OpenML
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 5 Supervised Classification arrhythmia 3348 runs submitted
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  • basic study_1 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kappa: 0.5714, kb_relative_information_score: -39.774, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 1.3473, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, kappa: 0.456, kb_relative_information_score: 167.8571, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6836, prior_entropy: 2.5222, recall: 0.6836, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, kappa: 0.5291, kb_relative_information_score: 231.2687, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, kappa: 0.539, kb_relative_information_score: 210.5542, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, kappa: 0.6135, kb_relative_information_score: 225.9409, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7588, prior_entropy: 2.5222, recall: 0.7588, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, kappa: 0.5583, kb_relative_information_score: 243.9832, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7168, prior_entropy: 2.5222, recall: 0.7168, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, kappa: 0.5949, kb_relative_information_score: 227.0956, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, kappa: 0.5405, kb_relative_information_score: 209.1547, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, kappa: 0.1406, kb_relative_information_score: 58.8396, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.5708, prior_entropy: 2.5222, recall: 0.5708, relative_absolute_error: 1.0874, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.213, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, kappa: 0.6157, kb_relative_information_score: 216.5732, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7611, prior_entropy: 2.5222, recall: 0.7611, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, kappa: 0.5986, kb_relative_information_score: 211.822, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.75, prior_entropy: 2.5222, recall: 0.75, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, kappa: 0.1605, kb_relative_information_score: 125.7663, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.5841, prior_entropy: 2.5222, recall: 0.5841, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, kappa: 0.5284, kb_relative_information_score: 190.4278, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.7956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, kappa: 0.4589, kb_relative_information_score: 173.2617, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, kappa: 0.6293, kb_relative_information_score: 227.279, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7655, prior_entropy: 2.5222, recall: 0.7655, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, kappa: 0.5953, kb_relative_information_score: 208.1699, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7522, prior_entropy: 2.5222, recall: 0.7522, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, kappa: 0.5302, kb_relative_information_score: 223.2029, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6991, prior_entropy: 2.5222, recall: 0.6991, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.527, kb_relative_information_score: -39.3158, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 1.346, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.1663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, kappa: 0.5422, kb_relative_information_score: 188.8342, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7235, prior_entropy: 2.5222, recall: 0.7235, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, kappa: 0.5773, kb_relative_information_score: 247.4181, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7279, prior_entropy: 2.5222, recall: 0.7279, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, kappa: 0.6315, kb_relative_information_score: 230.4625, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7677, prior_entropy: 2.5222, recall: 0.7677, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, kappa: 0.5204, kb_relative_information_score: 199.0661, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, kappa: 0.4039, kb_relative_information_score: -40.3398, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6681, prior_entropy: 2.5222, recall: 0.6681, relative_absolute_error: 1.3481, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.1682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, kappa: 0.3788, kb_relative_information_score: 159.605, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6527, prior_entropy: 2.5222, recall: 0.6527, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, kappa: 0.387, kb_relative_information_score: 159.3145, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, kappa: 0.3938, kb_relative_information_score: 159.5249, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, kappa: 0.5246, kb_relative_information_score: -39.3138, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 1.3463, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, kappa: 0.5341, kb_relative_information_score: 194.9512, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.719, prior_entropy: 2.5222, recall: 0.719, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, kappa: 0.49, kb_relative_information_score: 188.0757, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, kappa: 0.5471, kb_relative_information_score: 233.1255, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, kappa: 0.5781, kb_relative_information_score: 205.3644, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7412, prior_entropy: 2.5222, recall: 0.7412, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, kappa: 0.5234, kb_relative_information_score: 232.2637, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6925, prior_entropy: 2.5222, recall: 0.6925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, kappa: 0.5, kb_relative_information_score: 191.9179, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6903, prior_entropy: 2.5222, recall: 0.6903, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, kappa: 0.4073, kb_relative_information_score: 164.3352, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6637, prior_entropy: 2.5222, recall: 0.6637, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, kappa: 0.4984, kb_relative_information_score: 184.7673, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, kappa: 0.5501, kb_relative_information_score: -38.9306, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 1.345, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2395, root_relative_squared_error: 1.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, kappa: 0.466, kb_relative_information_score: 178.7189, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6858, prior_entropy: 2.5222, recall: 0.6858, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, kappa: 0.5472, kb_relative_information_score: 200.0692, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.161, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, kappa: 0.5477, kb_relative_information_score: 200.5143, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7212, prior_entropy: 2.5222, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, kappa: 0.498, kb_relative_information_score: 190.2281, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7035, prior_entropy: 2.5222, recall: 0.7035, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, kappa: 0.1124, kb_relative_information_score: 124.9981, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.5686, prior_entropy: 2.5222, recall: 0.5686, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.193, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, kappa: 0.5518, kb_relative_information_score: 212.9367, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, kappa: 0.5093, kb_relative_information_score: 195.7938, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, kappa: 0.5473, kb_relative_information_score: 236.1772, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.182, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, kappa: 0.5672, kb_relative_information_score: -39.1863, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 1.3459, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, kappa: 0.5356, kb_relative_information_score: -39.1857, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.719, prior_entropy: 2.5222, recall: 0.719, relative_absolute_error: 1.3458, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2396, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, kappa: 0.6275, kb_relative_information_score: 231.8071, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7655, prior_entropy: 2.5222, recall: 0.7655, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, kappa: 0.5207, kb_relative_information_score: 222.8764, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6925, prior_entropy: 2.5222, recall: 0.6925, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, kappa: 0.4571, kb_relative_information_score: 170.7264, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6836, prior_entropy: 2.5222, recall: 0.6836, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, kappa: 0.5823, kb_relative_information_score: 212.1607, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, kappa: 0.5439, kb_relative_information_score: 195.96, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7168, prior_entropy: 2.5222, recall: 0.7168, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, kappa: 0.5333, kb_relative_information_score: -39.8576, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 1.3472, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, kappa: 0.5913, kb_relative_information_score: 226.8765, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7412, prior_entropy: 2.5222, recall: 0.7412, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, kappa: 0.5729, kb_relative_information_score: -40.148, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7412, prior_entropy: 2.5222, recall: 0.7412, relative_absolute_error: 1.3478, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.24, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, kappa: 0.5261, kb_relative_information_score: 199.2476, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7035, prior_entropy: 2.5222, recall: 0.7035, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, kappa: 0.6016, kb_relative_information_score: 215.0781, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7522, prior_entropy: 2.5222, recall: 0.7522, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, kappa: 0.551, kb_relative_information_score: 229.4376, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.7827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, kappa: 0.0983, kb_relative_information_score: 121.0593, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.5619, prior_entropy: 2.5222, recall: 0.5619, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, kappa: 0.5529, kb_relative_information_score: 207.7992, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, kappa: 0.4676, kb_relative_information_score: 176.264, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.8113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, kappa: 0.5355, kb_relative_information_score: 226.6876, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, kappa: 0.528, kb_relative_information_score: 237.1016, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7168, prior_entropy: 2.5222, recall: 0.7168, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, kappa: 0.5727, kb_relative_information_score: 220.0923, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7323, prior_entropy: 2.5222, recall: 0.7323, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.7832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, kappa: 0.2493, kb_relative_information_score: 162.6286, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6217, prior_entropy: 2.5222, recall: 0.6217, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, kappa: 0.4585, kb_relative_information_score: 176.8348, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, kappa: 0.5528, kb_relative_information_score: 208.0574, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7323, prior_entropy: 2.5222, recall: 0.7323, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.7665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, kappa: 0.345, kb_relative_information_score: 145.9547, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6416, prior_entropy: 2.5222, recall: 0.6416, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, kappa: 0.5828, kb_relative_information_score: 213.432, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7389, prior_entropy: 2.5222, recall: 0.7389, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, kappa: 0.5141, kb_relative_information_score: 188.9158, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, kappa: 0.6043, kb_relative_information_score: 220.5318, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7544, prior_entropy: 2.5222, recall: 0.7544, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, kappa: 0.4642, kb_relative_information_score: 177.4232, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6881, prior_entropy: 2.5222, recall: 0.6881, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, kappa: 0.4188, kb_relative_information_score: 207.0666, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, kappa: 0.553, kb_relative_information_score: 202.926, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, kappa: 0.594, kb_relative_information_score: -39.9458, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 1.3476, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.24, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, kappa: 0.553, kb_relative_information_score: 212.3674, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.719, prior_entropy: 2.5222, recall: 0.719, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, kappa: 0.5392, kb_relative_information_score: 228.7074, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7035, prior_entropy: 2.5222, recall: 0.7035, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, kappa: 0.4901, kb_relative_information_score: 210.5415, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6681, prior_entropy: 2.5222, recall: 0.6681, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, kappa: 0.5836, kb_relative_information_score: 207.2522, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, kappa: 0.5901, kb_relative_information_score: 206.702, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7478, prior_entropy: 2.5222, recall: 0.7478, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.4631, kb_relative_information_score: 171.2804, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.169, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, kappa: 0.4427, kb_relative_information_score: 174.3531, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6836, prior_entropy: 2.5222, recall: 0.6836, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, kappa: 0.4892, kb_relative_information_score: -39.2252, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7058, prior_entropy: 2.5222, recall: 0.7058, relative_absolute_error: 1.3453, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2396, root_relative_squared_error: 1.1657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, kappa: 0.5438, kb_relative_information_score: 194.8539, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7168, prior_entropy: 2.5222, recall: 0.7168, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, kappa: 0.5987, kb_relative_information_score: 212.6836, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7522, prior_entropy: 2.5222, recall: 0.7522, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, kappa: 0.4534, kb_relative_information_score: 168.9883, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6792, prior_entropy: 2.5222, recall: 0.6792, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.169, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, kappa: 0.5444, kb_relative_information_score: 235.1319, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7035, prior_entropy: 2.5222, recall: 0.7035, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.182, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, kappa: 0.5238, kb_relative_information_score: 188.5215, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, kappa: 0.383, kb_relative_information_score: 157.6349, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6527, prior_entropy: 2.5222, recall: 0.6527, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, kappa: 0.4644, kb_relative_information_score: 220.7305, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6969, prior_entropy: 2.5222, recall: 0.6969, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, kappa: 0.5474, kb_relative_information_score: 196.6165, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.719, prior_entropy: 2.5222, recall: 0.719, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, kappa: 0.5223, kb_relative_information_score: 226.3864, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.176, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, kappa: 0.5614, kb_relative_information_score: -38.8458, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7323, prior_entropy: 2.5222, recall: 0.7323, relative_absolute_error: 1.3446, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2394, root_relative_squared_error: 1.1651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, kappa: 0.2342, kb_relative_information_score: 147.4518, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.5996, prior_entropy: 2.5222, recall: 0.5996, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, kappa: 0.6267, kb_relative_information_score: 214.4475, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7677, prior_entropy: 2.5222, recall: 0.7677, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, kappa: 0.4644, kb_relative_information_score: 168.2538, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6858, prior_entropy: 2.5222, recall: 0.6858, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, kappa: 0.4384, kb_relative_information_score: 170.911, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.6748, prior_entropy: 2.5222, recall: 0.6748, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, kappa: 0.5883, kb_relative_information_score: 207.6145, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7478, prior_entropy: 2.5222, recall: 0.7478, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.6086, kb_relative_information_score: 220.9567, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7566, prior_entropy: 2.5222, recall: 0.7566, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, kappa: 0.6063, kb_relative_information_score: 224.4351, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7544, prior_entropy: 2.5222, recall: 0.7544, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, kappa: 0.5801, kb_relative_information_score: 207.7876, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0855, number_of_instances: 452, predictive_accuracy: 0.7434, prior_entropy: 2.5222, recall: 0.7434, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.7702,

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