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: 0.9911, f_measure: 0.9387, kappa: 0.8657, kb_relative_information_score: 1480.876, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.433,
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: 0.985, 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: 0.9938, f_measure: 0.9554, kappa: 0.9026, kb_relative_information_score: 1562.129, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9564, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9684, kappa: 0.9315, kb_relative_information_score: 1621.8724, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9684, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3033,
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: 0.9917, f_measure: 0.9364, kappa: 0.8602, kb_relative_information_score: 1480.8795, mean_absolute_error: 0.0387, 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: 0.1692, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4309,
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: 0.9859, 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: 0.9902, 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: 0.9943, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1565.0151, mean_absolute_error: 0.025, 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: 0.1092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3524,
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: 0.9933, f_measure: 0.9508, kappa: 0.8927, kb_relative_information_score: 1535.0978, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9518, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9314, kappa: 0.8507, kb_relative_information_score: 1457.4766, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4521,
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: 0.9871, 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: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1482.7646, 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: 0.168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.145, root_relative_squared_error: 0.429,
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: 0.9915, 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: 0.9918, 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: 0.9907, 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: 0.9891, 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: 0.9944, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1566.4656, 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: 0.1187, root_relative_squared_error: 0.3512,
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: 0.9891, 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: 0.9934, 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: 0.9921, f_measure: 0.9495, kappa: 0.8899, kb_relative_information_score: 1559.9126, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9553, kappa: 0.9024, kb_relative_information_score: 1567.2634, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9561, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1549.216, mean_absolute_error: 0.0275, 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: 0.12, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3714,
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: 0.9895, f_measure: 0.9408, kappa: 0.8711, kb_relative_information_score: 1498.4318, mean_absolute_error: 0.0355, 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: 0.155, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1547.9165, 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: 0.1213, 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: 0.9891, 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: 0.989, 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: 0.9876, 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: 0.9892, f_measure: 0.9407, kappa: 0.8706, kb_relative_information_score: 1496.0495, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9411, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4243,
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: 0.9873, 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: 0.9918, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1565.8108, mean_absolute_error: 0.0239, 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: 0.1043, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3657,
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: 0.9891, 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: 0.9932, f_measure: 0.9531, kappa: 0.8975, kb_relative_information_score: 1548.3899, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9541, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3734,
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: 0.9868, 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: 0.9891, 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: 0.9907, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1597.1622, mean_absolute_error: 0.0187, 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: 0.0818, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.952, kappa: 0.8953, kb_relative_information_score: 1537.4547, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9531, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3812,
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: 0.9856, 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: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1484.2206, mean_absolute_error: 0.0383, 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: 0.1672, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9543, kappa: 0.9002, kb_relative_information_score: 1541.8184, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9555, predictive_accuracy: 0.9537, prior_entropy: 1.2099, recall: 0.9537, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9407, kappa: 0.8706, kb_relative_information_score: 1495.1799, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9411, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9554, kappa: 0.9025, kb_relative_information_score: 1562.2142, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9563, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.3604,
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: 0.9913, 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: 0.9932, f_measure: 0.9531, kappa: 0.8975, kb_relative_information_score: 1548.3899, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9541, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3734,
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: 0.9927, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.1073, 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: 0.0931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1562.5651, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1380.0431, mean_absolute_error: 0.0551, 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: 0.2405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6233, 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: 0.9895, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1501.9375, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4194,
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: 0.9888, f_measure: 0.9383, kappa: 0.8652, kb_relative_information_score: 1488.5912, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9387, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9586, kappa: 0.9098, kb_relative_information_score: 1577.9264, mean_absolute_error: 0.0227, 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: 0.099, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3456,
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: 0.9858, 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: 0.992, f_measure: 0.9479, kappa: 0.8862, kb_relative_information_score: 1539.8803, mean_absolute_error: 0.0292, 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: 0.1273, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3875,
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: 0.9902, 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: 0.9928, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.6153, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4188,
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: 0.9895, f_measure: 0.939, kappa: 0.8669, kb_relative_information_score: 1489.0259, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9396, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1648, 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: 0.9894, f_measure: 0.942, kappa: 0.8734, kb_relative_information_score: 1501.5027, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4196,
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: 0.923, 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: 0.9881, 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: 0.9913, 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: 0.9907, 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: 0.9891, 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: 0.9888, f_measure: 0.9356, kappa: 0.8594, kb_relative_information_score: 1480.4373, mean_absolute_error: 0.0389, 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: 0.1699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4351,
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: 0.985, 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: 0.9935, f_measure: 0.9508, kappa: 0.8927, kb_relative_information_score: 1535.4654, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9518, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9395, kappa: 0.8679, kb_relative_information_score: 1492.3087, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9399, predictive_accuracy: 0.9392, prior_entropy: 1.2099, recall: 0.9392, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.946, kappa: 0.8822, kb_relative_information_score: 1529.5181, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9466, predictive_accuracy: 0.9456, prior_entropy: 1.2099, recall: 0.9456, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1424.9732, 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: 0.2129, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4734,
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: 0.9928, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.6153, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1541.2964, mean_absolute_error: 0.029, 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: 0.1268, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.956, kappa: 0.9039, kb_relative_information_score: 1560.8788, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.957, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9304, kappa: 0.8484, kb_relative_information_score: 1448.5818, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9322, predictive_accuracy: 0.9294, prior_entropy: 1.2099, recall: 0.9294, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9618, kappa: 0.9168, kb_relative_information_score: 1599.6637, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.891, kb_relative_information_score: 1569.5005, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3604,
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: 0.9846, 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: 0.9873, 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: 0.9929, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1563.7291, 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: 0.1069, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1563.7972, mean_absolute_error: 0.0252, 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: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3553,

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

OpenML APIs