Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 105492 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 47.3627, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.4771, kappa: 0.0013, kb_relative_information_score: -2190.7889, mean_absolute_error: 0.5407, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5861, predictive_accuracy: 0.4593, prior_entropy: 0.8733, recall: 0.4593, relative_absolute_error: 1.3037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7353, root_relative_squared_error: 1.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 19.589, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8295, kappa: 0.5825, kb_relative_information_score: 2655.7455, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8286, predictive_accuracy: 0.8327, prior_entropy: 0.8733, recall: 0.8327, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -112.9452, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.5616, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 74.7783, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 126.816, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8068, kappa: 0.5316, kb_relative_information_score: 2181.7447, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8059, predictive_accuracy: 0.8079, prior_entropy: 0.8733, recall: 0.8079, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7956, kappa: 0.5032, kb_relative_information_score: 2039.3645, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7943, predictive_accuracy: 0.7974, prior_entropy: 0.8733, recall: 0.7974, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.769, kappa: 0.4492, kb_relative_information_score: 1601.1662, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7721, predictive_accuracy: 0.7667, prior_entropy: 0.8733, recall: 0.7667, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 25.5472, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8256, kappa: 0.5743, kb_relative_information_score: 2198.5197, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8244, predictive_accuracy: 0.8279, prior_entropy: 0.8733, recall: 0.8279, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.813, kappa: 0.5407, kb_relative_information_score: 2013.4845, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.812, predictive_accuracy: 0.8174, prior_entropy: 0.8733, recall: 0.8174, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -23.1199, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -56.7205, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7986, kappa: 0.5099, kb_relative_information_score: 1767.9103, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7973, predictive_accuracy: 0.8007, prior_entropy: 0.8733, recall: 0.8007, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 10.5628, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -63.6181, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 11.6327, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -80.6461, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 36.7419, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -80.9175, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 53.3762, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -29.5221, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7556, kappa: 0.3899, kb_relative_information_score: 1352.6336, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7563, predictive_accuracy: 0.7692, prior_entropy: 0.8733, recall: 0.7692, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8018, kappa: 0.5159, kb_relative_information_score: 1949.9339, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8002, predictive_accuracy: 0.8046, prior_entropy: 0.8733, recall: 0.8046, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7825, kappa: 0.4686, kb_relative_information_score: 1669.0854, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7805, predictive_accuracy: 0.7857, prior_entropy: 0.8733, recall: 0.7857, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -73.4315, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3458, kappa: -0.0006, kb_relative_information_score: -3365.5232, mean_absolute_error: 0.6244, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5845, predictive_accuracy: 0.3756, prior_entropy: 0.8733, recall: 0.3756, relative_absolute_error: 1.5054, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7902, root_relative_squared_error: 1.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -768.2163, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.8335, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -26.0548, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8574, kappa: 0.6536, kb_relative_information_score: 2791.7492, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8567, predictive_accuracy: 0.8584, prior_entropy: 0.8733, recall: 0.8584, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 18.7075, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 40.7072, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 15.7104, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.6222, kappa: 0.1997, kb_relative_information_score: -256.7733, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6829, predictive_accuracy: 0.6046, prior_entropy: 0.8733, recall: 0.6046, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.608, root_relative_squared_error: 1.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 12.9857, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 67.0028, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7707, kappa: 0.4333, kb_relative_information_score: 1614.3407, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7689, predictive_accuracy: 0.7783, prior_entropy: 0.8733, recall: 0.7783, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -82.3117, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -14.4192, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7998, kappa: 0.5145, kb_relative_information_score: 2498.12, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7988, predictive_accuracy: 0.8011, prior_entropy: 0.8733, recall: 0.8011, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.832, kappa: 0.5863, kb_relative_information_score: 2140.1636, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8319, predictive_accuracy: 0.8364, prior_entropy: 0.8733, recall: 0.8364, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8091, kappa: 0.5356, kb_relative_information_score: 1881.2289, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8078, predictive_accuracy: 0.8109, prior_entropy: 0.8733, recall: 0.8109, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1524.0512, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7513, kappa: 0.3825, kb_relative_information_score: 1380.2466, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7495, predictive_accuracy: 0.762, prior_entropy: 0.8733, recall: 0.762, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -21.2752, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -86.7603, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -71.4845, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 1.7377, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8147, kappa: 0.5477, kb_relative_information_score: 2143.0478, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8134, predictive_accuracy: 0.8174, prior_entropy: 0.8733, recall: 0.8174, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 27.7144, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7877, kappa: 0.4784, kb_relative_information_score: 1638.9052, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7858, predictive_accuracy: 0.7926, prior_entropy: 0.8733, recall: 0.7926, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.837, kappa: 0.6014, kb_relative_information_score: 2426.9126, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8362, predictive_accuracy: 0.8397, prior_entropy: 0.8733, recall: 0.8397, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8194, kappa: 0.5611, kb_relative_information_score: 2158.0591, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8183, predictive_accuracy: 0.8209, prior_entropy: 0.8733, recall: 0.8209, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -173.3031, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -79.2707, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 104.3871, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4558, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.8175, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -107.2041, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, kb_relative_information_score: 680.6876, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 48.1582, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 11.0645, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7952, kappa: 0.4951, kb_relative_information_score: 1630.4071, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.794, predictive_accuracy: 0.8011, prior_entropy: 0.8733, recall: 0.8011, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -64.9288, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -37.2215, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.4099, kb_relative_information_score: 1393.3825, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.762, predictive_accuracy: 0.7735, prior_entropy: 0.8733, recall: 0.7735, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 37.8816, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, kb_relative_information_score: 667.2379, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.9126, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -27.6416, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8238, kappa: 0.5694, kb_relative_information_score: 2187.747, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8226, predictive_accuracy: 0.8264, prior_entropy: 0.8733, recall: 0.8264, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 51.6669, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -156.8397, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -203.7361, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7937, kappa: 0.4935, kb_relative_information_score: 1710.7521, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.792, predictive_accuracy: 0.7983, prior_entropy: 0.8733, recall: 0.7983, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 9.9122, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 290.924, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8104, kappa: 0.5364, kb_relative_information_score: 1978.2092, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.809, predictive_accuracy: 0.8135, prior_entropy: 0.8733, recall: 0.8135, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -39.2743, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 13.62, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7174, kappa: 0.2877, kb_relative_information_score: 894.6539, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7252, predictive_accuracy: 0.745, prior_entropy: 0.8733, recall: 0.745, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -707.8146, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0623, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.6165, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 5.8812, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 234.4076, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8466, kappa: 0.6272, kb_relative_information_score: 2610.8632, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8458, predictive_accuracy: 0.8479, prior_entropy: 0.8733, recall: 0.8479, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -551.8779, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -35.8471, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 7.9121, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7771, kappa: 0.4512, kb_relative_information_score: 1585.8095, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.775, predictive_accuracy: 0.7829, prior_entropy: 0.8733, recall: 0.7829, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 20.9449, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.822, kappa: 0.5643, kb_relative_information_score: 2301.0699, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8208, predictive_accuracy: 0.8251, prior_entropy: 0.8733, recall: 0.8251, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, kb_relative_information_score: 703.7356, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.5934, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,

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