Task
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 3823 Supervised Classification postoperative-patient-data 494 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

494 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4621, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.7513, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3203, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -8.765, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: -1.1783, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.5911, kb_relative_information_score: -0.4351, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 1.5299, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3783, f_measure: 0.5911, kb_relative_information_score: -7.3399, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3591, f_measure: 0.5642, kappa: -0.1115, kb_relative_information_score: -11.565, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5339, predictive_accuracy: 0.6111, prior_entropy: 0.8732, recall: 0.6111, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.43, f_measure: 0.5787, kappa: -0.0706, kb_relative_information_score: -3.8502, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5382, predictive_accuracy: 0.6556, prior_entropy: 0.8732, recall: 0.6556, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4561, f_measure: 0.5801, kappa: -0.043, kb_relative_information_score: -3.2359, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 0.8732, recall: 0.6889, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4069, f_measure: 0.5455, kappa: -0.1573, kb_relative_information_score: -10.66, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 0.8732, recall: 0.6222, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.525, root_relative_squared_error: 1.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -0.2006, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3401, f_measure: 0.5911, kb_relative_information_score: -4.3206, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5911, kb_relative_information_score: -0.6774, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.454, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: 14.2928, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.6039, kappa: 0.0098, kb_relative_information_score: 3.2015, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.6031, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2945, f_measure: 0.5911, kb_relative_information_score: -1.6347, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5911, kb_relative_information_score: -0.6774, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.454, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4561, f_measure: 0.5911, kb_relative_information_score: -0.6322, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5911, kb_relative_information_score: 0.073, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.454, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2605, f_measure: 0.5911, kb_relative_information_score: -11.8235, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.8951, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.8951, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3792, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.1167, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3852, f_measure: 0.6524, kappa: 0.115, kb_relative_information_score: -1.0047, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.6648, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3792, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.1167, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.5593, kappa: -0.125, kb_relative_information_score: -7.6586, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5178, predictive_accuracy: 0.6222, prior_entropy: 0.8732, recall: 0.6222, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3792, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.1167, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.6101, kappa: 0.0315, kb_relative_information_score: -3.6215, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.6535, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3801, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.0149, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2825, f_measure: 0.4033, kappa: -0.407, kb_relative_information_score: -30.7275, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4191, predictive_accuracy: 0.3889, prior_entropy: 0.8732, recall: 0.3889, relative_absolute_error: 1.1894, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.2835, scimark_benchmark: 1787.9841, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2825, f_measure: 0.4033, kappa: -0.407, kb_relative_information_score: -30.7275, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4191, predictive_accuracy: 0.3889, prior_entropy: 0.8732, recall: 0.3889, relative_absolute_error: 1.1894, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.2835, scimark_benchmark: 1368.9244, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1379.7221, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1395.5116, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.8117, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1858, scimark_benchmark: 1597.865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4279, f_measure: 0.5852, kappa: -0.0588, kb_relative_information_score: 3.807, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5556, predictive_accuracy: 0.6444, prior_entropy: 0.8732, recall: 0.6444, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.586, root_relative_squared_error: 1.2929, scimark_benchmark: 1671.2677, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1508.4962, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5891, kappa: -0.048, kb_relative_information_score: -0.2404, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5654, predictive_accuracy: 0.6333, prior_entropy: 0.8732, recall: 0.6333, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.2252, scimark_benchmark: 1408.501, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4081, f_measure: 0.5658, kappa: -0.1074, kb_relative_information_score: 3.8365, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5237, predictive_accuracy: 0.6333, prior_entropy: 0.8732, recall: 0.6333, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5757, root_relative_squared_error: 1.2702, scimark_benchmark: 1060.9535, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3801, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.0149, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0789, scimark_benchmark: 1168.6253, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2629, f_measure: 0.4283, kappa: -0.3749, kb_relative_information_score: -29.5343, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4347, predictive_accuracy: 0.4222, prior_entropy: 0.8732, recall: 0.4222, relative_absolute_error: 1.1813, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.2765, scimark_benchmark: 1304.0081, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3401, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -11.0242, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0551, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1133, scimark_benchmark: 1199.4161, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.433, f_measure: 0.5574, kappa: -0.1215, kb_relative_information_score: -9.6917, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.491, predictive_accuracy: 0.6444, prior_entropy: 0.8732, recall: 0.6444, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.567, root_relative_squared_error: 1.251, scimark_benchmark: 1204.144, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2611, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -14.206, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1193, scimark_benchmark: 1025.461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.5801, kappa: -0.043, kb_relative_information_score: -1.6077, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 0.8732, recall: 0.6889, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.026, scimark_benchmark: 533.5213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4153, f_measure: 0.5911, kb_relative_information_score: 0.24, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0063, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.5527, kappa: -0.1421, kb_relative_information_score: -6.5854, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5123, predictive_accuracy: 0.6111, prior_entropy: 0.8732, recall: 0.6111, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.1093, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4621, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.7513, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0079, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.8951, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0087, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3801, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.0149, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0789, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2464, f_measure: 0.4118, kappa: -0.3966, kb_relative_information_score: -32.034, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4244, predictive_accuracy: 0.4, prior_entropy: 0.8732, recall: 0.4, relative_absolute_error: 1.2047, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5833, root_relative_squared_error: 1.2869, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3401, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -11.0242, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0551, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1133, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.433, f_measure: 0.5574, kappa: -0.1215, kb_relative_information_score: -9.6917, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.491, predictive_accuracy: 0.6444, prior_entropy: 0.8732, recall: 0.6444, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.567, root_relative_squared_error: 1.251, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2611, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -14.206, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1193, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 2.0746, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.001, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4153, f_measure: 0.5911, kb_relative_information_score: 0.24, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0063, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5658, kappa: -0.1074, kb_relative_information_score: -5.1698, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5237, predictive_accuracy: 0.6333, prior_entropy: 0.8732, recall: 0.6333, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0996, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4621, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.7513, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0079, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.8951, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0087, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3401, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -11.0242, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0551, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1133, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 1.5299, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.0009, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.244, f_measure: 0.4118, kappa: -0.3966, kb_relative_information_score: -32.0005, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4244, predictive_accuracy: 0.4, prior_entropy: 0.8732, recall: 0.4, relative_absolute_error: 1.2047, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.583, root_relative_squared_error: 1.2862, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2611, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -14.206, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1193, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2611, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -14.206, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1193, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.317, f_measure: 0.5801, kappa: -0.043, kb_relative_information_score: -10.4773, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 0.8732, recall: 0.6889, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0914, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: -2.5287, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.027, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -6.2692, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0802, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3474, f_measure: 0.5976, kappa: -0.0112, kb_relative_information_score: -7.8253, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5766, predictive_accuracy: 0.6889, prior_entropy: 0.8732, recall: 0.6889, relative_absolute_error: 1.0324, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0878, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1491.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3401, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -11.0242, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0551, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1133, scimark_benchmark: 964.2409, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 1.5299, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.0009, scimark_benchmark: 1012.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.5911, kb_relative_information_score: -3.0577, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.0235, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -4.2375, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.054, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3672, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -11.4143, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.1523, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3963, f_measure: 0.5911, kb_relative_information_score: -5.0362, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0373, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.5911, kb_relative_information_score: -4.6115, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0366, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2605, f_measure: 0.5911, kb_relative_information_score: -11.8235, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0933, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5745, kappa: -0.0636, kb_relative_information_score: 14.013, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.2523, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4219, f_measure: 0.5911, kb_relative_information_score: -1.0079, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0111, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4105, f_measure: 0.5911, kb_relative_information_score: 0.7225, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.005, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3996, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -4.4738, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0524, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4621, f_measure: 0.5856, kappa: -0.0219, kb_relative_information_score: -0.7513, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 0.8732, recall: 0.7, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0079, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.354, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -6.1077, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0683, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3801, f_measure: 0.5913, kappa: -0.0316, kb_relative_information_score: -9.0149, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5597, predictive_accuracy: 0.6778, prior_entropy: 0.8732, recall: 0.6778, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0789, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.354, f_measure: 0.5689, kappa: -0.0835, kb_relative_information_score: -6.1077, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 0.8732, recall: 0.6667, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0683, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5911, kb_relative_information_score: 0.0826, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4128, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 0.8732, recall: 0.7111, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4533, root_mean_squared_error: 0.454, root_relative_squared_error: 1.0016, scimark_benchmark: 1806.5905,

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