Task
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.707, kappa: 0.4112, kb_relative_information_score: 38.8343, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7157, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8873, kappa: 0.7728, kb_relative_information_score: 177.9283, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8908, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6485, kappa: 0.2951, kb_relative_information_score: 41.333, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6504, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9116, kappa: 0.8217, kb_relative_information_score: 169.6413, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9141, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6485, kappa: 0.2951, kb_relative_information_score: 46.1407, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6504, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6963, kappa: 0.3897, kb_relative_information_score: 79.4692, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.697, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8956, kappa: 0.7896, kb_relative_information_score: 196.8741, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8971, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.912, kappa: 0.8229, kb_relative_information_score: 177.678, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7082, kappa: 0.4134, kb_relative_information_score: 99.412, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7087, predictive_accuracy: 0.708, prior_entropy: 0.9955, recall: 0.708, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6146, kappa: 0.2231, kb_relative_information_score: 37.1361, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6145, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.7045, kappa: 0.405, kb_relative_information_score: 20.7315, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7093, predictive_accuracy: 0.708, prior_entropy: 0.9955, recall: 0.708, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.6638, kappa: 0.3228, kb_relative_information_score: 63.4399, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6636, predictive_accuracy: 0.664, prior_entropy: 0.9955, recall: 0.664, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6211, kappa: 0.2363, kb_relative_information_score: 58.6107, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6221, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.888, kappa: 0.7746, kb_relative_information_score: 166.5343, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8759, kappa: 0.7499, kb_relative_information_score: 114.6694, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6963, kappa: 0.3897, kb_relative_information_score: 64.4522, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.697, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8718, kappa: 0.7417, kb_relative_information_score: 161.2783, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.924, kappa: 0.8469, kb_relative_information_score: 190.1175, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9955, recall: 0.924, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6231, kappa: 0.2402, kb_relative_information_score: 44.9045, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6228, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.6199, kappa: 0.2346, kb_relative_information_score: 58.2436, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6198, predictive_accuracy: 0.62, prior_entropy: 0.9955, recall: 0.62, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8442, kappa: 0.6874, kb_relative_information_score: 149.3617, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7232, kappa: 0.4419, kb_relative_information_score: 110.7193, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7235, predictive_accuracy: 0.724, prior_entropy: 0.9955, recall: 0.724, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5867, kappa: 0.1669, kb_relative_information_score: 42.0972, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5864, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6436, kappa: 0.282, kb_relative_information_score: 38.6741, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6434, predictive_accuracy: 0.644, prior_entropy: 0.9955, recall: 0.644, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7443, kappa: 0.4867, kb_relative_information_score: 71.3257, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7455, predictive_accuracy: 0.744, prior_entropy: 0.9955, recall: 0.744, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8802, kappa: 0.76, kb_relative_information_score: 135.9739, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8832, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8561, kappa: 0.7109, kb_relative_information_score: 177.323, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9955, recall: 0.856, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6875, kappa: 0.3752, kb_relative_information_score: 96.5912, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7035, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1063, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5546, kappa: 0.1022, kb_relative_information_score: 25.9508, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5542, predictive_accuracy: 0.556, prior_entropy: 0.9955, recall: 0.556, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.337, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5546, kappa: 0.1022, kb_relative_information_score: 25.9508, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5542, predictive_accuracy: 0.556, prior_entropy: 0.9955, recall: 0.556, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.337, scimark_benchmark: 1334.8924, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1385.8388, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6875, kappa: 0.3752, kb_relative_information_score: 96.5912, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7035, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1063, scimark_benchmark: 1616.0708, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6018, kappa: 0.1972, kb_relative_information_score: 36.6613, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.602, predictive_accuracy: 0.604, prior_entropy: 0.9955, recall: 0.604, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0271, scimark_benchmark: 1908.2191, usercpu_time_millis: 718.75, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6753, kappa: 0.3457, kb_relative_information_score: 48.6057, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6752, predictive_accuracy: 0.676, prior_entropy: 0.9955, recall: 0.676, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9513, scimark_benchmark: 1908.2191, usercpu_time_millis: 656.25, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 68.3351, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2039, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.712, kappa: 0.4277, kb_relative_information_score: 57.8577, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7212, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8847, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9199, kappa: 0.8388, kb_relative_information_score: 185.9767, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9955, recall: 0.92, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5189, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6963, kappa: 0.3897, kb_relative_information_score: 64.4522, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.697, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9004, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8999, kappa: 0.7983, kb_relative_information_score: 199.5243, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9278, kappa: 0.8545, kb_relative_information_score: 213.6524, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9287, predictive_accuracy: 0.928, prior_entropy: 0.9955, recall: 0.928, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.888, kappa: 0.7746, kb_relative_information_score: 193.4694, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.5801, kappa: 0.1551, kb_relative_information_score: 38.0606, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5803, predictive_accuracy: 0.58, prior_entropy: 0.9955, recall: 0.58, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3003, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6325, kappa: 0.2659, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8637, kappa: 0.7252, kb_relative_information_score: 148.5843, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8643, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.706, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8316, kappa: 0.6605, kb_relative_information_score: 142.0586, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9955, recall: 0.832, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7409, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6231, kappa: 0.2402, kb_relative_information_score: 42.2704, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6228, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9785, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6485, kappa: 0.2951, kb_relative_information_score: 46.1407, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6504, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0517, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7997, kappa: 0.5964, kb_relative_information_score: 149.0669, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8679, kappa: 0.7338, kb_relative_information_score: 174.238, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9955, recall: 0.868, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6871, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8879, kappa: 0.7743, kb_relative_information_score: 175.5345, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5519, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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