OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9959, kappa: 0.9956, kb_relative_information_score: 985.841, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.4594, recall: 0.996, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8302, kappa: 0.8156, kb_relative_information_score: 817.4019, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8332, predictive_accuracy: 0.8323, prior_entropy: 3.4594, recall: 0.8323, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9908, kappa: 0.99, kb_relative_information_score: 980.6423, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 3.4594, recall: 0.9909, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.1414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9118, kappa: 0.9033, kb_relative_information_score: 899.542, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9153, predictive_accuracy: 0.9121, prior_entropy: 3.4594, recall: 0.9121, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8829, kappa: 0.8722, kb_relative_information_score: 870.429, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8841, predictive_accuracy: 0.8838, prior_entropy: 3.4594, recall: 0.8838, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.5055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9461, kappa: 0.9411, kb_relative_information_score: 934.8934, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 3.4594, recall: 0.9465, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.806, kappa: 0.7322, kb_relative_information_score: 739.4209, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9325, predictive_accuracy: 0.7566, prior_entropy: 3.4594, recall: 0.7566, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9908, kappa: 0.99, kb_relative_information_score: 980.6423, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 3.4594, recall: 0.9909, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.1414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.0919, kappa: 0.01, kb_relative_information_score: 63.585, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0957, predictive_accuracy: 0.1, prior_entropy: 3.4594, recall: 0.1, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.5141, kappa: 0.4833, kb_relative_information_score: 506.5174, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5224, predictive_accuracy: 0.5303, prior_entropy: 3.4594, recall: 0.5303, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2922, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6835, kappa: 0.6578, kb_relative_information_score: 669.7578, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6932, predictive_accuracy: 0.6889, prior_entropy: 3.4594, recall: 0.6889, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9062, kappa: 0.8978, kb_relative_information_score: 894.3432, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9075, predictive_accuracy: 0.9071, prior_entropy: 3.4594, recall: 0.9071, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9848, kappa: 0.9833, kb_relative_information_score: 974.4038, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 3.4594, recall: 0.9848, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.2893, kappa: 0.2767, kb_relative_information_score: 313.1244, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2822, predictive_accuracy: 0.3424, prior_entropy: 3.4594, recall: 0.3424, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3458, root_relative_squared_error: 1.2028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8782, kappa: 0.8667, kb_relative_information_score: 865.2303, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8805, predictive_accuracy: 0.8788, prior_entropy: 3.4594, recall: 0.8788, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7048, kappa: 0.68, kb_relative_information_score: 690.5527, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7229, predictive_accuracy: 0.7091, prior_entropy: 3.4594, recall: 0.7091, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.23, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9239, kappa: 0.9167, kb_relative_information_score: 912.0189, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 3.4594, recall: 0.9242, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9837, kappa: 0.9822, kb_relative_information_score: 973.364, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9841, predictive_accuracy: 0.9838, prior_entropy: 3.4594, recall: 0.9838, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8293, kappa: 0.7656, kb_relative_information_score: 770.6133, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9351, predictive_accuracy: 0.7869, prior_entropy: 3.4594, recall: 0.7869, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, kappa: -0.1, kb_relative_information_score: -39.35, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1653, number_of_instances: 990, prior_entropy: 3.4594, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.4197, kappa: 0.3933, kb_relative_information_score: 422.2979, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4316, predictive_accuracy: 0.4485, prior_entropy: 3.4594, recall: 0.4485, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3167, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 982.7218, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.4259, kappa: 0.3989, kb_relative_information_score: 427.4966, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4399, predictive_accuracy: 0.4535, prior_entropy: 3.4594, recall: 0.4535, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 982.7218, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.938, kappa: 0.9322, kb_relative_information_score: 926.5754, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 3.4594, recall: 0.9384, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.1477, kappa: 0.0656, kb_relative_information_score: 115.5724, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1514, predictive_accuracy: 0.1505, prior_entropy: 3.4594, recall: 0.1505, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.393, root_relative_squared_error: 1.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8891, kappa: 0.8789, kb_relative_information_score: 876.6675, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8941, predictive_accuracy: 0.8899, prior_entropy: 3.4594, recall: 0.8899, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.6872, kappa: 0.6522, kb_relative_information_score: 664.5591, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6981, predictive_accuracy: 0.6838, prior_entropy: 3.4594, recall: 0.6838, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.1269, kappa: 0.0544, kb_relative_information_score: 105.1749, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1416, predictive_accuracy: 0.1404, prior_entropy: 3.4594, recall: 0.1404, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.6248, kappa: 0.5944, kb_relative_information_score: 610.4922, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6362, predictive_accuracy: 0.6313, prior_entropy: 3.4594, recall: 0.6313, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.4209, kappa: 0.3944, kb_relative_information_score: 423.3376, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4335, predictive_accuracy: 0.4495, prior_entropy: 3.4594, recall: 0.4495, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3164, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 984.8013, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.4222, kappa: 0.3956, kb_relative_information_score: 424.3774, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4348, predictive_accuracy: 0.4505, prior_entropy: 3.4594, recall: 0.4505, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3161, root_relative_squared_error: 1.0995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.4336, kappa: 0.4056, kb_relative_information_score: 433.7351, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.445, predictive_accuracy: 0.4596, prior_entropy: 3.4594, recall: 0.4596, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5918, kappa: 0.5533, kb_relative_information_score: 572.0215, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6102, predictive_accuracy: 0.5939, prior_entropy: 3.4594, recall: 0.5939, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.1254, kappa: 0.0644, kb_relative_information_score: 114.5327, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1643, predictive_accuracy: 0.1495, prior_entropy: 3.4594, recall: 0.1495, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9939, kappa: 0.9933, kb_relative_information_score: 983.7615, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 3.4594, recall: 0.9939, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 959.8473, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.1096, kappa: 0.03, kb_relative_information_score: 82.3005, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.115, predictive_accuracy: 0.1182, prior_entropy: 3.4594, recall: 0.1182, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.4327, kappa: 0.4056, kb_relative_information_score: 433.7351, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4466, predictive_accuracy: 0.4596, prior_entropy: 3.4594, recall: 0.4596, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.3179, kappa: 0.2544, kb_relative_information_score: 292.3295, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3662, predictive_accuracy: 0.3222, prior_entropy: 3.4594, recall: 0.3222, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.351, root_relative_squared_error: 1.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9339, kappa: 0.9278, kb_relative_information_score: 922.4164, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9343, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9242, kappa: 0.9167, kb_relative_information_score: 912.0189, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9254, predictive_accuracy: 0.9242, prior_entropy: 3.4594, recall: 0.9242, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 982.7218, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.6192, kappa: 0.5756, kb_relative_information_score: 592.8165, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6306, predictive_accuracy: 0.6141, prior_entropy: 3.4594, recall: 0.6141, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9898, kappa: 0.9889, kb_relative_information_score: 979.6025, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 3.4594, recall: 0.9899, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.4209, kappa: 0.3944, kb_relative_information_score: 423.3376, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4335, predictive_accuracy: 0.4495, prior_entropy: 3.4594, recall: 0.4495, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3164, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0853, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0898, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.45, kappa: -0.1, kb_relative_information_score: -39.35, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1653, number_of_instances: 990, prior_entropy: 3.4594, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.1347, kappa: 0.0522, kb_relative_information_score: 103.0954, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1391, predictive_accuracy: 0.1384, prior_entropy: 3.4594, recall: 0.1384, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.2055, kappa: 0.1278, kb_relative_information_score: 173.7983, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2239, predictive_accuracy: 0.2071, prior_entropy: 3.4594, recall: 0.2071, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.1107, kappa: 0.05, kb_relative_information_score: 101.0159, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1369, predictive_accuracy: 0.1364, prior_entropy: 3.4594, recall: 0.1364, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.1166, kappa: 0.05, kb_relative_information_score: 101.0159, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1284, predictive_accuracy: 0.1364, prior_entropy: 3.4594, recall: 0.1364, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.1768, kappa: 0.1167, kb_relative_information_score: 163.4008, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2111, predictive_accuracy: 0.197, prior_entropy: 3.4594, recall: 0.197, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3821, root_relative_squared_error: 1.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9315, kappa: 0.9256, kb_relative_information_score: 920.3369, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9319, predictive_accuracy: 0.9323, prior_entropy: 3.4594, recall: 0.9323, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.1785, kappa: 0.1222, kb_relative_information_score: 168.5995, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1888, predictive_accuracy: 0.202, prior_entropy: 3.4594, recall: 0.202, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8873, kappa: 0.8522, kb_relative_information_score: 851.7136, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9418, predictive_accuracy: 0.8657, prior_entropy: 3.4594, recall: 0.8657, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.5019, kappa: 0.4711, kb_relative_information_score: 495.0802, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.514, predictive_accuracy: 0.5192, prior_entropy: 3.4594, recall: 0.5192, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.874, kappa: 0.8622, kb_relative_information_score: 861.0713, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8751, predictive_accuracy: 0.8747, prior_entropy: 3.4594, recall: 0.8747, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.997, kappa: 0.9967, kb_relative_information_score: 986.8808, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 3.4594, recall: 0.997, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.4209, kappa: 0.3944, kb_relative_information_score: 423.3376, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4335, predictive_accuracy: 0.4495, prior_entropy: 3.4594, recall: 0.4495, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3164, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9685, kappa: 0.9656, kb_relative_information_score: 957.7678, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 3.4594, recall: 0.9687, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.6676, kappa: 0.6411, kb_relative_information_score: 654.1616, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6784, predictive_accuracy: 0.6737, prior_entropy: 3.4594, recall: 0.6737, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.4251, kappa: 0.3978, kb_relative_information_score: 426.4569, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4393, predictive_accuracy: 0.4525, prior_entropy: 3.4594, recall: 0.4525, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.0783, kappa: -0.0167, kb_relative_information_score: 38.6311, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0915, predictive_accuracy: 0.0758, prior_entropy: 3.4594, recall: 0.0758, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9839, kappa: 0.9822, kb_relative_information_score: 973.364, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9843, predictive_accuracy: 0.9838, prior_entropy: 3.4594, recall: 0.9838, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4544, kappa: -0.0911, kb_relative_information_score: -31.032, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0081, prior_entropy: 3.4594, recall: 0.0081, relative_absolute_error: 1.0911, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 984.8013, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.6626, kappa: 0.6267, kb_relative_information_score: 640.6449, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6684, predictive_accuracy: 0.6606, prior_entropy: 3.4594, recall: 0.6606, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8045, kappa: 0.7867, kb_relative_information_score: 790.3685, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8083, predictive_accuracy: 0.8061, prior_entropy: 3.4594, recall: 0.8061, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.4209, kappa: 0.3944, kb_relative_information_score: 423.3376, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4335, predictive_accuracy: 0.4495, prior_entropy: 3.4594, recall: 0.4495, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3164, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8375, kappa: 0.8222, kb_relative_information_score: 823.6404, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8402, predictive_accuracy: 0.8384, prior_entropy: 3.4594, recall: 0.8384, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.4172, kappa: 0.3922, kb_relative_information_score: 421.2582, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4278, predictive_accuracy: 0.4475, prior_entropy: 3.4594, recall: 0.4475, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.317, root_relative_squared_error: 1.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0983, kappa: 0.02, kb_relative_information_score: 72.9428, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1156, predictive_accuracy: 0.1091, prior_entropy: 3.4594, recall: 0.1091, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9898, kappa: 0.9889, kb_relative_information_score: 979.6025, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 3.4594, recall: 0.9899, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9425, kappa: 0.9367, kb_relative_information_score: 930.7344, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9467, predictive_accuracy: 0.9424, prior_entropy: 3.4594, recall: 0.9424, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7039, kappa: 0.6789, kb_relative_information_score: 689.513, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7146, predictive_accuracy: 0.7081, prior_entropy: 3.4594, recall: 0.7081, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.1838, kappa: 0.1178, kb_relative_information_score: 164.4405, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.225, predictive_accuracy: 0.198, prior_entropy: 3.4594, recall: 0.198, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.1545, kappa: 0.0711, kb_relative_information_score: 120.7711, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1617, predictive_accuracy: 0.1556, prior_entropy: 3.4594, recall: 0.1556, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.1185, kappa: 0.0344, kb_relative_information_score: 86.4595, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1289, predictive_accuracy: 0.1222, prior_entropy: 3.4594, recall: 0.1222, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9839, kappa: 0.9822, kb_relative_information_score: 973.364, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 3.4594, recall: 0.9838, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.094, kappa: 0.0089, kb_relative_information_score: 62.5453, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1019, predictive_accuracy: 0.099, prior_entropy: 3.4594, recall: 0.099, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9939, kappa: 0.9933, kb_relative_information_score: 983.7615, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 3.4594, recall: 0.9939, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.4172, kappa: 0.3933, kb_relative_information_score: 422.2979, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4265, predictive_accuracy: 0.4485, prior_entropy: 3.4594, recall: 0.4485, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3167, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7004, kappa: 0.6756, kb_relative_information_score: 686.3937, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7107, predictive_accuracy: 0.7051, prior_entropy: 3.4594, recall: 0.7051, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4506, kappa: -0.0989, kb_relative_information_score: -38.3102, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.001, prior_entropy: 3.4594, recall: 0.001, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.4419, kappa: 0.4167, kb_relative_information_score: 444.1326, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4501, predictive_accuracy: 0.4697, prior_entropy: 3.4594, recall: 0.4697, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.1543, kappa: 0.0811, kb_relative_information_score: 130.1289, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.156, predictive_accuracy: 0.1646, prior_entropy: 3.4594, recall: 0.1646, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8924, kappa: 0.8822, kb_relative_information_score: 879.7868, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8938, predictive_accuracy: 0.8929, prior_entropy: 3.4594, recall: 0.8929, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.4312, kappa: 0.4078, kb_relative_information_score: 435.8146, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4381, predictive_accuracy: 0.4616, prior_entropy: 3.4594, recall: 0.4616, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.4259, kappa: 0.3989, kb_relative_information_score: 427.4966, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4413, predictive_accuracy: 0.4535, prior_entropy: 3.4594, recall: 0.4535, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9575, kappa: 0.95, kb_relative_information_score: 943.2114, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9663, predictive_accuracy: 0.9545, prior_entropy: 3.4594, recall: 0.9545, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, kappa: -0.0956, kb_relative_information_score: -35.191, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.004, prior_entropy: 3.4594, recall: 0.004, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4255, root_relative_squared_error: 1.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.117, kappa: 0.0356, kb_relative_information_score: 87.4992, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1249, predictive_accuracy: 0.1232, prior_entropy: 3.4594, recall: 0.1232, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7534, kappa: 0.7311, kb_relative_information_score: 738.3811, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7647, predictive_accuracy: 0.7556, prior_entropy: 3.4594, recall: 0.7556, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.4197, kappa: 0.3933, kb_relative_information_score: 422.2979, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4316, predictive_accuracy: 0.4485, prior_entropy: 3.4594, recall: 0.4485, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3167, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 982.7218, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 3.4594, recall: 0.9929, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1247,

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

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

OpenML APIs