OpenML
Supervised Classification on UMIST_Faces_Cropped

Supervised Classification on UMIST_Faces_Cropped

Task 168300 Supervised Classification UMIST_Faces_Cropped 53 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, kappa: 0.292, kb_relative_information_score: 184.7857, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.3322, prior_entropy: 4.282, recall: 0.3322, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.5926, kappa: 0.5912, kb_relative_information_score: 305.4616, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.7005, predictive_accuracy: 0.6139, prior_entropy: 4.282, recall: 0.6139, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, kappa: 0.4529, kb_relative_information_score: 252.9866, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.4852, prior_entropy: 4.282, recall: 0.4852, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.7303, kappa: 0.7315, kb_relative_information_score: 373.9986, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.7858, predictive_accuracy: 0.7461, prior_entropy: 4.282, recall: 0.7461, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.6999, kappa: 0.6858, kb_relative_information_score: 366.8665, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.7508, predictive_accuracy: 0.7026, prior_entropy: 4.282, recall: 0.7026, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, kappa: 0.4009, kb_relative_information_score: 279.6653, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.4313, prior_entropy: 4.282, recall: 0.4313, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.4335, kappa: 0.412, kb_relative_information_score: 288.7215, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.6404, predictive_accuracy: 0.4417, prior_entropy: 4.282, recall: 0.4417, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7056, kappa: 0.6945, kb_relative_information_score: 334.4371, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.7314, predictive_accuracy: 0.7113, prior_entropy: 4.282, recall: 0.7113, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.6832, kappa: 0.6799, kb_relative_information_score: 337.1009, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.7196, predictive_accuracy: 0.6974, prior_entropy: 4.282, recall: 0.6974, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, kappa: 0.3128, kb_relative_information_score: 190.4645, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.353, prior_entropy: 4.282, recall: 0.353, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 16.9391, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0452, prior_entropy: 4.282, recall: 0.0452, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.309, root_relative_squared_error: 1.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, kappa: 0.6151, kb_relative_information_score: 306.3951, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.6365, prior_entropy: 4.282, recall: 0.6365, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, kappa: 0.0237, kb_relative_information_score: 29.8602, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0643, prior_entropy: 4.282, recall: 0.0643, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.4966, kappa: 0.5059, kb_relative_information_score: 258.2543, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.6226, predictive_accuracy: 0.5357, prior_entropy: 4.282, recall: 0.5357, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: -0, kb_relative_information_score: 16.9391, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0452, prior_entropy: 4.282, recall: 0.0452, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.309, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, kappa: 0.1553, kb_relative_information_score: 126.9841, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.207, prior_entropy: 4.282, recall: 0.207, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, kappa: 0.0696, kb_relative_information_score: 84.8328, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.1304, prior_entropy: 4.282, recall: 0.1304, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2202, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, kappa: -0.0002, kb_relative_information_score: 16.5694, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0765, prior_entropy: 4.282, recall: 0.0765, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, kappa: 0.0085, kb_relative_information_score: 26.4219, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0661, prior_entropy: 4.282, recall: 0.0661, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, kappa: 0.0224, kb_relative_information_score: 34.5932, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0817, prior_entropy: 4.282, recall: 0.0817, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.303, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: 0.0043, kb_relative_information_score: 24.3647, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0626, prior_entropy: 4.282, recall: 0.0626, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0112, kb_relative_information_score: 28.4048, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0696, prior_entropy: 4.282, recall: 0.0696, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.305, root_relative_squared_error: 1.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kappa: 0.0103, kb_relative_information_score: 28.7673, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0713, prior_entropy: 4.282, recall: 0.0713, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kappa: 0.0067, kb_relative_information_score: 24.9082, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0626, prior_entropy: 4.282, recall: 0.0626, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, kappa: 0.0037, kb_relative_information_score: 25.1781, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0643, prior_entropy: 4.282, recall: 0.0643, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2391, root_relative_squared_error: 1.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, kappa: -0.0006, kb_relative_information_score: 17.979, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0626, prior_entropy: 4.282, recall: 0.0626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2304, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, kappa: 0.0146, kb_relative_information_score: 27.3479, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0643, prior_entropy: 4.282, recall: 0.0643, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kappa: -0.0038, kb_relative_information_score: 14.7064, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0417, prior_entropy: 4.282, recall: 0.0417, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kappa: 0.0076, kb_relative_information_score: 24.307, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0609, prior_entropy: 4.282, recall: 0.0609, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: 0.0243, kb_relative_information_score: 30.138, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0696, prior_entropy: 4.282, recall: 0.0696, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0127, kb_relative_information_score: 27.5489, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0643, prior_entropy: 4.282, recall: 0.0643, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, kappa: 0.0204, kb_relative_information_score: 29.7136, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0696, prior_entropy: 4.282, recall: 0.0696, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3029, root_relative_squared_error: 1.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.5735, kappa: 0.5553, kb_relative_information_score: 317.5569, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.6532, predictive_accuracy: 0.5791, prior_entropy: 4.282, recall: 0.5791, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, kappa: 0.2258, kb_relative_information_score: 175.5581, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.2696, prior_entropy: 4.282, recall: 0.2696, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.4247, kappa: 0.4111, kb_relative_information_score: 245.5161, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.5036, predictive_accuracy: 0.4452, prior_entropy: 4.282, recall: 0.4452, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.6388, kappa: 0.6267, kb_relative_information_score: 330.4515, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.6649, predictive_accuracy: 0.647, prior_entropy: 4.282, recall: 0.647, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, kappa: -0.0037, kb_relative_information_score: 10.922, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0678, prior_entropy: 4.282, recall: 0.0678, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, kappa: 0.0014, kb_relative_information_score: 16.5043, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0713, prior_entropy: 4.282, recall: 0.0713, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2184, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, kappa: -0.0002, kb_relative_information_score: 18.7266, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0696, prior_entropy: 4.282, recall: 0.0696, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2223, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, kappa: 0.002, kb_relative_information_score: 25.8756, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0661, prior_entropy: 4.282, recall: 0.0661, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, kappa: -0.0012, kb_relative_information_score: 7.5371, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.08, prior_entropy: 4.282, recall: 0.08, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, kappa: -0.0013, kb_relative_information_score: 22.4955, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.08, prior_entropy: 4.282, recall: 0.08, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2184, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, kappa: 0.0002, kb_relative_information_score: 20.5191, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0678, prior_entropy: 4.282, recall: 0.0678, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2185, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, kappa: 0.0024, kb_relative_information_score: 16.3834, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0765, prior_entropy: 4.282, recall: 0.0765, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2181, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.0005, kb_relative_information_score: 10.6829, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0748, prior_entropy: 4.282, recall: 0.0748, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.5312, kappa: 0.5045, kb_relative_information_score: 328.7054, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.5839, predictive_accuracy: 0.5304, prior_entropy: 4.282, recall: 0.5304, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, kappa: 0.0484, kb_relative_information_score: 55.2948, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.1043, prior_entropy: 4.282, recall: 0.1043, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2834, root_relative_squared_error: 1.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, kappa: 0.0057, kb_relative_information_score: 31.9317, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0609, prior_entropy: 4.282, recall: 0.0609, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2884, root_relative_squared_error: 1.3252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, kappa: 0.0556, kb_relative_information_score: 62.8415, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.1061, prior_entropy: 4.282, recall: 0.1061, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, kappa: 0.0057, kb_relative_information_score: 27.7299, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0947, number_of_instances: 575, predictive_accuracy: 0.0643, prior_entropy: 4.282, recall: 0.0643, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.2894, kappa: 0.2946, kb_relative_information_score: 209.2752, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.4058, predictive_accuracy: 0.3322, prior_entropy: 4.282, recall: 0.3322, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2368, root_relative_squared_error: 1.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.5297, kappa: 0.3969, kb_relative_information_score: 214.9402, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.911, predictive_accuracy: 0.44, prior_entropy: 4.282, recall: 0.44, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.1797, kappa: 0.1106, kb_relative_information_score: 59.0322, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.0947, number_of_instances: 575, precision: 0.8774, predictive_accuracy: 0.1809, prior_entropy: 4.282, recall: 0.1809, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.207, root_relative_squared_error: 0.9513,

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