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: 0.9933, f_measure: 0.954, kappa: 0.9005, kb_relative_information_score: 1415.9913, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9568, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.2364, 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: 0.9931, f_measure: 0.9462, kappa: 0.8837, kb_relative_information_score: 1357.1001, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.945, prior_entropy: 1.2099, recall: 0.945, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9287, kappa: 0.8535, kb_relative_information_score: 1258.5682, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9366, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9573, kappa: 0.9075, kb_relative_information_score: 1478.573, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9596, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9393, kappa: 0.8732, kb_relative_information_score: 1319.8919, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9457, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9385, kappa: 0.8728, kb_relative_information_score: 1316.5657, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9459, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9632, kappa: 0.921, kb_relative_information_score: 1285.155, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9645, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, kappa: 0.7098, kb_relative_information_score: 860.1728, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8756, prior_entropy: 1.2099, recall: 0.8756, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9557, kappa: 0.9079, kb_relative_information_score: 1196.6318, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9598, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9582, kappa: 0.9092, kb_relative_information_score: 1466.7908, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9318, kappa: 0.86, kb_relative_information_score: 1276.7376, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9615, kappa: 0.9165, kb_relative_information_score: 1460.9211, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9192, kappa: 0.838, kb_relative_information_score: 1200.4873, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9312, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9386, kappa: 0.8716, kb_relative_information_score: 1271.4788, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9428, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9191, kappa: 0.8407, kb_relative_information_score: 1226.5754, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9316, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9168, kappa: 0.8341, kb_relative_information_score: 1017.5354, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9289, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9671, kappa: 0.9284, kb_relative_information_score: 1514.181, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.969, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9586, kappa: 0.9104, kb_relative_information_score: 1441.2937, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9614, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9581, kappa: 0.9092, kb_relative_information_score: 1416.0174, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9608, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9591, kappa: 0.9115, kb_relative_information_score: 1403.1535, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9617, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9434, kappa: 0.8847, kb_relative_information_score: 1184.0082, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.951, predictive_accuracy: 0.9468, prior_entropy: 1.2099, recall: 0.9468, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9749, kappa: 0.9454, kb_relative_information_score: 1577.4644, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.976, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9626, kappa: 0.9189, kb_relative_information_score: 1463.2305, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9651, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9591, kappa: 0.912, kb_relative_information_score: 1280.6194, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9044, kappa: 0.8223, kb_relative_information_score: 1168.4029, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9202, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9152, kappa: 0.842, kb_relative_information_score: 1152.8899, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9333, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9738, kappa: 0.9429, kb_relative_information_score: 1582.4509, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9749, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9538, kappa: 0.9005, kb_relative_information_score: 1371.8163, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9569, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9562, kappa: 0.9053, kb_relative_information_score: 1390.1348, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9588, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9611, kappa: 0.9174, kb_relative_information_score: 1281.6697, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9634, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9575, kappa: 0.908, kb_relative_information_score: 1432.4448, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9603, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9638, kappa: 0.9213, kb_relative_information_score: 1477.01, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.966, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.95, kappa: 0.8928, kb_relative_information_score: 1329.6443, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9536, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9643, kappa: 0.9224, kb_relative_information_score: 1472.4689, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9665, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.958, kappa: 0.9092, kb_relative_information_score: 1440.361, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9608, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8952, kappa: 0.8054, kb_relative_information_score: 1071.0184, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8865, predictive_accuracy: 0.912, prior_entropy: 1.2099, recall: 0.912, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9356, kappa: 0.8643, kb_relative_information_score: 1318.7665, mean_absolute_error: 0.0711, 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: 0.3106, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9761, kappa: 0.9482, kb_relative_information_score: -768.3331, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 1.5282, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.1954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9736, kappa: 0.9426, kb_relative_information_score: 1600.5226, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9744, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.962, kappa: 0.9176, kb_relative_information_score: 1515.0545, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9644, predictive_accuracy: 0.9612, prior_entropy: 1.2099, recall: 0.9612, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.119, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9075, kappa: 0.8256, kb_relative_information_score: 1032.1473, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9235, predictive_accuracy: 0.9219, prior_entropy: 1.2099, recall: 0.9219, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9444, kappa: 0.8853, kb_relative_information_score: 1220.4922, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.95, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9591, kappa: 0.9114, kb_relative_information_score: 1479.8047, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9615, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9763, kappa: 0.9482, kb_relative_information_score: -777.692, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9764, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 1.532, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.924, kappa: 0.8511, kb_relative_information_score: 1220.7196, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9359, predictive_accuracy: 0.9311, prior_entropy: 1.2099, recall: 0.9311, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8871, kappa: 0.7822, kb_relative_information_score: 949.7089, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9123, predictive_accuracy: 0.9057, prior_entropy: 1.2099, recall: 0.9057, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, kappa: 0.6723, kb_relative_information_score: 880.5257, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.6778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9239, kappa: 0.8541, kb_relative_information_score: 1143.9918, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9402, predictive_accuracy: 0.9334, prior_entropy: 1.2099, recall: 0.9334, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9597, kappa: 0.9125, kb_relative_information_score: 1457.5669, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9721, kappa: 0.9393, kb_relative_information_score: 1542.7462, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9735, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9075, kappa: 0.8212, kb_relative_information_score: 1232.0423, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9245, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9557, kappa: 0.9043, kb_relative_information_score: 1385.4114, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9586, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9607, kappa: 0.915, kb_relative_information_score: 1393.7583, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9631, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, kappa: 0.7143, kb_relative_information_score: 899.3307, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8773, prior_entropy: 1.2099, recall: 0.8773, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.963, kappa: 0.9198, kb_relative_information_score: 1469.3539, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9651, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9034, kappa: 0.8103, kb_relative_information_score: 997.4971, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9181, predictive_accuracy: 0.9172, prior_entropy: 1.2099, recall: 0.9172, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.919, kappa: 0.8283, kb_relative_information_score: 1379.8395, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9155, prior_entropy: 1.2099, recall: 0.9155, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9002, kappa: 0.814, kb_relative_information_score: 1097.8913, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.903, predictive_accuracy: 0.9155, prior_entropy: 1.2099, recall: 0.9155, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, kappa: 0.7614, kb_relative_information_score: 918.24, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8727, kappa: 0.7372, kb_relative_information_score: 850.5303, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9022, predictive_accuracy: 0.8646, prior_entropy: 1.2099, recall: 0.8646, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9398, kappa: 0.8742, kb_relative_information_score: 1337.3135, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.945, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9644, kappa: 0.9225, kb_relative_information_score: 1531.581, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9666, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9533, kappa: 0.8981, kb_relative_information_score: 1479.1805, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9564, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9073, kappa: 0.8255, kb_relative_information_score: 1102.5704, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9246, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9347, kappa: 0.8601, kb_relative_information_score: 1390.8025, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9386, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.923, kappa: 0.8471, kb_relative_information_score: 1171.7012, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9342, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.5552, kb_relative_information_score: 775.5348, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8241, prior_entropy: 1.2099, recall: 0.8241, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9404, kappa: 0.8778, kb_relative_information_score: 1240.01, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9461, predictive_accuracy: 0.9433, prior_entropy: 1.2099, recall: 0.9433, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9197, kappa: 0.8446, kb_relative_information_score: 1187.6501, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9347, predictive_accuracy: 0.9282, prior_entropy: 1.2099, recall: 0.9282, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9014, kappa: 0.8169, kb_relative_information_score: 1236.9137, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9197, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.181, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9637, kappa: 0.9212, kb_relative_information_score: 1520.2841, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9658, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9275, kappa: 0.8544, kb_relative_information_score: 1233.7093, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9368, predictive_accuracy: 0.9323, prior_entropy: 1.2099, recall: 0.9323, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9583, kappa: 0.9096, kb_relative_information_score: 1398.9084, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9601, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9594, kappa: 0.9123, kb_relative_information_score: 1396.6454, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9619, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9078, kappa: 0.822, kb_relative_information_score: 1224.5372, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9231, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9617, kappa: 0.9167, kb_relative_information_score: 1555.8947, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.943, kappa: 0.8784, kb_relative_information_score: 1348.1978, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.947, predictive_accuracy: 0.9427, prior_entropy: 1.2099, recall: 0.9427, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9294, kappa: 0.8557, kb_relative_information_score: 1280.0988, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9368, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9114, kappa: 0.8305, kb_relative_information_score: 1043.6852, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9319, predictive_accuracy: 0.9242, prior_entropy: 1.2099, recall: 0.9242, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.939, kappa: 0.8698, kb_relative_information_score: 1349.8855, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9434, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9574, kappa: 0.9079, kb_relative_information_score: 1401.9551, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9601, predictive_accuracy: 0.9566, prior_entropy: 1.2099, recall: 0.9566, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9013, kappa: 0.8177, kb_relative_information_score: 1161.0601, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9304, predictive_accuracy: 0.9161, prior_entropy: 1.2099, recall: 0.9161, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.193, root_relative_squared_error: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9468, kappa: 0.8862, kb_relative_information_score: 1308.9915, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9468, prior_entropy: 1.2099, recall: 0.9468, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.96, kappa: 0.9127, kb_relative_information_score: 1484.5206, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9625, predictive_accuracy: 0.9589, prior_entropy: 1.2099, recall: 0.9589, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9435, kappa: 0.8786, kb_relative_information_score: 1324.7839, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.948, predictive_accuracy: 0.9427, prior_entropy: 1.2099, recall: 0.9427, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9093, kappa: 0.8222, kb_relative_information_score: 1181.6139, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9251, predictive_accuracy: 0.9178, prior_entropy: 1.2099, recall: 0.9178, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8981, kappa: 0.8124, kb_relative_information_score: 1089.8586, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.89, predictive_accuracy: 0.9149, prior_entropy: 1.2099, recall: 0.9149, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9543, kappa: 0.9007, kb_relative_information_score: 1477.1624, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9572, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9479, kappa: 0.8883, kb_relative_information_score: 1344.9921, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9522, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9568, kappa: 0.9066, kb_relative_information_score: 1390.4769, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9594, predictive_accuracy: 0.956, prior_entropy: 1.2099, recall: 0.956, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9551, kappa: 0.9028, kb_relative_information_score: 1367.6727, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9578, predictive_accuracy: 0.9543, prior_entropy: 1.2099, recall: 0.9543, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9585, kappa: 0.9102, kb_relative_information_score: 1402.1995, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9611, predictive_accuracy: 0.9578, prior_entropy: 1.2099, recall: 0.9578, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9608, kappa: 0.915, kb_relative_information_score: 1515.8494, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9629, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9581, kappa: 0.9092, kb_relative_information_score: 1451.723, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9609, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9615, kappa: 0.9164, kb_relative_information_score: 1487.4868, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.964, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9626, kappa: 0.9189, kb_relative_information_score: 1494.6786, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9651, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9655, kappa: 0.926, kb_relative_information_score: 1552.3949, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9672, predictive_accuracy: 0.9659, prior_entropy: 1.2099, recall: 0.9659, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9749, kappa: 0.9455, kb_relative_information_score: 1571.698, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9761, predictive_accuracy: 0.9745, prior_entropy: 1.2099, recall: 0.9745, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9653, kappa: 0.9247, kb_relative_information_score: 1452.8099, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9673, predictive_accuracy: 0.9647, prior_entropy: 1.2099, recall: 0.9647, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9442, kappa: 0.8815, kb_relative_information_score: 1338.6548, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9479, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4738,

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