Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 18361 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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18361 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9646, kappa: 0.9607, kb_relative_information_score: 5321.5334, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9648, predictive_accuracy: 0.9646, prior_entropy: 3.3218, recall: 0.9646, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.4945, kappa: 0.4766, kb_relative_information_score: 2927.2646, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.543, predictive_accuracy: 0.5288, prior_entropy: 3.3218, recall: 0.5288, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8987, kappa: 0.8875, kb_relative_information_score: 5067.2414, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.899, predictive_accuracy: 0.8988, prior_entropy: 3.3218, recall: 0.8988, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.129, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.868, kappa: 0.8531, kb_relative_information_score: 4844.1777, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 3.3218, recall: 0.8678, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9076, kappa: 0.8974, kb_relative_information_score: 5110.2701, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9077, predictive_accuracy: 0.9077, prior_entropy: 3.3218, recall: 0.9077, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9018, kappa: 0.8911, kb_relative_information_score: 5070.542, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 3.3218, recall: 0.902, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8942, kappa: 0.8824, kb_relative_information_score: 4993.6146, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8947, predictive_accuracy: 0.8941, prior_entropy: 3.3218, recall: 0.8941, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9033, kappa: 0.8924, kb_relative_information_score: 5058.583, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9034, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8934, kappa: 0.8814, kb_relative_information_score: 4987.1431, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.894, predictive_accuracy: 0.8932, prior_entropy: 3.3218, recall: 0.8932, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.4324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8736, kappa: 0.859, kb_relative_information_score: 4839.0672, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8744, predictive_accuracy: 0.8731, prior_entropy: 3.3218, recall: 0.8731, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8822, kappa: 0.8689, kb_relative_information_score: 4901.1636, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 3.3218, recall: 0.882, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8725, kappa: 0.858, kb_relative_information_score: 4867.1431, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8733, predictive_accuracy: 0.8722, prior_entropy: 3.3218, recall: 0.8722, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.8699, kb_relative_information_score: 4906.9318, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8834, predictive_accuracy: 0.8829, prior_entropy: 3.3218, recall: 0.8829, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8961, kappa: 0.8845, kb_relative_information_score: 5033.8726, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8967, predictive_accuracy: 0.8961, prior_entropy: 3.3218, recall: 0.8961, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8888, kappa: 0.8762, kb_relative_information_score: 4958.2791, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8895, predictive_accuracy: 0.8886, prior_entropy: 3.3218, recall: 0.8886, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8927, kappa: 0.8808, kb_relative_information_score: 5013.4793, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8931, predictive_accuracy: 0.8927, prior_entropy: 3.3218, recall: 0.8927, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.129, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8626, kappa: 0.8472, kb_relative_information_score: 4793.0281, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8629, predictive_accuracy: 0.8625, prior_entropy: 3.3218, recall: 0.8625, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8674, kappa: 0.8523, kb_relative_information_score: 4837.8088, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8685, predictive_accuracy: 0.8671, prior_entropy: 3.3218, recall: 0.8671, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8923, kappa: 0.8804, kb_relative_information_score: 4973.7822, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8926, predictive_accuracy: 0.8923, prior_entropy: 3.3218, recall: 0.8923, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8767, kappa: 0.8628, kb_relative_information_score: 4851.3591, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8772, predictive_accuracy: 0.8765, prior_entropy: 3.3218, recall: 0.8765, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8877, kappa: 0.875, kb_relative_information_score: 4947.6633, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8885, predictive_accuracy: 0.8875, prior_entropy: 3.3218, recall: 0.8875, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8624, kappa: 0.847, kb_relative_information_score: 4791.7401, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8627, predictive_accuracy: 0.8623, prior_entropy: 3.3218, recall: 0.8623, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8784, kappa: 0.8648, kb_relative_information_score: 4881.7638, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 3.3218, recall: 0.8783, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8938, kappa: 0.882, kb_relative_information_score: 4994.1243, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8938, prior_entropy: 3.3218, recall: 0.8938, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8909, kappa: 0.8786, kb_relative_information_score: 4966.3292, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8917, predictive_accuracy: 0.8907, prior_entropy: 3.3218, recall: 0.8907, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.131, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9003, kappa: 0.8891, kb_relative_information_score: 5035.7301, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9005, predictive_accuracy: 0.9002, prior_entropy: 3.3218, recall: 0.9002, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8925, kappa: 0.8804, kb_relative_information_score: 4981.7374, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.893, predictive_accuracy: 0.8923, prior_entropy: 3.3218, recall: 0.8923, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8668, kappa: 0.8515, kb_relative_information_score: 4804.238, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8676, predictive_accuracy: 0.8664, prior_entropy: 3.3218, recall: 0.8664, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.891, kappa: 0.8788, kb_relative_information_score: 4995.4497, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8916, predictive_accuracy: 0.8909, prior_entropy: 3.3218, recall: 0.8909, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8669, kappa: 0.8517, kb_relative_information_score: 4836.1797, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8679, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8896, kappa: 0.8774, kb_relative_information_score: 4955.1697, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8901, predictive_accuracy: 0.8897, prior_entropy: 3.3218, recall: 0.8897, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8721, kappa: 0.8576, kb_relative_information_score: 4862.5327, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.873, predictive_accuracy: 0.8719, prior_entropy: 3.3218, recall: 0.8719, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8777, kappa: 0.8638, kb_relative_information_score: 4894.0708, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8786, predictive_accuracy: 0.8774, prior_entropy: 3.3218, recall: 0.8774, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8779, kappa: 0.8642, kb_relative_information_score: 4877.2505, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8782, predictive_accuracy: 0.8778, prior_entropy: 3.3218, recall: 0.8778, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8902, kappa: 0.8778, kb_relative_information_score: 4992.6365, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 3.3218, recall: 0.89, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8918, kappa: 0.8798, kb_relative_information_score: 5017.6877, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8923, predictive_accuracy: 0.8918, prior_entropy: 3.3218, recall: 0.8918, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.878, kappa: 0.8644, kb_relative_information_score: 4881.3715, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8783, predictive_accuracy: 0.8779, prior_entropy: 3.3218, recall: 0.8779, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8943, kappa: 0.8826, kb_relative_information_score: 5033.2015, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8946, predictive_accuracy: 0.8943, prior_entropy: 3.3218, recall: 0.8943, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9091, kappa: 0.899, kb_relative_information_score: 5109.5847, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9093, predictive_accuracy: 0.9091, prior_entropy: 3.3218, recall: 0.9091, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8626, kappa: 0.8472, kb_relative_information_score: 4793.3715, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8629, predictive_accuracy: 0.8625, prior_entropy: 3.3218, recall: 0.8625, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8669, kappa: 0.8517, kb_relative_information_score: 4837.1359, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8679, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8672, kappa: 0.8519, kb_relative_information_score: 4806.2953, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 3.3218, recall: 0.8667, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8653, kappa: 0.8499, kb_relative_information_score: 4814.6282, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8664, predictive_accuracy: 0.8649, prior_entropy: 3.3218, recall: 0.8649, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.898, kappa: 0.8865, kb_relative_information_score: 5020.4175, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8982, predictive_accuracy: 0.8979, prior_entropy: 3.3218, recall: 0.8979, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.88, kappa: 0.8665, kb_relative_information_score: 4888.8963, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8803, predictive_accuracy: 0.8799, prior_entropy: 3.3218, recall: 0.8799, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.904, kappa: 0.8932, kb_relative_information_score: 5065.3416, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9042, predictive_accuracy: 0.9039, prior_entropy: 3.3218, recall: 0.9039, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8871, kappa: 0.8745, kb_relative_information_score: 4930.4009, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8874, predictive_accuracy: 0.887, prior_entropy: 3.3218, recall: 0.887, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8767, kappa: 0.8628, kb_relative_information_score: 4865.7618, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8772, predictive_accuracy: 0.8765, prior_entropy: 3.3218, recall: 0.8765, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8923, kappa: 0.8802, kb_relative_information_score: 4979.6807, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8927, predictive_accuracy: 0.8922, prior_entropy: 3.3218, recall: 0.8922, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8806, kappa: 0.8671, kb_relative_information_score: 4893.2734, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8809, predictive_accuracy: 0.8804, prior_entropy: 3.3218, recall: 0.8804, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.89, kappa: 0.8776, kb_relative_information_score: 4962.3775, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8907, predictive_accuracy: 0.8899, prior_entropy: 3.3218, recall: 0.8899, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8929, kappa: 0.881, kb_relative_information_score: 4988.5374, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8933, predictive_accuracy: 0.8929, prior_entropy: 3.3218, recall: 0.8929, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9107, kappa: 0.9007, kb_relative_information_score: 5107.5514, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9108, predictive_accuracy: 0.9107, prior_entropy: 3.3218, recall: 0.9107, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.867, kappa: 0.8517, kb_relative_information_score: 4806.2059, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8677, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9051, kappa: 0.8944, kb_relative_information_score: 5074.6772, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9053, predictive_accuracy: 0.905, prior_entropy: 3.3218, recall: 0.905, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8667, kappa: 0.8515, kb_relative_information_score: 4836.704, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8678, predictive_accuracy: 0.8664, prior_entropy: 3.3218, recall: 0.8664, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.874, kappa: 0.8598, kb_relative_information_score: 4874.9368, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8748, predictive_accuracy: 0.8738, prior_entropy: 3.3218, recall: 0.8738, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9007, kappa: 0.8899, kb_relative_information_score: 5073.8386, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9012, predictive_accuracy: 0.9009, prior_entropy: 3.3218, recall: 0.9009, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8643, kappa: 0.849, kb_relative_information_score: 4810.9187, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8654, predictive_accuracy: 0.8641, prior_entropy: 3.3218, recall: 0.8641, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8865, kappa: 0.8737, kb_relative_information_score: 4944.773, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8873, predictive_accuracy: 0.8863, prior_entropy: 3.3218, recall: 0.8863, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8626, kappa: 0.8472, kb_relative_information_score: 4793.2195, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8629, predictive_accuracy: 0.8625, prior_entropy: 3.3218, recall: 0.8625, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.902, kappa: 0.8911, kb_relative_information_score: 5063.8496, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9024, predictive_accuracy: 0.902, prior_entropy: 3.3218, recall: 0.902, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8721, kappa: 0.8576, kb_relative_information_score: 4864.6767, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8729, predictive_accuracy: 0.8719, prior_entropy: 3.3218, recall: 0.8719, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9086, kappa: 0.8984, kb_relative_information_score: 5114.9441, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9088, predictive_accuracy: 0.9085, prior_entropy: 3.3218, recall: 0.9085, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8866, kappa: 0.8739, kb_relative_information_score: 4971.0206, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8871, predictive_accuracy: 0.8865, prior_entropy: 3.3218, recall: 0.8865, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8677, kappa: 0.8527, kb_relative_information_score: 4843.8552, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8684, predictive_accuracy: 0.8674, prior_entropy: 3.3218, recall: 0.8674, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8726, kappa: 0.8582, kb_relative_information_score: 4867.4562, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8734, predictive_accuracy: 0.8724, prior_entropy: 3.3218, recall: 0.8724, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8982, kappa: 0.8869, kb_relative_information_score: 5051.6991, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8985, predictive_accuracy: 0.8982, prior_entropy: 3.3218, recall: 0.8982, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9044, kappa: 0.8938, kb_relative_information_score: 5084.5418, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9045, predictive_accuracy: 0.9044, prior_entropy: 3.3218, recall: 0.9044, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8911, kappa: 0.879, kb_relative_information_score: 5005.7249, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8914, predictive_accuracy: 0.8911, prior_entropy: 3.3218, recall: 0.8911, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8679, kappa: 0.8529, kb_relative_information_score: 4842.905, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8687, predictive_accuracy: 0.8676, prior_entropy: 3.3218, recall: 0.8676, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8902, kappa: 0.8778, kb_relative_information_score: 4963.7784, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8909, predictive_accuracy: 0.89, prior_entropy: 3.3218, recall: 0.89, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8918, kappa: 0.8798, kb_relative_information_score: 4986.8354, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8922, predictive_accuracy: 0.8918, prior_entropy: 3.3218, recall: 0.8918, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8874, kappa: 0.8747, kb_relative_information_score: 4947.6456, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8882, predictive_accuracy: 0.8872, prior_entropy: 3.3218, recall: 0.8872, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8721, kappa: 0.8576, kb_relative_information_score: 4863.7824, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8729, predictive_accuracy: 0.8719, prior_entropy: 3.3218, recall: 0.8719, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9021, kappa: 0.8911, kb_relative_information_score: 5042.709, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9023, predictive_accuracy: 0.902, prior_entropy: 3.3218, recall: 0.902, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8923, kappa: 0.8804, kb_relative_information_score: 4978.5232, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8927, predictive_accuracy: 0.8923, prior_entropy: 3.3218, recall: 0.8923, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.129, root_relative_squared_error: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8672, kappa: 0.8521, kb_relative_information_score: 4837.145, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8682, predictive_accuracy: 0.8669, prior_entropy: 3.3218, recall: 0.8669, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8781, kappa: 0.8644, kb_relative_information_score: 4880.8181, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8784, predictive_accuracy: 0.8779, prior_entropy: 3.3218, recall: 0.8779, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8766, kappa: 0.8626, kb_relative_information_score: 4893.0888, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8775, predictive_accuracy: 0.8763, prior_entropy: 3.3218, recall: 0.8763, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8677, kappa: 0.8527, kb_relative_information_score: 4832.6816, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8686, predictive_accuracy: 0.8674, prior_entropy: 3.3218, recall: 0.8674, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8721, kappa: 0.8576, kb_relative_information_score: 4863.6333, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8728, predictive_accuracy: 0.8719, prior_entropy: 3.3218, recall: 0.8719, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9051, kappa: 0.8944, kb_relative_information_score: 5083.639, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9054, predictive_accuracy: 0.905, prior_entropy: 3.3218, recall: 0.905, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8752, kappa: 0.8612, kb_relative_information_score: 4876.7547, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8761, predictive_accuracy: 0.8751, prior_entropy: 3.3218, recall: 0.8751, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9038, kappa: 0.8932, kb_relative_information_score: 5076.2923, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9039, predictive_accuracy: 0.9039, prior_entropy: 3.3218, recall: 0.9039, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9052, kappa: 0.8946, kb_relative_information_score: 5092.5414, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9054, predictive_accuracy: 0.9052, prior_entropy: 3.3218, recall: 0.9052, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8889, kappa: 0.8764, kb_relative_information_score: 4960.118, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8896, predictive_accuracy: 0.8888, prior_entropy: 3.3218, recall: 0.8888, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9008, kappa: 0.8897, kb_relative_information_score: 5035.8223, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9009, predictive_accuracy: 0.9007, prior_entropy: 3.3218, recall: 0.9007, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.127, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8834, kappa: 0.8703, kb_relative_information_score: 4905.5254, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8837, predictive_accuracy: 0.8833, prior_entropy: 3.3218, recall: 0.8833, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.882, kappa: 0.8685, kb_relative_information_score: 4914.8244, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8831, predictive_accuracy: 0.8817, prior_entropy: 3.3218, recall: 0.8817, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9048, kappa: 0.8942, kb_relative_information_score: 5068.5697, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.905, predictive_accuracy: 0.9048, prior_entropy: 3.3218, recall: 0.9048, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8725, kappa: 0.858, kb_relative_information_score: 4865.0249, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8733, predictive_accuracy: 0.8722, prior_entropy: 3.3218, recall: 0.8722, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8767, kappa: 0.8628, kb_relative_information_score: 4863.253, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8771, predictive_accuracy: 0.8765, prior_entropy: 3.3218, recall: 0.8765, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8945, kappa: 0.8828, kb_relative_information_score: 5011.0834, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.895, predictive_accuracy: 0.8945, prior_entropy: 3.3218, recall: 0.8945, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8723, kappa: 0.8578, kb_relative_information_score: 4861.9159, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8731, predictive_accuracy: 0.8721, prior_entropy: 3.3218, recall: 0.8721, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8763, kappa: 0.8624, kb_relative_information_score: 4864.5069, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8767, predictive_accuracy: 0.8762, prior_entropy: 3.3218, recall: 0.8762, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9091, kappa: 0.899, kb_relative_information_score: 5109.6924, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9092, predictive_accuracy: 0.9091, prior_entropy: 3.3218, recall: 0.9091, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.888, kappa: 0.8754, kb_relative_information_score: 4933.1891, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8883, predictive_accuracy: 0.8879, prior_entropy: 3.3218, recall: 0.8879, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.441,

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