1809.8855, usercpu_time_millis: 618.934, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 618.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1743.0157, usercpu_time_millis: 1494.844, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1494.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.3813, kb_relative_information_score: 1.5066, mean_absolute_error: 0.4963, 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: 0.9997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9997, scimark_benchmark: 1842.8155, usercpu_time_millis: 1468.752, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1468.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7779, kappa: 0.5523, kb_relative_information_score: 1789.9481, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1843.3265, usercpu_time_millis: 698.752, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 697.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8029, kappa: 0.6024, kb_relative_information_score: 1878.9588, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7514, scimark_benchmark: 1725.8581, usercpu_time_millis: 596.421, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 595.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.3813, kb_relative_information_score: 9.9984, mean_absolute_error: 0.4955, 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: 0.9981, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9981, scimark_benchmark: 1877.6447, usercpu_time_millis: 517.747, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 517.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1823.5529, usercpu_time_millis: 511.607, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 511.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1783.807, usercpu_time_millis: 473.326, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 472.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7624, kappa: 0.5206, kb_relative_information_score: 1184.6031, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1800.2094, usercpu_time_millis: 1288.574, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 1288.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1725.0747, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7522, scimark_benchmark: 1733.7613, usercpu_time_millis: 2571.549, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 2569.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0073, 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: 1770.6328, usercpu_time_millis: 385.348, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 384.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7917, kappa: 0.58, kb_relative_information_score: 1850.3056, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7817, scimark_benchmark: 1841.2811, usercpu_time_millis: 1336.463, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 1335.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 482.9091, mean_absolute_error: 0.4473, 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: 0.9011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9199, scimark_benchmark: 1819.4285, usercpu_time_millis: 1168.473, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1168.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7564, kappa: 0.5087, kb_relative_information_score: 1575.9859, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1882.5678, usercpu_time_millis: 863.461, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 862.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7692, kappa: 0.5345, kb_relative_information_score: 1628.7322, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7693, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1719.131, usercpu_time_millis: 507.562, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 507.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.746, kappa: 0.4881, kb_relative_information_score: 1625.5515, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7459, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.89, scimark_benchmark: 1841.6688, usercpu_time_millis: 1096.665, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1096.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7619, kappa: 0.5198, kb_relative_information_score: 1540.6748, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1848.4563, usercpu_time_millis: 1952.03, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1951.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7588, kappa: 0.5134, kb_relative_information_score: 1554.7686, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8338, scimark_benchmark: 1812.3652, usercpu_time_millis: 457.267, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 456.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7669, kappa: 0.5297, kb_relative_information_score: 1385.7746, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1840.2451, usercpu_time_millis: 328.374, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 327.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1808.9593, usercpu_time_millis: 266.234, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 265.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.747, kappa: 0.4898, kb_relative_information_score: 1027.8165, mean_absolute_error: 0.3792, 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: 0.7639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8524, scimark_benchmark: 1780.7465, usercpu_time_millis: 1124.176, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1123.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7479, kappa: 0.4913, kb_relative_information_score: 931.9418, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.749, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1877.4251, usercpu_time_millis: 817.811, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 817.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7694, kappa: 0.5348, kb_relative_information_score: 1556.7634, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7696, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1770.686, usercpu_time_millis: 253.271, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 252.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1901.4171, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7401, scimark_benchmark: 1812.8587, usercpu_time_millis: 1245.101, usercpu_time_millis_testing: 2.144, usercpu_time_millis_training: 1242.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.737, kappa: 0.4707, kb_relative_information_score: 885.2648, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8678, scimark_benchmark: 1849.3468, usercpu_time_millis: 1088.453, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 1087.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7534, kappa: 0.5025, kb_relative_information_score: 709.8795, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733, scimark_benchmark: 2012.1335, usercpu_time_millis: 338.435, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 336.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.767, kappa: 0.5298, kb_relative_information_score: 1392.9354, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8122, scimark_benchmark: 1721.7423, usercpu_time_millis: 923.887, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 923.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7422, kappa: 0.4812, kb_relative_information_score: 972.7689, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7426, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8643, scimark_benchmark: 1886.3807, usercpu_time_millis: 1301.367, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1301.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.4373, kappa: 0.0452, kb_relative_information_score: 80.0773, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6236, predictive_accuracy: 0.5596, prior_entropy: 0.9948, recall: 0.5596, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9856, scimark_benchmark: 1717.382, usercpu_time_millis: 252.437, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 251.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7451, kappa: 0.4866, kb_relative_information_score: 680.345, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7451, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8863, scimark_benchmark: 1724.6106, usercpu_time_millis: 756.51, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 755.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.6958, kappa: 0.3874, kb_relative_information_score: 1449.8927, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6959, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0901, scimark_benchmark: 1891.5042, usercpu_time_millis: 632.954, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 632.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7533, kappa: 0.5023, kb_relative_information_score: 967.8556, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8466, scimark_benchmark: 1839.6597, usercpu_time_millis: 1671.663, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1671.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1238.7417, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1730.9952, usercpu_time_millis: 443.72, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 442.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.733, kappa: 0.4614, kb_relative_information_score: 621.0233, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7353, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8941, scimark_benchmark: 1832.1735, usercpu_time_millis: 867.861, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 867.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0073, 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: 1797.8123, usercpu_time_millis: 754.019, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 753.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 794.4585, mean_absolute_error: 0.4103, 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: 0.8266, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8863, scimark_benchmark: 1718.6432, usercpu_time_millis: 987.241, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 986.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7822, kappa: 0.5609, kb_relative_information_score: 1780.2623, mean_absolute_error: 0.2701, 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: 0.5442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7911, scimark_benchmark: 1824.5931, usercpu_time_millis: 162.419, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 161.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.765, kappa: 0.5259, kb_relative_information_score: 1485.9429, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8168, scimark_benchmark: 1832.6275, usercpu_time_millis: 713.02, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 712.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7526, kappa: 0.5013, kb_relative_information_score: 1627.0964, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8832, scimark_benchmark: 1737.4734, usercpu_time_millis: 1404.031, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1403.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7479, kappa: 0.4915, kb_relative_information_score: 1066.7595, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8479, scimark_benchmark: 1840.7617, usercpu_time_millis: 1346.294, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1345.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7537, kappa: 0.5034, kb_relative_information_score: 1622.9802, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776, scimark_benchmark: 2056.7389, usercpu_time_millis: 485.249, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 484.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7941, kappa: 0.5849, kb_relative_information_score: 2065.8486, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8102, scimark_benchmark: 1683.5324, usercpu_time_millis: 275.544, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 274.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7669, kappa: 0.5297, kb_relative_information_score: 1549.5907, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8136, scimark_benchmark: 1841.2148, usercpu_time_millis: 616.051, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 615.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7899, kappa: 0.5762, kb_relative_information_score: 1924.7509, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7899, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1844.3569, usercpu_time_millis: 884.699, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 883.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7447, kappa: 0.4848, kb_relative_information_score: 760.7206, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.873, scimark_benchmark: 1736.9534, usercpu_time_millis: 61.334, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 60.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8012, kappa: 0.5989, kb_relative_information_score: 1641.0948, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1850.4554, usercpu_time_millis: 2567.075, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 2565.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.756, kappa: 0.5078, kb_relative_information_score: 1544.3543, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8309, scimark_benchmark: 1884.2844, usercpu_time_millis: 223.326, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 222.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7556, kappa: 0.507, kb_relative_information_score: 1091.024, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8332, scimark_benchmark: 1835.7111, usercpu_time_millis: 397.281, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 396.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7906, kappa: 0.5778, kb_relative_information_score: 2081.1308, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1805.43, usercpu_time_millis: 515.557, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 514.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 487.0683, mean_absolute_error: 0.4468, 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: 0.9, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9195, scimark_benchmark: 1836.6789, usercpu_time_millis: 346.126, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 345.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7568, kappa: 0.5095, kb_relative_information_score: 212.6938, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9596, scimark_benchmark: 1835.1458, usercpu_time_millis: 697.574, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 696.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1840.3077, usercpu_time_millis: 235.934, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 235.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7775, kappa: 0.5512, kb_relative_information_score: 1171.7696, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8131, scimark_benchmark: 1884.9573, usercpu_time_millis: 511.405, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 510.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1822.4514, usercpu_time_millis: 1214.458, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 1213.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 1267.0953, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1717.4383, usercpu_time_millis: 186.442, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 186.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1777.1205, usercpu_time_millis: 151.262, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 150.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7531, kappa: 0.5023, kb_relative_information_score: 1637.3353, mean_absolute_error: 0.2862, 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: 0.5765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8885, scimark_benchmark: 1829.6703, usercpu_time_millis: 1488.657, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1488.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7447, kappa: 0.4849, kb_relative_information_score: 788.5366, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7449, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8722, scimark_benchmark: 1832.1735, usercpu_time_millis: 727.918, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 727.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.746, kappa: 0.4879, kb_relative_information_score: 1629.9724, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7459, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9093, scimark_benchmark: 1885.8412, usercpu_time_millis: 1775.412, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1775.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.3813, kb_relative_information_score: 41.9598, mean_absolute_error: 0.4925, 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: 0.9921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9922, scimark_benchmark: 1885.4284, usercpu_time_millis: 868.94, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 868.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7565, kappa: 0.5089, kb_relative_information_score: 1593.4309, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.845, scimark_benchmark: 1760.8949, usercpu_time_millis: 737.31, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 736.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7489, kappa: 0.4933, kb_relative_information_score: 843.8073, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7497, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8612, scimark_benchmark: 1698.6436, usercpu_time_millis: 1295.812, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1295.378,

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