Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 158394 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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158394 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -19.092, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 3.5149, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -23.3185, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -16.6804, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -21.4247, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3415, kb_relative_information_score: -17.304, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0808, f_measure: 0.0959, kappa: -0.7834, kb_relative_information_score: -667.5716, mean_absolute_error: 0.5805, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0921, predictive_accuracy: 0.1017, prior_entropy: 0.9986, recall: 0.1017, relative_absolute_error: 1.1633, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -25.6865, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -30.8001, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.961, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -18.7714, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -18.6412, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -22.8862, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -18.1709, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -6.1512, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -17.3698, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2215, kb_relative_information_score: -36.9792, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.0967, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -22.0916, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0189, kb_relative_information_score: -154.802, mean_absolute_error: 0.5166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0353, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -19.9804, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -20.3093, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -25.4433, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0159, f_measure: 0.0603, kappa: -0.8671, kb_relative_information_score: -976.5607, mean_absolute_error: 0.619, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.059, predictive_accuracy: 0.0623, prior_entropy: 0.9986, recall: 0.0623, relative_absolute_error: 1.2404, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -18.7211, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -20.3285, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.502, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -18.6206, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -17.6546, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.076, f_measure: 0.1228, kappa: -0.7399, kb_relative_information_score: -1575.6415, mean_absolute_error: 0.7168, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.1218, predictive_accuracy: 0.1255, prior_entropy: 0.9986, recall: 0.1255, relative_absolute_error: 1.4364, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.739, root_relative_squared_error: 1.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3191, f_measure: 0.3079, kappa: -0.3503, kb_relative_information_score: -147.3663, mean_absolute_error: 0.5155, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3109, predictive_accuracy: 0.3176, prior_entropy: 0.9986, recall: 0.3176, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -20.2855, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -18.7208, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2637, f_measure: 0.3065, kappa: -0.3697, kb_relative_information_score: -466.2387, mean_absolute_error: 0.5579, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3088, predictive_accuracy: 0.3104, prior_entropy: 0.9986, recall: 0.3104, relative_absolute_error: 1.118, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.7466, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, kb_relative_information_score: -23.5949, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4634, kb_relative_information_score: -17.9401, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -14.8206, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1108, f_measure: 0.1758, kappa: -0.6516, kb_relative_information_score: -1402.7275, mean_absolute_error: 0.6975, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.1758, predictive_accuracy: 0.1758, prior_entropy: 0.9986, recall: 0.1758, relative_absolute_error: 1.3977, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7276, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0731, f_measure: 0.1444, kappa: -0.7053, kb_relative_information_score: -1343.5776, mean_absolute_error: 0.6834, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.1448, predictive_accuracy: 0.1449, prior_entropy: 0.9986, recall: 0.1449, relative_absolute_error: 1.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7034, root_relative_squared_error: 1.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0371, kb_relative_information_score: -70.1145, mean_absolute_error: 0.5069, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1678, f_measure: 0.319, kappa: -0.0859, kb_relative_information_score: -146.5749, mean_absolute_error: 0.5158, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3437, predictive_accuracy: 0.4368, prior_entropy: 0.9986, recall: 0.4368, relative_absolute_error: 1.0337, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -15.6409, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -5.5701, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0891, f_measure: 0.1616, kappa: -0.6745, kb_relative_information_score: -1487.0921, mean_absolute_error: 0.71, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.1623, predictive_accuracy: 0.1615, prior_entropy: 0.9986, recall: 0.1615, relative_absolute_error: 1.4229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -14.5194, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4002, kb_relative_information_score: -18.8713, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -14.3393, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -14.4992, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -19.7579, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -17.7226, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -17.8389, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.061, kb_relative_information_score: -43.1059, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1987, f_measure: 0.296, kappa: -0.3826, kb_relative_information_score: -315.3186, mean_absolute_error: 0.5359, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2982, predictive_accuracy: 0.3026, prior_entropy: 0.9986, recall: 0.3026, relative_absolute_error: 1.074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -19.6731, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0537, kb_relative_information_score: -36.5682, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -15.1796, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.3247, kappa: -0.0624, kb_relative_information_score: -27.9137, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3675, predictive_accuracy: 0.4484, prior_entropy: 0.9986, recall: 0.4484, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -27.8919, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.313, f_measure: 0.3477, kappa: -0.211, kb_relative_information_score: -189.3102, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3611, predictive_accuracy: 0.382, prior_entropy: 0.9986, recall: 0.382, relative_absolute_error: 1.045, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -24.5397, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3659, kb_relative_information_score: -20.1653, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -18.9788, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1749, f_measure: 0.2466, kappa: -0.5064, kb_relative_information_score: -489.44, mean_absolute_error: 0.5586, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2473, predictive_accuracy: 0.2462, prior_entropy: 0.9986, recall: 0.2462, relative_absolute_error: 1.1194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5663, root_relative_squared_error: 1.1337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0063, f_measure: 0.0409, kappa: -0.916, kb_relative_information_score: -2745.6053, mean_absolute_error: 0.9182, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0413, predictive_accuracy: 0.0407, prior_entropy: 0.9986, recall: 0.0407, relative_absolute_error: 1.8399, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.9317, root_relative_squared_error: 1.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.01, f_measure: 0.0563, kappa: -0.8753, kb_relative_information_score: -955.5096, mean_absolute_error: 0.615, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.055, predictive_accuracy: 0.0582, prior_entropy: 0.9986, recall: 0.0582, relative_absolute_error: 1.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6172, root_relative_squared_error: 1.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -16.4178, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -14.1287, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -16.2519, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4188, f_measure: 0.4338, kappa: -0.102, kb_relative_information_score: -106.5986, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4452, predictive_accuracy: 0.4427, prior_entropy: 0.9986, recall: 0.4427, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2968, f_measure: 0.3463, kappa: -0.2062, kb_relative_information_score: -137.23, mean_absolute_error: 0.5147, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.3604, predictive_accuracy: 0.3839, prior_entropy: 0.9986, recall: 0.3839, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1993, kb_relative_information_score: -27.7209, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -6.8834, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2721, kb_relative_information_score: -30.1875, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0059, f_measure: 0.032, kappa: -0.9326, kb_relative_information_score: -2632.9152, mean_absolute_error: 0.893, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0321, predictive_accuracy: 0.0319, prior_entropy: 0.9986, recall: 0.0319, relative_absolute_error: 1.7895, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.904, root_relative_squared_error: 1.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0151, f_measure: 0.079, kappa: -0.821, kb_relative_information_score: -1014.9404, mean_absolute_error: 0.6245, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0758, predictive_accuracy: 0.0835, prior_entropy: 0.9986, recall: 0.0835, relative_absolute_error: 1.2514, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.015, f_measure: 0.0591, kappa: -0.878, kb_relative_information_score: -2083.1372, mean_absolute_error: 0.7963, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0593, predictive_accuracy: 0.0591, prior_entropy: 0.9986, recall: 0.0591, relative_absolute_error: 1.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.8101, root_relative_squared_error: 1.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -16.7964, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.2775, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, kb_relative_information_score: -11.8709, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -19.7747, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -17.6927, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -19.9479, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2899, kb_relative_information_score: -26.0526, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2309, f_measure: 0.2899, kappa: -0.3433, kb_relative_information_score: -263.0584, mean_absolute_error: 0.5295, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.291, predictive_accuracy: 0.3166, prior_entropy: 0.9986, recall: 0.3166, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -17.8557, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1408, f_measure: 0.2373, kappa: -0.5055, kb_relative_information_score: -1260.2492, mean_absolute_error: 0.6812, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2378, predictive_accuracy: 0.2419, prior_entropy: 0.9986, recall: 0.2419, relative_absolute_error: 1.365, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7208, root_relative_squared_error: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -21.2779, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3357, kb_relative_information_score: 0.3542, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.8827, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1365, f_measure: 0.3041, kappa: -0.0219, kb_relative_information_score: -90.3437, mean_absolute_error: 0.5092, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2255, predictive_accuracy: 0.4668, prior_entropy: 0.9986, recall: 0.4668, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: -16.4008, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.281, f_measure: 0.3426, kappa: -0.3165, kb_relative_information_score: -185.8466, mean_absolute_error: 0.5204, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.343, predictive_accuracy: 0.3423, prior_entropy: 0.9986, recall: 0.3423, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -13.4644, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -20.9718, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0182, f_measure: 0.0839, kappa: -0.807, kb_relative_information_score: -695.2746, mean_absolute_error: 0.5812, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.0798, predictive_accuracy: 0.0898, prior_entropy: 0.9986, recall: 0.0898, relative_absolute_error: 1.1647, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1066, f_measure: 0.1422, kappa: -0.7071, kb_relative_information_score: -1445.1061, mean_absolute_error: 0.6986, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.1423, predictive_accuracy: 0.1433, prior_entropy: 0.9986, recall: 0.1433, relative_absolute_error: 1.4001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7246, root_relative_squared_error: 1.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1904, kb_relative_information_score: -32.1114, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -15.3911, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2257, kb_relative_information_score: -15.9482, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -15.02, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0026,

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)

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