OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 809.4604, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1850.4852, usercpu_time_millis: 33.075, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 32.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 902.8439, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8674, scimark_benchmark: 1726.802, usercpu_time_millis: 21.569, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 20.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6613, kappa: 0.3256, kb_relative_information_score: 315.6094, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6834, predictive_accuracy: 0.674, prior_entropy: 0.9948, recall: 0.674, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1755.1789, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 11.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.6775, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1751.8493, usercpu_time_millis: 5.781, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 5.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1619, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1947.5665, usercpu_time_millis: 8.83, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 7.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1281, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.8101, usercpu_time_millis: 6.73, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.6013, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1788.684, usercpu_time_millis: 5.487, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 4.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7944, kappa: 0.5853, kb_relative_information_score: 1510.3086, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1768.2707, usercpu_time_millis: 2669.845, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 2668.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 1049.057, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8375, scimark_benchmark: 1723.6152, usercpu_time_millis: 479.844, usercpu_time_millis_testing: 2.052, usercpu_time_millis_training: 477.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7514, kappa: 0.4983, kb_relative_information_score: 835.1872, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8656, scimark_benchmark: 1731.7648, usercpu_time_millis: 114.46, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 113.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7909, kappa: 0.5782, kb_relative_information_score: 1468.8762, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1694.5315, usercpu_time_millis: 1914.855, usercpu_time_millis_testing: 2.714, usercpu_time_millis_training: 1912.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7881, kappa: 0.5726, kb_relative_information_score: 1487.3678, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7859, scimark_benchmark: 1723.4934, usercpu_time_millis: 53.814, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 53.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.797, kappa: 0.5905, kb_relative_information_score: 1550.1051, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1731.3956, usercpu_time_millis: 522.021, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 520.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7466, kappa: 0.4894, kb_relative_information_score: 1216.5232, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.831, scimark_benchmark: 1714.7036, usercpu_time_millis: 1299.11, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 1297.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.77, kappa: 0.536, kb_relative_information_score: 1110.2726, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7705, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8226, scimark_benchmark: 1731.8603, usercpu_time_millis: 306.379, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 304.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7873, kappa: 0.571, kb_relative_information_score: 1288.5627, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1834.2992, usercpu_time_millis: 427.984, usercpu_time_millis_testing: 4.234, usercpu_time_millis_training: 423.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7862, kappa: 0.5685, kb_relative_information_score: 1354.1221, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1937.1156, usercpu_time_millis: 356.671, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 355.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1302.3271, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7981, scimark_benchmark: 1744.7516, usercpu_time_millis: 90.065, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 88.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7182, kappa: 0.4325, kb_relative_information_score: 400.4719, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7225, prior_entropy: 0.9948, recall: 0.7225, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9291, scimark_benchmark: 1764.9243, usercpu_time_millis: 31.76, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 30.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 793.0725, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1716.99, usercpu_time_millis: 29.381, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 28.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1172, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1944.8569, usercpu_time_millis: 7.828, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 6.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7806, kappa: 0.5576, kb_relative_information_score: 1368.509, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1795.6915, usercpu_time_millis: 1052.691, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 1050.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7778, kappa: 0.5516, kb_relative_information_score: 1249.6773, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8087, scimark_benchmark: 1682.5078, usercpu_time_millis: 866.387, usercpu_time_millis_testing: 2.266, usercpu_time_millis_training: 864.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8065, kappa: 0.61, kb_relative_information_score: 1728.8607, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.754, scimark_benchmark: 1736.6871, usercpu_time_millis: 437.762, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 436.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7648, kappa: 0.5253, kb_relative_information_score: 1057.1956, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7655, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8304, scimark_benchmark: 1806.3111, usercpu_time_millis: 386.009, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 383.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 906.7938, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723, scimark_benchmark: 1726.8282, usercpu_time_millis: 60.203, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 59.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0879, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1792.2009, usercpu_time_millis: 7.592, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 6.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7383, kappa: 0.472, kb_relative_information_score: 915.7196, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.858, scimark_benchmark: 1756.083, usercpu_time_millis: 5.428, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 4.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7802, kappa: 0.5565, kb_relative_information_score: 1459.8648, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7807, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895, scimark_benchmark: 1721.9342, usercpu_time_millis: 9512.072, usercpu_time_millis_testing: 3.154, usercpu_time_millis_training: 9508.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1566.3709, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1727.5559, usercpu_time_millis: 8587.04, usercpu_time_millis_testing: 4.943, usercpu_time_millis_training: 8582.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.803, kappa: 0.6025, kb_relative_information_score: 1646.8509, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8035, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1732.4995, usercpu_time_millis: 7649.146, usercpu_time_millis_testing: 3.813, usercpu_time_millis_training: 7645.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7982, kappa: 0.5929, kb_relative_information_score: 1576.8034, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7671, scimark_benchmark: 1723.2019, usercpu_time_millis: 7052.042, usercpu_time_millis_testing: 3.245, usercpu_time_millis_training: 7048.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7585, kappa: 0.5128, kb_relative_information_score: 1338.768, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8134, scimark_benchmark: 1743.4621, usercpu_time_millis: 5087.603, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 5085.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7189, kappa: 0.4328, kb_relative_information_score: 632.7183, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1719.131, usercpu_time_millis: 11.482, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 10.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7946, kappa: 0.5859, kb_relative_information_score: 1414.9881, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1745.6448, usercpu_time_millis: 4201.229, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 4196.067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1380.8878, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7736, scimark_benchmark: 1777.541, usercpu_time_millis: 80.174, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 77.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7137, kappa: 0.4222, kb_relative_information_score: 596.8298, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7141, predictive_accuracy: 0.7147, prior_entropy: 0.9948, recall: 0.7147, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8982, scimark_benchmark: 1732.349, usercpu_time_millis: 24.808, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 23.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7088, kappa: 0.4126, kb_relative_information_score: 558.2434, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9024, scimark_benchmark: 1758.8368, usercpu_time_millis: 17.334, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 16.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7052, kappa: 0.4054, kb_relative_information_score: 553.4008, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7078, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9043, scimark_benchmark: 1753.0912, usercpu_time_millis: 11.802, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 10.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0744, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1720.2271, usercpu_time_millis: 6.6, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 5.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -1.2179, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.6494, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.134, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.0961, usercpu_time_millis: 7.637, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 6.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7688, kappa: 0.5337, kb_relative_information_score: 1264.239, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7691, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1717.4364, usercpu_time_millis: 246.072, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 244.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1641.6303, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1718.2809, usercpu_time_millis: 10205.333, usercpu_time_millis_testing: 6.092, usercpu_time_millis_training: 10199.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1667.4582, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7542, scimark_benchmark: 1710.7007, usercpu_time_millis: 6322.947, usercpu_time_millis_testing: 2.374, usercpu_time_millis_training: 6320.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1581.3188, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7643, scimark_benchmark: 1748.2462, usercpu_time_millis: 4760.637, usercpu_time_millis_testing: 3.066, usercpu_time_millis_training: 4757.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 1660.0236, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1724.4096, usercpu_time_millis: 4547.192, usercpu_time_millis_testing: 3.739, usercpu_time_millis_training: 4543.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1524.2086, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1726.4869, usercpu_time_millis: 2159.177, usercpu_time_millis_testing: 4.661, usercpu_time_millis_training: 2154.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7801, kappa: 0.5565, kb_relative_information_score: 1387.1847, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1735.6213, usercpu_time_millis: 2085.559, usercpu_time_millis_testing: 2.794, usercpu_time_millis_training: 2082.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7502, kappa: 0.4963, kb_relative_information_score: 1216.593, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8382, scimark_benchmark: 1750.067, usercpu_time_millis: 1795.062, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 1793.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1640.777, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1724.2481, usercpu_time_millis: 1067.465, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 1065.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7463, kappa: 0.4888, kb_relative_information_score: 1194.7739, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8362, scimark_benchmark: 1751.3925, usercpu_time_millis: 762.37, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 760.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8078, kappa: 0.6125, kb_relative_information_score: 1688.6152, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7506, scimark_benchmark: 1732.8642, usercpu_time_millis: 662.581, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 660.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7822, kappa: 0.5607, kb_relative_information_score: 1406.7514, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1726.6996, usercpu_time_millis: 576.159, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 574.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 938.7035, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1723.7952, usercpu_time_millis: 293.663, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 291.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7825, kappa: 0.5613, kb_relative_information_score: 1335.671, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 1738.3274, usercpu_time_millis: 257.113, usercpu_time_millis_testing: 1.932, usercpu_time_millis_training: 255.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.801, kappa: 0.599, kb_relative_information_score: 1554.11, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7701, scimark_benchmark: 1726.2301, usercpu_time_millis: 53.911, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 53.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1642.4567, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1825.3439, usercpu_time_millis: 9838.663, usercpu_time_millis_testing: 5.071, usercpu_time_millis_training: 9833.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1572.4159, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1821.0512, usercpu_time_millis: 6381.238, usercpu_time_millis_testing: 4.303, usercpu_time_millis_training: 6376.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7977, kappa: 0.5922, kb_relative_information_score: 1775.3004, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649, scimark_benchmark: 776.169, usercpu_time_millis: 15929.053, usercpu_time_millis_testing: 6.848, usercpu_time_millis_training: 15922.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7808, kappa: 0.5579, kb_relative_information_score: 1420.8775, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 1770.8791, usercpu_time_millis: 4619.425, usercpu_time_millis_testing: 2.962, usercpu_time_millis_training: 4616.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7923, kappa: 0.5809, kb_relative_information_score: 1476.0195, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1772.6945, usercpu_time_millis: 4460.515, usercpu_time_millis_testing: 4.153, usercpu_time_millis_training: 4456.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1493.6231, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1749.3671, usercpu_time_millis: 3981.448, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 3978.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1499.051, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1762.2687, usercpu_time_millis: 2737.448, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 2733.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.777, kappa: 0.5499, kb_relative_information_score: 1343.5893, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1648.0617, usercpu_time_millis: 2690.632, usercpu_time_millis_testing: 2.53, usercpu_time_millis_training: 2688.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8043, kappa: 0.6052, kb_relative_information_score: 1571.0858, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8048, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 1819.0423, usercpu_time_millis: 2165.153, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 2161.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8112, kappa: 0.6194, kb_relative_information_score: 1704.9114, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.746, scimark_benchmark: 1810.7195, usercpu_time_millis: 2117.493, usercpu_time_millis_testing: 4.566, usercpu_time_millis_training: 2112.927,

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