OpenML
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: -0.0038, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kb_relative_information_score: 0.0131, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9923, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4399, f_measure: 0.5482, kappa: -0.0922, kb_relative_information_score: -0.6321, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.3451, weighted_recall: 0.5087, number_of_instances: 1156, precision: 0.6166, predictive_accuracy: 0.5087, prior_entropy: 0.7628, relative_absolute_error: 1.4238, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.701, root_relative_squared_error: 1.6882, unweighted_recall: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9213, kappa: 0.7776, kb_relative_information_score: 0.5266, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9196, number_of_instances: 1156, precision: 0.9252, predictive_accuracy: 0.9196, prior_entropy: 0.7628, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6275, unweighted_recall: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, kb_relative_information_score: 0.091, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.889, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0012, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8216, kappa: 0.5646, kb_relative_information_score: 0.3564, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8062, number_of_instances: 1156, precision: 0.8879, predictive_accuracy: 0.8062, prior_entropy: 0.7628, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4402, root_relative_squared_error: 1.0601, unweighted_recall: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8252, kappa: 0.449, kb_relative_information_score: 0.4684, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8538, number_of_instances: 1156, precision: 0.8731, predictive_accuracy: 0.8538, prior_entropy: 0.7628, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7857, unweighted_recall: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.8639, kappa: 0.576, kb_relative_information_score: 0.4348, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8798, number_of_instances: 1156, precision: 0.8889, predictive_accuracy: 0.8798, prior_entropy: 0.7628, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.7652, unweighted_recall: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0014, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.931, kappa: 0.7981, kb_relative_information_score: -0.4584, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9317, number_of_instances: 1156, precision: 0.9307, predictive_accuracy: 0.9317, prior_entropy: 0.7628, relative_absolute_error: 1.1826, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9935, unweighted_recall: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, kb_relative_information_score: 0.0076, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9919, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9193, kappa: 0.7681, kb_relative_information_score: 0.6177, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9187, number_of_instances: 1156, precision: 0.9203, predictive_accuracy: 0.9187, prior_entropy: 0.7628, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.6397, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.9174, kappa: 0.7618, kb_relative_information_score: -0.5855, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.3451, weighted_recall: 0.917, number_of_instances: 1156, precision: 0.918, predictive_accuracy: 0.917, prior_entropy: 0.7628, relative_absolute_error: 1.2512, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4351, root_relative_squared_error: 1.0479, unweighted_recall: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9242, kappa: 0.7745, kb_relative_information_score: 0.671, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9265, number_of_instances: 1156, precision: 0.9251, predictive_accuracy: 0.9265, prior_entropy: 0.7628, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5666, unweighted_recall: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9078, kappa: 0.7232, kb_relative_information_score: 0.5709, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9118, number_of_instances: 1156, precision: 0.91, predictive_accuracy: 0.9118, prior_entropy: 0.7628, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6497, unweighted_recall: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9234, kappa: 0.7745, kb_relative_information_score: 0.6583, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9247, number_of_instances: 1156, precision: 0.9232, predictive_accuracy: 0.9247, prior_entropy: 0.7628, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5738, unweighted_recall: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2644, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.1333, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9193, kappa: 0.7681, kb_relative_information_score: 0.0615, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9187, number_of_instances: 1156, precision: 0.9203, predictive_accuracy: 0.9187, prior_entropy: 0.7628, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7991, unweighted_recall: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.5062, kappa: 0.1527, kb_relative_information_score: -0.7097, mean_absolute_error: 0.5147, mean_prior_absolute_error: 0.3451, weighted_recall: 0.4853, number_of_instances: 1156, precision: 0.7876, predictive_accuracy: 0.4853, prior_entropy: 0.7628, relative_absolute_error: 1.4915, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.7174, root_relative_squared_error: 1.7278, unweighted_recall: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8278, kappa: 0.4575, kb_relative_information_score: 0.4879, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3451, weighted_recall: 0.8555, number_of_instances: 1156, precision: 0.8744, predictive_accuracy: 0.8555, prior_entropy: 0.7628, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.782, unweighted_recall: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9266, kappa: 0.783, kb_relative_information_score: 0.7615, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3451, weighted_recall: 0.9282, number_of_instances: 1156, precision: 0.9267, predictive_accuracy: 0.9282, prior_entropy: 0.7628, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.268, root_relative_squared_error: 0.6453, unweighted_recall: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, kb_relative_information_score: 0.009, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9855, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kb_relative_information_score: 0.0006, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7785, number_of_instances: 1156, predictive_accuracy: 0.7785, prior_entropy: 0.7628, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7394, kappa: 0.4258, kb_relative_information_score: 0.0523, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.3451, weighted_recall: 0.7154, number_of_instances: 1156, precision: 0.8645, predictive_accuracy: 0.7154, prior_entropy: 0.7628, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.275, unweighted_recall: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5271, kappa: 0.0232, kb_relative_information_score: -0.7068, mean_absolute_error: 0.5138, mean_prior_absolute_error: 0.3451, weighted_recall: 0.4862, number_of_instances: 1156, precision: 0.6681, predictive_accuracy: 0.4862, prior_entropy: 0.7628, relative_absolute_error: 1.489, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.7168, root_relative_squared_error: 1.7264, unweighted_recall: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9216, kappa: 0.7733, kb_relative_information_score: 743.2247, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 0.7637, recall: 0.9213, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9354, kappa: 0.8086, kb_relative_information_score: 854.7996, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9358, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9247, kappa: 0.7814, kb_relative_information_score: 866.0243, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9246, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9468, kappa: 0.8424, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9477, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, scimark_benchmark: 1280.301, usercpu_time_millis: 656.25, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9457, kappa: 0.8404, kb_relative_information_score: 948.9719, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9456, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5577, scimark_benchmark: 1280.301, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 1461.2356, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3787, f_measure: 0.5726, kappa: -0.2447, kb_relative_information_score: -477.7275, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.5708, predictive_accuracy: 0.5744, prior_entropy: 0.7637, recall: 0.5744, relative_absolute_error: 1.2333, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.5712, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9319, kappa: 0.801, kb_relative_information_score: 826.2927, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9316, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5991, scimark_benchmark: 1787.9841, usercpu_time_millis: 6906.25, usercpu_time_millis_training: 6906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9319, kappa: 0.801, kb_relative_information_score: 826.2927, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9316, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5991, scimark_benchmark: 1574.7462, usercpu_time_millis: 6970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3787, f_measure: 0.5726, kappa: -0.2447, kb_relative_information_score: -477.7275, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.5708, predictive_accuracy: 0.5744, prior_entropy: 0.7637, recall: 0.5744, relative_absolute_error: 1.2333, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.5712, scimark_benchmark: 1661.3092, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 1356.7568, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9468, kappa: 0.8424, kb_relative_information_score: 955.6077, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9477, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5487, scimark_benchmark: 1341.3649, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9457, kappa: 0.8404, kb_relative_information_score: 948.9719, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9456, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5577, scimark_benchmark: 1598.2498, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9325, kappa: 0.8016, kb_relative_information_score: 905.1484, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9322, predictive_accuracy: 0.9334, prior_entropy: 0.7637, recall: 0.9334, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5849, scimark_benchmark: 1671.2677, usercpu_time_millis: 7656.25, usercpu_time_millis_training: 7656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9316, kappa: 0.7993, kb_relative_information_score: 877.3532, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9314, predictive_accuracy: 0.9325, prior_entropy: 0.7637, recall: 0.9325, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5802, scimark_benchmark: 1615.7511, usercpu_time_millis: 7460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9343, kappa: 0.8073, kb_relative_information_score: 892.6483, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9341, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5797, scimark_benchmark: 1060.9535, usercpu_time_millis: 937.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 921.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826, scimark_benchmark: 1430.0111, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 797.4943, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6287, scimark_benchmark: 1159.5163, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1222.7947, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 1348.8051, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1007.2169, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9312, kappa: 0.8042, kb_relative_information_score: 808.2173, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9337, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.577, scimark_benchmark: 551.0993, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9256, kappa: 0.7778, kb_relative_information_score: 864.0145, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9273, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5826, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9248, kappa: 0.7799, kb_relative_information_score: 869.3422, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9245, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6569, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 797.4943, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6287, scimark_benchmark: 1925.3565, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9312, kappa: 0.8042, kb_relative_information_score: 808.2173, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9337, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.577, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.926, kappa: 0.784, kb_relative_information_score: 802.5177, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9257, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5836, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8555, kb_relative_information_score: 857.2811, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.951, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4686, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7307, kappa: 0.4072, kb_relative_information_score: -54.1809, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8557, predictive_accuracy: 0.7059, prior_entropy: 0.7637, recall: 0.7059, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.2821, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9372, kappa: 0.8163, kb_relative_information_score: 825.9043, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9369, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5758, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.925, kappa: 0.7806, kb_relative_information_score: 804.1323, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9246, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.6209, scimark_benchmark: 1834.908, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9404, kappa: 0.8271, kb_relative_information_score: 896.3999, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4921, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9275, kappa: 0.7879, kb_relative_information_score: 802.0406, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9272, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5775, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9239, kappa: 0.7792, kb_relative_information_score: 757.261, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6225, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9267, kappa: 0.7836, kb_relative_information_score: 724.8308, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9267, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5979, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9234, kappa: 0.7722, kb_relative_information_score: 781.108, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9242, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5693, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8664, kappa: 0.6091, kb_relative_information_score: 647.0425, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8654, predictive_accuracy: 0.8676, prior_entropy: 0.7637, recall: 0.8676, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8762, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1574.7611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9486, kappa: 0.8497, kb_relative_information_score: 931.3858, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4743, scimark_benchmark: 1070.5969, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 934.1486, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.927, kappa: 0.7849, kb_relative_information_score: 787.8481, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9268, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5686, scimark_benchmark: 1447.2612, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8862, kappa: 0.66, kb_relative_information_score: 719.4534, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8861, predictive_accuracy: 0.8901, prior_entropy: 0.7637, recall: 0.8901, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6993, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.929, kappa: 0.7872, kb_relative_information_score: 883.9906, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9314, predictive_accuracy: 0.9317, prior_entropy: 0.7637, recall: 0.9317, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.5287, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9217, kappa: 0.7638, kb_relative_information_score: 854.0566, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9264, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5008, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9183, kappa: 0.7622, kb_relative_information_score: 778.4608, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9181, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5978, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,

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