OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

13592 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.6846, kappa: 0.6869, kb_relative_information_score: 1102.9175, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6975, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, kappa: 0.149, kb_relative_information_score: 249.0581, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1575, prior_entropy: 6.6439, recall: 0.1575, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: -0.0076, kb_relative_information_score: 0.5169, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.5822, kappa: 0.5745, kb_relative_information_score: 924.5291, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6177, predictive_accuracy: 0.5788, prior_entropy: 6.6439, recall: 0.5788, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6915, kappa: 0.6938, kb_relative_information_score: 1113.9415, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7077, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1559, kb_relative_information_score: 260.0821, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1644, prior_entropy: 6.6439, recall: 0.1644, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.716, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7307, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1559, kb_relative_information_score: 260.0821, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1644, prior_entropy: 6.6439, recall: 0.1644, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1559, kb_relative_information_score: 260.0821, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1644, prior_entropy: 6.6439, recall: 0.1644, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, kappa: 0.2481, kb_relative_information_score: 406.4008, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2556, prior_entropy: 6.6439, recall: 0.2556, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.122, root_relative_squared_error: 1.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.658, kappa: 0.6616, kb_relative_information_score: 1062.8302, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.665, prior_entropy: 6.6439, recall: 0.665, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, kappa: 0.3232, kb_relative_information_score: 525.6605, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1158, root_relative_squared_error: 1.1634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7006, kappa: 0.7027, kb_relative_information_score: 1127.9721, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7147, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.72, kappa: 0.7222, kb_relative_information_score: 1159.0397, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7296, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.2002, kappa: 0.1484, kb_relative_information_score: 248.0559, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4253, predictive_accuracy: 0.1569, prior_entropy: 6.6439, recall: 0.1569, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1299, root_relative_squared_error: 1.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, kappa: 0.416, kb_relative_information_score: 672.9813, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4219, prior_entropy: 6.6439, recall: 0.4219, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1075, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kappa: 0.1534, kb_relative_information_score: 256.0734, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1619, prior_entropy: 6.6439, recall: 0.1619, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1295, root_relative_squared_error: 1.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.5438, kappa: 0.5379, kb_relative_information_score: 866.4025, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5856, predictive_accuracy: 0.5425, prior_entropy: 6.6439, recall: 0.5425, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, kappa: 0.1521, kb_relative_information_score: 254.069, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1606, prior_entropy: 6.6439, recall: 0.1606, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1296, root_relative_squared_error: 1.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, kappa: 0.2525, kb_relative_information_score: 413.416, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.26, prior_entropy: 6.6439, recall: 0.26, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1217, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.6786, kappa: 0.6806, kb_relative_information_score: 1092.8957, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6925, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, kappa: 0.1686, kb_relative_information_score: 280.1258, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1769, prior_entropy: 6.6439, recall: 0.1769, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1283, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, kappa: 0.5429, kb_relative_information_score: 874.4199, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5475, prior_entropy: 6.6439, recall: 0.5475, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, kappa: 0.1654, kb_relative_information_score: 275.1149, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1738, prior_entropy: 6.6439, recall: 0.1738, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1285, root_relative_squared_error: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 11.5409, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, kappa: 0.0751, kb_relative_information_score: 131.8028, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0844, prior_entropy: 6.6439, recall: 0.0844, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, kappa: 0.1402, kb_relative_information_score: 235.0276, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1488, prior_entropy: 6.6439, recall: 0.1488, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1305, root_relative_squared_error: 1.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, kappa: 0.3485, kb_relative_information_score: 565.7478, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1136, root_relative_squared_error: 1.1415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0107, kb_relative_information_score: 29.5802, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0206, prior_entropy: 6.6439, recall: 0.0206, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 1.5191, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.3432, kappa: 0.3081, kb_relative_information_score: 501.6081, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.467, predictive_accuracy: 0.315, prior_entropy: 6.6439, recall: 0.315, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.117, root_relative_squared_error: 1.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, kappa: 0.4729, kb_relative_information_score: 763.1777, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1022, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.6536, kappa: 0.6566, kb_relative_information_score: 1054.8128, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6684, predictive_accuracy: 0.66, prior_entropy: 6.6439, recall: 0.66, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6872, kappa: 0.6888, kb_relative_information_score: 1105.9241, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7041, predictive_accuracy: 0.6919, prior_entropy: 6.6439, recall: 0.6919, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, kappa: 0.0701, kb_relative_information_score: 123.7853, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0794, prior_entropy: 6.6439, recall: 0.0794, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1357, root_relative_squared_error: 1.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, kappa: 0.1919, kb_relative_information_score: 317.2065, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2, prior_entropy: 6.6439, recall: 0.2, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1265, root_relative_squared_error: 1.2713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7217, kappa: 0.7266, kb_relative_information_score: 1166.055, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7347, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 5.5278, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, kappa: 0.1143, kb_relative_information_score: 193.9381, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1231, prior_entropy: 6.6439, recall: 0.1231, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1324, root_relative_squared_error: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, kappa: 0.1755, kb_relative_information_score: 291.1498, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1838, prior_entropy: 6.6439, recall: 0.1838, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1278, root_relative_squared_error: 1.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.6928, kappa: 0.6944, kb_relative_information_score: 1114.9437, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7061, predictive_accuracy: 0.6975, prior_entropy: 6.6439, recall: 0.6975, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, kappa: 0.1616, kb_relative_information_score: 269.1018, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.17, prior_entropy: 6.6439, recall: 0.17, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1288, root_relative_squared_error: 1.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6564, kappa: 0.6604, kb_relative_information_score: 1060.8259, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6782, predictive_accuracy: 0.6638, prior_entropy: 6.6439, recall: 0.6638, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6918, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7168, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6988, kappa: 0.7014, kb_relative_information_score: 1125.9677, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7135, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, kappa: 0.2765, kb_relative_information_score: 451.499, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2838, prior_entropy: 6.6439, recall: 0.2838, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1197, root_relative_squared_error: 1.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.6893, kappa: 0.6913, kb_relative_information_score: 1109.9328, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7069, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.6924, kappa: 0.6951, kb_relative_information_score: 1115.9459, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7095, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.6707, kappa: 0.6692, kb_relative_information_score: 1074.8564, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6892, predictive_accuracy: 0.6725, prior_entropy: 6.6439, recall: 0.6725, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7149, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7302, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7201, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7352, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6533, kappa: 0.6559, kb_relative_information_score: 1053.8106, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7079, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6787, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6922, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7103, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.725, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, kappa: 0.2847, kb_relative_information_score: 464.5273, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2919, prior_entropy: 6.6439, recall: 0.2919, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.119, root_relative_squared_error: 1.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, kappa: 0.4583, kb_relative_information_score: 740.1275, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4638, prior_entropy: 6.6439, recall: 0.4638, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1036, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, kappa: 0.3674, kb_relative_information_score: 595.8132, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3738, prior_entropy: 6.6439, recall: 0.3738, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1119, root_relative_squared_error: 1.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7219, kappa: 0.7266, kb_relative_information_score: 1166.055, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7355, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, kappa: 0.4697, kb_relative_information_score: 758.1668, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.475, prior_entropy: 6.6439, recall: 0.475, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1025, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, kappa: -0.0082, kb_relative_information_score: -0.4853, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0019, prior_entropy: 6.6439, recall: 0.0019, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, kappa: 0.041, kb_relative_information_score: 77.6849, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0506, prior_entropy: 6.6439, recall: 0.0506, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1378, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, kappa: 0.1761, kb_relative_information_score: 292.152, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1844, prior_entropy: 6.6439, recall: 0.1844, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1277, root_relative_squared_error: 1.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.6311, kappa: 0.6357, kb_relative_information_score: 1021.7408, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6508, predictive_accuracy: 0.6394, prior_entropy: 6.6439, recall: 0.6394, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7043, kappa: 0.7008, kb_relative_information_score: 1124.9655, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7237, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7227, kappa: 0.7273, kb_relative_information_score: 1167.0572, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, kappa: 0.154, kb_relative_information_score: 257.0756, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1625, prior_entropy: 6.6439, recall: 0.1625, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1294, root_relative_squared_error: 1.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, kappa: 0.0101, kb_relative_information_score: 28.578, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.02, prior_entropy: 6.6439, recall: 0.02, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, kappa: 0.4848, kb_relative_information_score: 782.2192, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.49, prior_entropy: 6.6439, recall: 0.49, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.101, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.6457, kappa: 0.6471, kb_relative_information_score: 1039.78, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6691, predictive_accuracy: 0.6506, prior_entropy: 6.6439, recall: 0.6506, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7175, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7271, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, kappa: 0.2121, kb_relative_information_score: 349.2764, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1249, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: -0.0038, kb_relative_information_score: 6.53, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, kappa: 0.4154, kb_relative_information_score: 671.9791, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4213, prior_entropy: 6.6439, recall: 0.4213, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1076, root_relative_squared_error: 1.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, kappa: 0.1319, kb_relative_information_score: 221.9992, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1406, prior_entropy: 6.6439, recall: 0.1406, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1311, root_relative_squared_error: 1.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: -0.0038, kb_relative_information_score: 6.53, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.718, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7269, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.6788, kappa: 0.6818, kb_relative_information_score: 1094.9001, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6972, predictive_accuracy: 0.685, prior_entropy: 6.6439, recall: 0.685, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kappa: -0.0095, kb_relative_information_score: -2.4897, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kappa: 0.1534, kb_relative_information_score: 256.0734, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1619, prior_entropy: 6.6439, recall: 0.1619, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1295, root_relative_squared_error: 1.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, kappa: 0.2809, kb_relative_information_score: 458.5142, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2881, prior_entropy: 6.6439, recall: 0.2881, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1193, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, kappa: 0.1566, kb_relative_information_score: 261.0843, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.165, prior_entropy: 6.6439, recall: 0.165, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.5309, kappa: 0.5265, kb_relative_information_score: 848.3632, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5555, predictive_accuracy: 0.5313, prior_entropy: 6.6439, recall: 0.5313, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7035, kappa: 0.7077, kb_relative_information_score: 1135.9895, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7173, predictive_accuracy: 0.7106, prior_entropy: 6.6439, recall: 0.7106, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, kappa: 0.0783, kb_relative_information_score: 136.8137, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0875, prior_entropy: 6.6439, recall: 0.0875, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1351, root_relative_squared_error: 1.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, kappa: 0.1465, kb_relative_information_score: 245.0494, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.155, prior_entropy: 6.6439, recall: 0.155, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, kappa: 0.1477, kb_relative_information_score: 247.0538, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1563, prior_entropy: 6.6439, recall: 0.1563, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1299, root_relative_squared_error: 1.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7059, kappa: 0.7083, kb_relative_information_score: 1136.9917, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7205, predictive_accuracy: 0.7113, prior_entropy: 6.6439, recall: 0.7113, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7638,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs