Task
Supervised Classification on aids

Supervised Classification on aids

Task 3503 Supervised Classification aids 498 runs submitted
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  • study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6198, kappa: 0.24, kb_relative_information_score: 8.8567, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 6.1256, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 8.6653, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6847, kappa: 0.4, kb_relative_information_score: 12.9813, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.748, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.6263, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4424, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: 0.4399, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4598, kappa: -0.08, kb_relative_information_score: 0.0795, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4599, predictive_accuracy: 0.46, prior_entropy: 1, recall: 0.46, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.618, kappa: 0.28, kb_relative_information_score: 5.0777, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6819, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 12.6245, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.5507, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3744, f_measure: 0.3633, kappa: -0.2, kb_relative_information_score: -9.1412, mean_absolute_error: 0.5919, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3701, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7176, root_relative_squared_error: 1.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.5507, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4128, f_measure: 0.4792, kappa: 0.04, kb_relative_information_score: -1.5753, mean_absolute_error: 0.5187, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5291, predictive_accuracy: 0.52, prior_entropy: 1, recall: 0.52, relative_absolute_error: 1.0375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3208, f_measure: 0.4253, kappa: -0.12, kb_relative_information_score: -7.5558, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4332, predictive_accuracy: 0.44, prior_entropy: 1, recall: 0.44, relative_absolute_error: 1.136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6187, root_relative_squared_error: 1.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.4861, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7126, kappa: 0.44, kb_relative_information_score: 6.1752, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7451, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.5226, kappa: 0.12, kb_relative_information_score: -0.4044, mean_absolute_error: 0.5079, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5874, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 8.2506, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 8.2506, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5925, kappa: 0.24, kb_relative_information_score: 8.7863, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6645, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4608, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.1781, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4376, f_measure: 0.4792, kappa: -0.04, kb_relative_information_score: -2.2567, mean_absolute_error: 0.519, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4799, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.22, f_measure: 0.2172, kappa: -0.56, kb_relative_information_score: -28, mean_absolute_error: 0.78, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2159, predictive_accuracy: 0.22, prior_entropy: 1, recall: 0.22, relative_absolute_error: 1.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8832, root_relative_squared_error: 1.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4472, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.1939, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.3559, kappa: -0.28, kb_relative_information_score: -4.0183, mean_absolute_error: 0.5325, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3563, predictive_accuracy: 0.36, prior_entropy: 1, recall: 0.36, relative_absolute_error: 1.065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5773, root_relative_squared_error: 1.1546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 8.8458, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5925, kappa: 0.24, kb_relative_information_score: 8.7863, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6645, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.694, kappa: 0.4, kb_relative_information_score: 14.7801, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.717, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.694, kappa: 0.4, kb_relative_information_score: 20, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.717, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.694, kappa: 0.4, kb_relative_information_score: 14.7801, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.717, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.694, kappa: 0.4, kb_relative_information_score: 20, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.717, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.444, f_measure: 0.44, kappa: -0.12, kb_relative_information_score: -0.1133, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.44, predictive_accuracy: 0.44, prior_entropy: 1, recall: 0.44, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6162, kappa: 0.24, kb_relative_information_score: 7.2092, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.625, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 14, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2,
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: 0.4472, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.1939, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079, scimark_benchmark: 1422.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.26, f_measure: 0.2597, kappa: -0.48, kb_relative_information_score: -24, mean_absolute_error: 0.74, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2596, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8602, root_relative_squared_error: 1.7205, scimark_benchmark: 1282.9296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.5536, kappa: 0.12, kb_relative_information_score: 6, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5637, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3267, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4949, kb_relative_information_score: 0.4036, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.1298, 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: 0.6112, f_measure: 0.5994, kappa: 0.2, kb_relative_information_score: 7.1917, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6006, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.091, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.08, kappa: -0.84, kb_relative_information_score: -40.6968, mean_absolute_error: 0.9021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.08, predictive_accuracy: 0.08, prior_entropy: 1, recall: 0.08, relative_absolute_error: 1.8043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9388, root_relative_squared_error: 1.8776, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8182, kappa: 0.64, kb_relative_information_score: 26.6051, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8333, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8013, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5824, kappa: 0.24, kb_relative_information_score: 8.9286, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6875, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 15.5036, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6603, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1419, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.08, kappa: -0.84, kb_relative_information_score: -40.6968, mean_absolute_error: 0.9021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.08, predictive_accuracy: 0.08, prior_entropy: 1, recall: 0.08, relative_absolute_error: 1.8043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9388, root_relative_squared_error: 1.8776, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 13.5507, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4472, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.1939, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, f_measure: 0.4391, kappa: -0.12, kb_relative_information_score: -6, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4396, predictive_accuracy: 0.44, prior_entropy: 1, recall: 0.44, relative_absolute_error: 1.12, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.4967, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, f_measure: 0.4391, kappa: -0.12, kb_relative_information_score: -6, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4396, predictive_accuracy: 0.44, prior_entropy: 1, recall: 0.44, relative_absolute_error: 1.12, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.4967, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 972.587,

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