Task
Supervised Classification on analcatdata_negotiation

Supervised Classification on analcatdata_negotiation

Task 4467 Supervised Classification analcatdata_negotiation 224 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

224 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8783, kappa: 0.7061, kb_relative_information_score: 495.5085, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.883, predictive_accuracy: 0.8761, prior_entropy: 0.8651, recall: 0.8761, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7164, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8176, kappa: 0.5567, kb_relative_information_score: 423.1171, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8211, predictive_accuracy: 0.8152, prior_entropy: 0.8651, recall: 0.8152, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8273, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8468, kappa: 0.632, kb_relative_information_score: 433.0055, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8538, predictive_accuracy: 0.8435, prior_entropy: 0.8651, recall: 0.8435, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7278, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8554, kappa: 0.6431, kb_relative_information_score: 483.0846, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.8651, recall: 0.8554, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6839, scimark_benchmark: 934.3687, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8314, kappa: 0.5866, kb_relative_information_score: 409.2578, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8326, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7899, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8783, kappa: 0.7061, kb_relative_information_score: 495.5085, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.883, predictive_accuracy: 0.8761, prior_entropy: 0.8651, recall: 0.8761, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7164, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8176, kappa: 0.5567, kb_relative_information_score: 423.1171, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8211, predictive_accuracy: 0.8152, prior_entropy: 0.8651, recall: 0.8152, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8273, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 943.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8468, kappa: 0.632, kb_relative_information_score: 433.0055, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8538, predictive_accuracy: 0.8435, prior_entropy: 0.8651, recall: 0.8435, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7278, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8554, kappa: 0.6431, kb_relative_information_score: 483.0846, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.8651, recall: 0.8554, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6839, scimark_benchmark: 919.3788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8314, kappa: 0.5866, kb_relative_information_score: 409.2578, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8326, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7899, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8688, kappa: 0.6745, kb_relative_information_score: 433.7303, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8682, predictive_accuracy: 0.8696, prior_entropy: 0.8651, recall: 0.8696, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.7242, scimark_benchmark: 945.6228, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8649, kappa: 0.666, kb_relative_information_score: 432.5244, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8646, predictive_accuracy: 0.8652, prior_entropy: 0.8651, recall: 0.8652, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7256, scimark_benchmark: 934.695, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8636, kappa: 0.6622, kb_relative_information_score: 434.7461, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8631, predictive_accuracy: 0.8641, prior_entropy: 0.8651, recall: 0.8641, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.726, scimark_benchmark: 935.3212, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8693, kappa: 0.6768, kb_relative_information_score: 440.025, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.869, predictive_accuracy: 0.8696, prior_entropy: 0.8651, recall: 0.8696, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.7213, scimark_benchmark: 921.2615, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8518, kappa: 0.6337, kb_relative_information_score: 420.123, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8515, predictive_accuracy: 0.8522, prior_entropy: 0.8651, recall: 0.8522, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7468, scimark_benchmark: 920.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8562, kappa: 0.6445, kb_relative_information_score: 522.2232, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8559, predictive_accuracy: 0.8565, prior_entropy: 0.8651, recall: 0.8565, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7619, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8562, kappa: 0.6445, kb_relative_information_score: 522.2232, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8559, predictive_accuracy: 0.8565, prior_entropy: 0.8651, recall: 0.8565, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7619, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8562, kappa: 0.6445, kb_relative_information_score: 522.2232, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8559, predictive_accuracy: 0.8565, prior_entropy: 0.8651, recall: 0.8565, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7619, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8562, kappa: 0.6445, kb_relative_information_score: 522.2232, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8559, predictive_accuracy: 0.8565, prior_entropy: 0.8651, recall: 0.8565, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7619, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8572, kappa: 0.6468, kb_relative_information_score: 523.1488, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8568, predictive_accuracy: 0.8576, prior_entropy: 0.8651, recall: 0.8576, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7603, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4347, f_measure: 0.5993, kb_relative_information_score: -6.2492, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5147, predictive_accuracy: 0.7174, prior_entropy: 0.8651, recall: 0.7174, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.4509, root_relative_squared_error: 1.0014, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8349, kappa: 0.596, kb_relative_information_score: 507.568, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8365, predictive_accuracy: 0.8337, prior_entropy: 0.8651, recall: 0.8337, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8839, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8379, kappa: 0.6025, kb_relative_information_score: 511.7334, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.839, predictive_accuracy: 0.837, prior_entropy: 0.8651, recall: 0.837, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8675, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8348, kappa: 0.5984, kb_relative_information_score: 513.7581, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8381, predictive_accuracy: 0.8326, prior_entropy: 0.8651, recall: 0.8326, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.854, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8425, kappa: 0.6149, kb_relative_information_score: 519.7541, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8442, predictive_accuracy: 0.8413, prior_entropy: 0.8651, recall: 0.8413, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.8253, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8604, kappa: 0.6686, kb_relative_information_score: 552.9567, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8715, predictive_accuracy: 0.8565, prior_entropy: 0.8651, recall: 0.8565, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7994, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5993, kb_relative_information_score: 225.8641, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5147, predictive_accuracy: 0.7174, prior_entropy: 0.8651, recall: 0.7174, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.1806, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8339, kappa: 0.6054, kb_relative_information_score: 431.5185, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8451, predictive_accuracy: 0.8293, prior_entropy: 0.8651, recall: 0.8293, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8258, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.873, kappa: 0.6935, kb_relative_information_score: 186.0892, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.878, predictive_accuracy: 0.8707, prior_entropy: 0.8651, recall: 0.8707, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.8131, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8242, kappa: 0.5548, kb_relative_information_score: 282.3937, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8246, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7898, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8783, kappa: 0.7061, kb_relative_information_score: 495.5085, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.883, predictive_accuracy: 0.8761, prior_entropy: 0.8651, recall: 0.8761, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7164, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 906.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8176, kappa: 0.5567, kb_relative_information_score: 423.1171, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8211, predictive_accuracy: 0.8152, prior_entropy: 0.8651, recall: 0.8152, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8273, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 928.8135, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8468, kappa: 0.632, kb_relative_information_score: 433.0055, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8538, predictive_accuracy: 0.8435, prior_entropy: 0.8651, recall: 0.8435, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7278, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8554, kappa: 0.6431, kb_relative_information_score: 483.0846, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.8651, recall: 0.8554, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6839, scimark_benchmark: 922.5036, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8314, kappa: 0.5866, kb_relative_information_score: 409.2578, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8326, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7899, scimark_benchmark: 910.6607, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8783, kappa: 0.7061, kb_relative_information_score: 495.5085, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.883, predictive_accuracy: 0.8761, prior_entropy: 0.8651, recall: 0.8761, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7164, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 932.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 1337.1889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.594, kappa: -0.0214, kb_relative_information_score: 199.4146, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.5124, predictive_accuracy: 0.7065, prior_entropy: 0.8651, recall: 0.7065, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.2031, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8468, kappa: 0.632, kb_relative_information_score: 433.0055, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8538, predictive_accuracy: 0.8435, prior_entropy: 0.8651, recall: 0.8435, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7278, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8314, kappa: 0.5866, kb_relative_information_score: 409.2578, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8326, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7899, scimark_benchmark: 1342.8632, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 1312.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8468, kappa: 0.632, kb_relative_information_score: 433.0055, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8538, predictive_accuracy: 0.8435, prior_entropy: 0.8651, recall: 0.8435, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7278, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8554, kappa: 0.6431, kb_relative_information_score: 483.0846, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.8651, recall: 0.8554, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6839, scimark_benchmark: 1309.0674, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8854, kappa: 0.7219, kb_relative_information_score: 536.8275, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8887, predictive_accuracy: 0.8837, prior_entropy: 0.8651, recall: 0.8837, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6869, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8554, kappa: 0.6431, kb_relative_information_score: 483.0846, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8553, predictive_accuracy: 0.8554, prior_entropy: 0.8651, recall: 0.8554, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6839, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8182, kappa: 0.5568, kb_relative_information_score: 394.548, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8208, predictive_accuracy: 0.8163, prior_entropy: 0.8651, recall: 0.8163, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7858, scimark_benchmark: 1314.2279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8833, kappa: 0.7174, kb_relative_information_score: 504.7869, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.887, predictive_accuracy: 0.8815, prior_entropy: 0.8651, recall: 0.8815, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6914, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8314, kappa: 0.5866, kb_relative_information_score: 409.2578, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8326, predictive_accuracy: 0.8304, prior_entropy: 0.8651, recall: 0.8304, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7899, scimark_benchmark: 1320.8283, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8531, kappa: 0.6348, kb_relative_information_score: 457.1024, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4075, number_of_instances: 920, precision: 0.8523, predictive_accuracy: 0.8543, prior_entropy: 0.8651, recall: 0.8543, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4503, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7294, scimark_benchmark: 1332.6745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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