Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.1473, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9479, kappa: 0.8862, kb_relative_information_score: 1537.6803, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9581, kappa: 0.9085, kb_relative_information_score: 1575.6741, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9586, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9615, kappa: 0.9162, kb_relative_information_score: 1612.9247, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9614, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9398, kappa: 0.8688, kb_relative_information_score: 1479.3761, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.927, kappa: 0.84, kb_relative_information_score: 1461.4054, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9278, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.4461, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.0451, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9571, kappa: 0.9065, kb_relative_information_score: 1564.6016, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1566.0836, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9567, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1566.7762, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9602, kappa: 0.9134, kb_relative_information_score: 1589.7214, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9606, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9565, kappa: 0.905, kb_relative_information_score: 1547.5071, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9575, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.0427, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9408, kappa: 0.8711, kb_relative_information_score: 1497.8468, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9416, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6869, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9364, kappa: 0.8602, kb_relative_information_score: 1482.3355, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.1473, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9548, kappa: 0.9013, kb_relative_information_score: 1546.2654, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9558, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1566.8306, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1547.9447, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9381, kappa: 0.8646, kb_relative_information_score: 1483.3476, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9414, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.941, kappa: 0.8714, kb_relative_information_score: 1481.4885, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9436, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9639, kappa: 0.9217, kb_relative_information_score: 1605.2378, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.6395, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.1511, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9548, kappa: 0.9012, kb_relative_information_score: 1556.9668, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9559, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9356, kappa: 0.8594, kb_relative_information_score: 1481.6258, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9362, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.978, kappa: 0.9519, kb_relative_information_score: 1625.2277, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9439, kappa: 0.8773, kb_relative_information_score: 1509.6757, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9447, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1547.823, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9571, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9277, kappa: 0.8414, kb_relative_information_score: 1462.3042, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1582.9764, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9138, kappa: 0.8114, kb_relative_information_score: 1385.3994, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9165, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.2254, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.2254, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9607, kappa: 0.9148, kb_relative_information_score: 1612.881, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9413, kappa: 0.8718, kb_relative_information_score: 1512.3917, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9586, kappa: 0.9098, kb_relative_information_score: 1577.3943, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9591, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.4461, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9473, kappa: 0.8851, kb_relative_information_score: 1536.7568, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9482, predictive_accuracy: 0.9468, prior_entropy: 1.2099, recall: 0.9468, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1537.5458, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9418, kappa: 0.8729, kb_relative_information_score: 1535.6059, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9422, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6953, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1562.1436, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1599.5585, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9391, kappa: 0.8657, kb_relative_information_score: 1492.2735, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1563.4446, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1458.0803, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9125, kappa: 0.8089, kb_relative_information_score: 1384.7076, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9525, kappa: 0.8963, kb_relative_information_score: 1530.4089, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9535, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1399.2234, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9796, kappa: 0.9556, kb_relative_information_score: 1642.923, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9796, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1541.5666, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9485, prior_entropy: 1.2099, recall: 0.9485, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9101, kappa: 0.8039, kb_relative_information_score: 1366.2259, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9406, kappa: 0.8702, kb_relative_information_score: 1521.598, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9409, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9364, kappa: 0.8602, kb_relative_information_score: 1480.5382, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1482.4233, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1381.1511, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9408, kappa: 0.8707, kb_relative_information_score: 1498.7474, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9294, kappa: 0.8463, kb_relative_information_score: 1456.5372, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 1.2099, recall: 0.9288, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9218, kappa: 0.8296, kb_relative_information_score: 1400.6869, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9243, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1501.9731, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.5234, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9247, kappa: 0.8358, kb_relative_information_score: 1454.3575, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9255, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1399.2234, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.1821, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4331,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs