OpenML
Supervised Classification on shuttle-landing-control

Supervised Classification on shuttle-landing-control

Task 3012 Supervised Classification shuttle-landing-control 458 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -0.8583, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0405, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 2.7276, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.9321, kappa: 0.8571, kb_relative_information_score: 4.1867, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.94, predictive_accuracy: 0.9333, prior_entropy: 0.9774, recall: 0.9333, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, f_measure: 0.3429, kappa: -0.3636, kb_relative_information_score: -3.9291, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.2439, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.3429, kappa: -0.3636, kb_relative_information_score: -3.3242, mean_absolute_error: 0.5757, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.1934, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6786, root_relative_squared_error: 1.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4259, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.7527, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0981, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7224, root_relative_squared_error: 1.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.4299, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.45, kb_relative_information_score: 0.2155, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.5839, kappa: 0.1935, kb_relative_information_score: 2.2424, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.7857, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2685, f_measure: 0.45, kb_relative_information_score: -0.6262, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.45, kb_relative_information_score: 1.3996, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 0.6073, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.5364, kappa: 0.0625, kb_relative_information_score: 1.0759, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.5692, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6603, kappa: 0.2857, kb_relative_information_score: 2.402, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.66, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.2722, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.8342, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.8342, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.45, kb_relative_information_score: 0.9118, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: -0.5758, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6372, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.45, kb_relative_information_score: 1.3365, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.45, kb_relative_information_score: -0.0056, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.4474, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4074, f_measure: 0.45, kb_relative_information_score: 0.1018, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.45, kb_relative_information_score: 0.3149, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.45, kb_relative_information_score: 0.3149, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.7336, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: -0.0601, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.7336, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 1.1, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.7336, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 2.4366, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 2.9059, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1379.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1685.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4259, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -2.3376, mean_absolute_error: 0.5471, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1342, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6881, root_relative_squared_error: 1.4041, scimark_benchmark: 1918.4916, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -1.371, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0712, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6808, root_relative_squared_error: 1.3893, scimark_benchmark: 1931.8468, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1854.0453, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 2.3497, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1742.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394, scimark_benchmark: 1377.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -0.4993, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2919, scimark_benchmark: 1265.8633, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -1.5086, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0701, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6413, root_relative_squared_error: 1.3086, scimark_benchmark: 1416.417, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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: 0.7407, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 2.9059, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.938, scimark_benchmark: 1338.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903, scimark_benchmark: 1340.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -0.8261, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0305, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.2953, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.3429, kappa: -0.3636, kb_relative_information_score: -4.5894, mean_absolute_error: 0.624, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.2938, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7802, root_relative_squared_error: 1.5921, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.45, kb_relative_information_score: 1.7804, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0792, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6036, kappa: 0.2105, kb_relative_information_score: 2.3493, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6286, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, f_measure: 0.45, kb_relative_information_score: 0.1187, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.493, root_relative_squared_error: 1.006, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.45, kb_relative_information_score: 1.3066, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0557, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2685, f_measure: 0.45, kb_relative_information_score: -0.6262, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0866, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 2.9059, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.938, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -0.8679, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0326, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6362, root_relative_squared_error: 1.2982, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.3429, kappa: -0.3636, kb_relative_information_score: -4.5894, mean_absolute_error: 0.624, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.2938, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7802, root_relative_squared_error: 1.5921, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.45, kb_relative_information_score: 1.7804, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0792, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6036, kappa: 0.2105, kb_relative_information_score: 2.3493, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6286, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, f_measure: 0.45, kb_relative_information_score: 0.1187, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.493, root_relative_squared_error: 1.006, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 1.1755, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0585, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2685, f_measure: 0.45, kb_relative_information_score: -0.6262, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0866, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6036, kappa: 0.2105, kb_relative_information_score: 2.3493, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6286, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -0.8348, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4929, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6354, root_relative_squared_error: 1.2966, 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: 0.7407, f_measure: 0.6603, kappa: 0.2857, kb_relative_information_score: 5.5073, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.66, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.0841, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6603, kappa: 0.2857, kb_relative_information_score: 3.0074, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.66, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.1072, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 1.2332, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5924, root_relative_squared_error: 1.2089, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4833, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903, scimark_benchmark: 921.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.3429, kappa: -0.3636, kb_relative_information_score: -4.5894, mean_absolute_error: 0.624, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.2938, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7802, root_relative_squared_error: 1.5921, scimark_benchmark: 823.2749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 888.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.5534, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0395, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.45, kb_relative_information_score: 2.3129, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9937, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.45, kb_relative_information_score: 1.7804, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0792, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3796, f_measure: 0.45, kb_relative_information_score: 0.2331, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0254, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3704, f_measure: 0.45, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0587, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4074, f_measure: 0.45, kb_relative_information_score: 0.1018, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0871, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3796, f_measure: 0.3729, kappa: -0.0976, kb_relative_information_score: -1.01, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.4455, predictive_accuracy: 0.4, prior_entropy: 0.9774, recall: 0.4, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0654, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.2568, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.394, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, f_measure: 0.45, kb_relative_information_score: 0.1187, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.493, root_relative_squared_error: 1.006, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, f_measure: 0.45, kb_relative_information_score: 0.1187, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.493, root_relative_squared_error: 1.006, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.5364, kappa: 0.0625, kb_relative_information_score: 1.0162, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.5692, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9929, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2685, f_measure: 0.45, kb_relative_information_score: -0.6262, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0866, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -0.3673, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1850.8887,

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