Task
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: 0.7037, build_cpu_time: 0.0067, build_memory: 379525300.8, f_measure: 0.45, kb_relative_information_score: 1.2393, mean_absolute_error: 0.4444, 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: 0.9214, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0092, scimark_benchmark: 942.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.8693, mean_absolute_error: 0.4479, 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: 0.9285, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1366, scimark_benchmark: 1264.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 2.8235, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.954, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 3.2805, mean_absolute_error: 0.375, 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: 0.7774, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9442, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 1346.4374,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.8693, mean_absolute_error: 0.4479, 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: 0.9285, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1366, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 1.1691, mean_absolute_error: 0.4458, 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: 0.9243, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0239, scimark_benchmark: 1313.8988,
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: 1340.9446,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 2.8235, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.954, scimark_benchmark: 1310.3168,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 3.2805, mean_absolute_error: 0.375, 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: 0.7774, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9442, scimark_benchmark: 1324.7884,
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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: 0.3889, 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: 0.4074, 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: 0.5926, 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: 0.2315, 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: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 905.2959,
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: 0.2315, 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: 0.5556, 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: 0.5, 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: 0.463, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 0.8693, mean_absolute_error: 0.4479, 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: 0.9285, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1366, scimark_benchmark: 943.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 2.8235, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.954, scimark_benchmark: 972.587,
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: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4815, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: 0.5051, mean_absolute_error: 0.4513, 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: 0.9356, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.1952, scimark_benchmark: 851.2074,
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: 0.6574, 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: 0.3796, 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: 0.5463, 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: 0.3704, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3796, 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: 0.5926, 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: 0.5185, 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: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 932.438,
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: 906.0979,
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: 0.6204, 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: 0.4722, 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: 0.5926, 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: 0.2315, 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: 0.2778, 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: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 944.0133,
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: 935.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: 0.2647, mean_absolute_error: 0.4728, 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: 0.9801, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0237, scimark_benchmark: 919.9068, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, 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, scimark_benchmark: 936.3213,
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: 942.3809, 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: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.6697, kappa: 0.3243, kb_relative_information_score: 4.155, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.6786, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5589, root_relative_squared_error: 1.1405, scimark_benchmark: 935.6052,
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: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.5364, kappa: 0.0625, kb_relative_information_score: 0.4005, mean_absolute_error: 0.4687, 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: 0.9716, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0184, scimark_benchmark: 945.2015, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: -0.1584, mean_absolute_error: 0.4856, 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: 1.0067, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0463, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6036, kappa: 0.2105, kb_relative_information_score: 2.4804, mean_absolute_error: 0.3944, 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: 0.8176, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2462, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3981, f_measure: 0.4714, kappa: -0.0526, kb_relative_information_score: -1.8841, mean_absolute_error: 0.5354, 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: 1.11, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4863, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5376, kappa: 0.0541, kb_relative_information_score: 1.1837, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.5464, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6133, root_relative_squared_error: 1.2515, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.4889, kappa: -0.0606, kb_relative_information_score: -0.8566, mean_absolute_error: 0.5074, 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: 1.052, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.0906, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.58, kappa: 0.1176, kb_relative_information_score: 0.5404, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.5818, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0054, scimark_benchmark: 935.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 3.2805, mean_absolute_error: 0.375, 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: 0.7774, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9442, scimark_benchmark: 938.1282,
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: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 3.685, mean_absolute_error: 0.3721, 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: 0.7714, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9487, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 2.8235, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.954, scimark_benchmark: 935.2002,

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