Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 96917 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 9947.6006, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 9947.6006, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 9947.6006, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6804, kappa: 0.3527, kb_relative_information_score: 4170.7355, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6842, predictive_accuracy: 0.6848, prior_entropy: 0.9924, recall: 0.6848, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.938, scimark_benchmark: 1230.3004, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073, scimark_benchmark: 1230.3004, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.2914, kappa: 0.0054, kb_relative_information_score: -1036.928, mean_absolute_error: 0.5226, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5914, predictive_accuracy: 0.4527, prior_entropy: 0.9924, recall: 0.4527, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2233, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073, scimark_benchmark: 1230.3004, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5117, kappa: 0.1131, kb_relative_information_score: 584.3965, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6399, predictive_accuracy: 0.5931, prior_entropy: 0.9924, recall: 0.5931, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9845, scimark_benchmark: 479.2609, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6324, kappa: 0.2648, kb_relative_information_score: 2528.0277, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6384, predictive_accuracy: 0.6314, prior_entropy: 0.9924, recall: 0.6314, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0008, scimark_benchmark: 473.1656, usercpu_time_millis: 610, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6289, kappa: 0.2511, kb_relative_information_score: 1566.7021, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6366, predictive_accuracy: 0.6381, prior_entropy: 0.9924, recall: 0.6381, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, scimark_benchmark: 1254.1389, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 9947.6006, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7604, scimark_benchmark: 473.1656, usercpu_time_millis: 3740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8399, kappa: 0.6763, kb_relative_information_score: 10109.5252, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8398, predictive_accuracy: 0.8399, prior_entropy: 0.9924, recall: 0.8399, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8044, scimark_benchmark: 473.1656, usercpu_time_millis: 90120, usercpu_time_millis_testing: 90100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6798, kappa: 0.3516, kb_relative_information_score: 4167.7566, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6837, predictive_accuracy: 0.6843, prior_entropy: 0.9924, recall: 0.6843, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9381, scimark_benchmark: 1231.2415, usercpu_time_millis: 170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 9839.3139, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8524, predictive_accuracy: 0.8524, prior_entropy: 0.9924, recall: 0.8524, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7061, scimark_benchmark: 1218.6073, usercpu_time_millis: 1570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5528, kappa: 0.0976, kb_relative_information_score: 264.9908, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5563, predictive_accuracy: 0.564, prior_entropy: 0.9924, recall: 0.564, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9865, scimark_benchmark: 476.9186, usercpu_time_millis: 70330, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9849, kappa: 0.9695, kb_relative_information_score: 14308.5938, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9924, recall: 0.9849, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2235, scimark_benchmark: 1247.9106, usercpu_time_millis: 333040, usercpu_time_millis_testing: 19900, usercpu_time_millis_training: 313140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7985, kappa: 0.5917, kb_relative_information_score: 8888.2072, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.7997, prior_entropy: 0.9924, recall: 0.7997, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8998, usercpu_time_millis: 231.715, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 230.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, usercpu_time_millis: 9.286, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 9.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7583, kappa: 0.5102, kb_relative_information_score: 7663.7629, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.759, predictive_accuracy: 0.7595, prior_entropy: 0.9924, recall: 0.7595, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.986, usercpu_time_millis: 38.481, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 37.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.6318, kappa: 0.2563, kb_relative_information_score: 4033.0726, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6384, predictive_accuracy: 0.6401, prior_entropy: 0.9924, recall: 0.6401, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5999, root_relative_squared_error: 1.2061, usercpu_time_millis: 4.15, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 3.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8902, kappa: 0.7775, kb_relative_information_score: 11657.9284, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8923, predictive_accuracy: 0.8908, prior_entropy: 0.9924, recall: 0.8908, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6644, usercpu_time_millis: 103.675, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 102.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8477, kappa: 0.6915, kb_relative_information_score: 10360.383, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8482, predictive_accuracy: 0.8481, prior_entropy: 0.9924, recall: 0.8481, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7835, usercpu_time_millis: 1271.269, usercpu_time_millis_testing: 6.196, usercpu_time_millis_training: 1265.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7884, kappa: 0.5713, kb_relative_information_score: 8579.5579, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7896, predictive_accuracy: 0.7896, prior_entropy: 0.9924, recall: 0.7896, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9223, usercpu_time_millis: 11.59, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 11.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4502, kappa: -0.0001, kb_relative_information_score: 1015.6197, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5051, predictive_accuracy: 0.5409, prior_entropy: 0.9924, recall: 0.5409, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6776, root_relative_squared_error: 1.3623, usercpu_time_millis: 4.629, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 4.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 8.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5272, kappa: 0.0825, kb_relative_information_score: 1874.5582, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5615, predictive_accuracy: 0.5692, prior_entropy: 0.9924, recall: 0.5692, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6564, root_relative_squared_error: 1.3197, usercpu_time_millis: 9.674, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 9.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5315, kappa: 0.096, kb_relative_information_score: 2099.9534, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5733, predictive_accuracy: 0.5766, prior_entropy: 0.9924, recall: 0.5766, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3083, usercpu_time_millis: 11.284, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 11.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.6303, kappa: 0.2533, kb_relative_information_score: 3992.4609, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6371, predictive_accuracy: 0.6388, prior_entropy: 0.9924, recall: 0.6388, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.601, root_relative_squared_error: 1.2084, usercpu_time_millis: 97.03, usercpu_time_millis_testing: 14.184, usercpu_time_millis_training: 82.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8399, kappa: 0.6763, kb_relative_information_score: 10110.6208, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8398, predictive_accuracy: 0.8399, prior_entropy: 0.9924, recall: 0.8399, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8044, usercpu_time_millis: 190.678, usercpu_time_millis_testing: 26.084, usercpu_time_millis_training: 164.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8443, kappa: 0.6852, kb_relative_information_score: 10246.6701, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8443, predictive_accuracy: 0.8444, prior_entropy: 0.9924, recall: 0.8444, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7931, usercpu_time_millis: 13.265, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 12.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8379, kappa: 0.6716, kb_relative_information_score: 10070.009, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8389, predictive_accuracy: 0.8386, prior_entropy: 0.9924, recall: 0.8386, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8078, usercpu_time_millis: 232.38, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 232.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 10833.5099, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7423, usercpu_time_millis: 5.482, usercpu_time_millis_testing: 5.436, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7997, kappa: 0.5941, kb_relative_information_score: 8947.0942, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8037, predictive_accuracy: 0.8017, prior_entropy: 0.9924, recall: 0.8017, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8954, usercpu_time_millis: 121.233, usercpu_time_millis_testing: 11.673, usercpu_time_millis_training: 109.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.6303, kappa: 0.2533, kb_relative_information_score: 3992.4609, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6371, predictive_accuracy: 0.6388, prior_entropy: 0.9924, recall: 0.6388, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.601, root_relative_squared_error: 1.2084, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.636,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.6321, kappa: 0.2569, kb_relative_information_score: 4043.2256, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6388, predictive_accuracy: 0.6405, prior_entropy: 0.9924, recall: 0.6405, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.2056, usercpu_time_millis: 5.909, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 5.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3295, kappa: -0.0002, kb_relative_information_score: -1613.991, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5046, predictive_accuracy: 0.4545, prior_entropy: 0.9924, recall: 0.4545, relative_absolute_error: 1.1026, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.485, usercpu_time_millis: 8.74, usercpu_time_millis_testing: 7.842, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3918, kappa: -0.0002, kb_relative_information_score: 1324.269, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.416, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3471, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4859, kappa: -0.0002, kb_relative_information_score: -543.8714, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5051, predictive_accuracy: 0.4897, prior_entropy: 0.9924, recall: 0.4897, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7144, root_relative_squared_error: 1.4363, usercpu_time_millis: 2.765, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.732,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6093, kappa: 0.2182, kb_relative_information_score: 3598.5269, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6264, predictive_accuracy: 0.6258, prior_entropy: 0.9924, recall: 0.6258, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2298, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3935, kappa: 0.0002, kb_relative_information_score: 1324.269, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5142, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3471, usercpu_time_millis: 10.247, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 10.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8279, kappa: 0.652, kb_relative_information_score: 9747.1456, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9924, recall: 0.828, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8339, usercpu_time_millis: 46.423, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 46.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.4138, kappa: 0.0186, kb_relative_information_score: 1535.4501, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6318, predictive_accuracy: 0.558, prior_entropy: 0.9924, recall: 0.558, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.3367, usercpu_time_millis: 3.474, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 3.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.4053, kappa: 0.0083, kb_relative_information_score: 1405.4925, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5777, predictive_accuracy: 0.5537, prior_entropy: 0.9924, recall: 0.5537, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.668, root_relative_squared_error: 1.3431, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.34,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.936, kappa: 0.8704, kb_relative_information_score: 13036.6973, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9365, predictive_accuracy: 0.9361, prior_entropy: 0.9924, recall: 0.9361, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5082, usercpu_time_millis: 159.518, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 158.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9348, kappa: 0.868, kb_relative_information_score: 13000.1467, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9352, predictive_accuracy: 0.9349, prior_entropy: 0.9924, recall: 0.9349, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5129, usercpu_time_millis: 1644.978, usercpu_time_millis_testing: 300.365, usercpu_time_millis_training: 1344.613,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6242, kappa: 0.2694, kb_relative_information_score: 4534.6277, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6865, predictive_accuracy: 0.6566, prior_entropy: 0.9924, recall: 0.6566, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1782, usercpu_time_millis: 318.312, usercpu_time_millis_testing: 10.172, usercpu_time_millis_training: 308.14,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.5861, kappa: 0.2017, kb_relative_information_score: 3608.6799, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6487, predictive_accuracy: 0.6262, prior_entropy: 0.9924, recall: 0.6262, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8885, kappa: 0.7741, kb_relative_information_score: 11609.1943, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.891, predictive_accuracy: 0.8892, prior_entropy: 0.9924, recall: 0.8892, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6693, usercpu_time_millis: 3099.799, usercpu_time_millis_testing: 636.525, usercpu_time_millis_training: 2463.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8276, kappa: 0.6509, kb_relative_information_score: 8625.7271, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8281, predictive_accuracy: 0.8282, prior_entropy: 0.9924, recall: 0.8282, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7448, scimark_benchmark: 1089.2445, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9354, kappa: 0.8693, kb_relative_information_score: 9916.1632, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 0.9924, recall: 0.9356, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5073, scimark_benchmark: 1197.2206, usercpu_time_millis: 11280, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 9980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.838, kappa: 0.6718, kb_relative_information_score: 8501.9084, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8391, predictive_accuracy: 0.8387, prior_entropy: 0.9924, recall: 0.8387, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7333, scimark_benchmark: 1126.6501, usercpu_time_millis: 61990, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 61940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073, scimark_benchmark: 1115.3111, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3959, kappa: 0.0037, kb_relative_information_score: 1370.9725, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6495, predictive_accuracy: 0.5526, prior_entropy: 0.9924, recall: 0.5526, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6689, root_relative_squared_error: 1.3448, scimark_benchmark: 1103.1085, usercpu_time_millis: 1550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 1330.3608, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.5513, prior_entropy: 0.9924, recall: 0.5513, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3468, scimark_benchmark: 1025.4123, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8409, kappa: 0.6781, kb_relative_information_score: 8730.4915, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.841, predictive_accuracy: 0.8412, prior_entropy: 0.9924, recall: 0.8412, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6758, scimark_benchmark: 1371.4821, usercpu_time_millis: 23670, usercpu_time_millis_testing: 23670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 7933.2409, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8304, predictive_accuracy: 0.828, prior_entropy: 0.9924, recall: 0.828, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6854, scimark_benchmark: 1362.8342, usercpu_time_millis: 26680, usercpu_time_millis_testing: 26680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7273, kappa: 0.4487, kb_relative_information_score: 6688.3479, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7272, predictive_accuracy: 0.7274, prior_entropy: 0.9924, recall: 0.7274, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0496, scimark_benchmark: 1300.5992, usercpu_time_millis: 10160, usercpu_time_millis_testing: 10050, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.3805, kappa: 0.0159, kb_relative_information_score: -1210.9292, mean_absolute_error: 0.5319, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5285, predictive_accuracy: 0.4689, prior_entropy: 0.9924, recall: 0.4689, relative_absolute_error: 1.0751, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6864, root_relative_squared_error: 1.3801, scimark_benchmark: 646.9275, usercpu_time_millis: 170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7803, kappa: 0.5551, kb_relative_information_score: 6617.5309, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7805, predictive_accuracy: 0.7809, prior_entropy: 0.9924, recall: 0.7809, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7672, scimark_benchmark: 1175.2861, usercpu_time_millis: 9670, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 8280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.6318, kappa: 0.2992, kb_relative_information_score: 2680.6033, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6797, predictive_accuracy: 0.6389, prior_entropy: 0.9924, recall: 0.6389, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9743, scimark_benchmark: 1139.3792, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7496, kappa: 0.4927, kb_relative_information_score: 5893.33, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7498, predictive_accuracy: 0.7505, prior_entropy: 0.9924, recall: 0.7505, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.848, scimark_benchmark: 1062.1579, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, scimark_benchmark: 697.7333, usercpu_time_millis: 1510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7591, kappa: 0.5123, kb_relative_information_score: 6444.6012, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7592, predictive_accuracy: 0.7598, prior_entropy: 0.9924, recall: 0.7598, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8184, scimark_benchmark: 990.8994, usercpu_time_millis: 26510, usercpu_time_millis_testing: 26290, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7608, kappa: 0.5155, kb_relative_information_score: 6148.2414, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.766, predictive_accuracy: 0.7639, prior_entropy: 0.9924, recall: 0.7639, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7969, scimark_benchmark: 1129.2435, usercpu_time_millis: 13000, usercpu_time_millis_testing: 12880, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.819, kappa: 0.6347, kb_relative_information_score: 9519.5368, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8373, predictive_accuracy: 0.8235, prior_entropy: 0.9924, recall: 0.8235, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7109, scimark_benchmark: 1141.4872, usercpu_time_millis: 35480, usercpu_time_millis_testing: 35480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7239, kappa: 0.4461, kb_relative_information_score: 6585.7288, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7486, predictive_accuracy: 0.7342, prior_entropy: 0.9924, recall: 0.7342, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9057, scimark_benchmark: 1116.0931, usercpu_time_millis: 14480, usercpu_time_millis_testing: 14330, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5293, kappa: 0.0857, kb_relative_information_score: 166.6389, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5632, predictive_accuracy: 0.5704, prior_entropy: 0.9924, recall: 0.5704, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9908, scimark_benchmark: 639.9069, usercpu_time_millis: 10680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7036, kappa: 0.3995, kb_relative_information_score: 2811.5838, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7066, predictive_accuracy: 0.7069, prior_entropy: 0.9924, recall: 0.7069, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8971, scimark_benchmark: 1051.1082, usercpu_time_millis: 9770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.4399, kappa: 0.0123, kb_relative_information_score: 204.2544, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5264, predictive_accuracy: 0.5502, prior_entropy: 0.9924, recall: 0.5502, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9934, scimark_benchmark: 822.4261, usercpu_time_millis: 640, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4384, kappa: 0.0254, kb_relative_information_score: -92.1854, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.5578, prior_entropy: 0.9924, recall: 0.5578, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9998, scimark_benchmark: 1043.3425, usercpu_time_millis: 6280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8459, kappa: 0.6883, kb_relative_information_score: 9864.2222, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9924, recall: 0.846, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7596, scimark_benchmark: 944.2477, usercpu_time_millis: 1280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8415, kappa: 0.6793, kb_relative_information_score: 9526.7517, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8414, predictive_accuracy: 0.8416, prior_entropy: 0.9924, recall: 0.8416, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7273, scimark_benchmark: 901.458, usercpu_time_millis: 17910, usercpu_time_millis_testing: 17760, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1192.5809, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6999, root_relative_squared_error: 1.4073, scimark_benchmark: 935.6931, usercpu_time_millis: 220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6302, kappa: 0.2539, kb_relative_information_score: 1541.8562, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6382, predictive_accuracy: 0.6395, prior_entropy: 0.9924, recall: 0.6395, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9541, scimark_benchmark: 1341.6916, usercpu_time_millis: 890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9395, kappa: 0.8775, kb_relative_information_score: 9948.0806, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9399, predictive_accuracy: 0.9396, prior_entropy: 0.9924, recall: 0.9396, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5033, scimark_benchmark: 1365.4386, usercpu_time_millis: 54390, usercpu_time_millis_testing: 5760, usercpu_time_millis_training: 48630,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs