OpenML
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
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  • 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: 0.989, 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: 0.9891, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1494.4665, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9407, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9391, kappa: 0.8657, kb_relative_information_score: 1491.9323, mean_absolute_error: 0.0369, 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: 0.161, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4221,
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: 0.9914, 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: 0.9868, 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: 0.9853, 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: 0.9907, 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: 0.9247, 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: 0.9891, 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: 0.9894, 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: 0.9936, f_measure: 0.9531, kappa: 0.8975, kb_relative_information_score: 1540.6568, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9543, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3783,
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: 0.9852, 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: 0.9858, 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: 0.9919, 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: 0.9935, f_measure: 0.9581, kappa: 0.9085, kb_relative_information_score: 1576.2398, mean_absolute_error: 0.0224, 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: 0.0976, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1566.0308, mean_absolute_error: 0.0248, 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: 0.1084, 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: 0.9895, 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: 0.993, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1583.6059, 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: 0.1167, root_relative_squared_error: 0.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1494.6877, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4255,
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: 0.9874, 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: 0.989, 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: 0.9897, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1501.2235, 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: 0.1543, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9417, kappa: 0.8727, kb_relative_information_score: 1533.912, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.2741, mean_absolute_error: 0.0365, 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: 0.1595, 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: 0.9922, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1569.6474, mean_absolute_error: 0.0227, 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: 0.0991, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3636,
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: 0.9938, f_measure: 0.9604, kappa: 0.9134, kb_relative_information_score: 1584.4419, mean_absolute_error: 0.021, 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: 0.0918, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1379.9371, 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: 0.2406, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5072,
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: 0.985, 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: 0.9891, 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: 0.9868, 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: 0.923, 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: 0.9914, f_measure: 0.9417, kappa: 0.8727, kb_relative_information_score: 1534.3468, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.3908,
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: 0.9931, f_measure: 0.9548, kappa: 0.9013, kb_relative_information_score: 1546.4193, mean_absolute_error: 0.0279, 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: 0.122, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9597, kappa: 0.9121, kb_relative_information_score: 1583.4241, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9601, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3396,
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: 0.9933, 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: 0.985, 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: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.6819, 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: 0.1878, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4529,
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: 0.9891, 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: 0.9893, 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: 0.9869, 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: 0.9891, 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: 0.9858, 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: 0.9884, 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: 0.989, f_measure: 0.9389, kappa: 0.8666, kb_relative_information_score: 1491.8165, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9494, kappa: 0.8894, kb_relative_information_score: 1547.4767, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.384,
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: 0.9912, 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,
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: 0.9868, 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: 0.9894, f_measure: 0.9378, kappa: 0.8642, kb_relative_information_score: 1486.1546, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 1.2099, recall: 0.9375, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4297,
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: 0.9873, 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: 0.9891, f_measure: 0.9401, kappa: 0.8693, kb_relative_information_score: 1494.7854, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9407, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4259,
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: 0.9868, 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: 0.9891, 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: 0.9924, f_measure: 0.9618, kappa: 0.9168, kb_relative_information_score: 1600.728, mean_absolute_error: 0.0181, 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: 0.0791, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3299,
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: 0.9858, 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: 0.9914, 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: 0.9247, 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: 0.994, f_measure: 0.9559, kappa: 0.9039, kb_relative_information_score: 1565.3148, mean_absolute_error: 0.0249, 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: 0.1087, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1483.8793, mean_absolute_error: 0.0384, 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: 0.1676, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4301,
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: 0.9885, f_measure: 0.9383, kappa: 0.8656, kb_relative_information_score: 1484.5608, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9388, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1662, 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: 0.9916, f_measure: 0.949, kappa: 0.8887, kb_relative_information_score: 1538.8118, mean_absolute_error: 0.0295, 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: 0.1287, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.388,
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: 0.9934, f_measure: 0.9516, kappa: 0.8941, kb_relative_information_score: 1537.0545, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.953, predictive_accuracy: 0.9508, prior_entropy: 1.2099, recall: 0.9508, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.3314, 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: 0.2294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9598, kappa: 0.9123, kb_relative_information_score: 1583.5592, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9603, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3386,
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: 0.9894, 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: 0.9919, 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: 0.985, 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: 0.9911, f_measure: 0.9632, kappa: 0.92, kb_relative_information_score: 1607.8896, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9632, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 1563.8265, 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: 0.9858, 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: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1502.5581, mean_absolute_error: 0.0351, 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: 0.1534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1537.8606, 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: 0.1272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.3917,
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: 0.9871, 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: 0.9888, f_measure: 0.9372, kappa: 0.863, kb_relative_information_score: 1480.9577, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9378, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4353,
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: 0.9868, 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: 0.9889, 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: 0.9902, 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: 0.9919, 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: 0.9858, 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: 0.9874, 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,

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