OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
0 likes downloaded by 22 people , 47 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4580 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2062, kappa: -0.5, kb_relative_information_score: -0.5057, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8459, kappa: 0.78, kb_relative_information_score: 85.6008, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8981, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 112.7927, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8654, kappa: 0.8, kb_relative_information_score: 95.8971, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8829, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2775, kappa: -0.5, kb_relative_information_score: -0.3125, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.3502, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 132.4701, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1661, kb_relative_information_score: 1.0158, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6885, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9601, kappa: 0.94, kb_relative_information_score: 133.6314, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7277, kappa: 0.6, kb_relative_information_score: 77.6404, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7266, predictive_accuracy: 0.7333, prior_entropy: 1.585, recall: 0.7333, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.1491, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, kb_relative_information_score: 3.2436, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 124.1916, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 120.3711, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.4138, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 124.1728, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8796, kappa: 0.82, kb_relative_information_score: 117.8626, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8831, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.6981, kappa: 0.55, kb_relative_information_score: 62.0638, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6973, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 103.129, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9548, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 128.6399, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 127.7145, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9488, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 130.0468, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.9207, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.5666, kappa: 0.51, kb_relative_information_score: 57.1398, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8257, predictive_accuracy: 0.6733, prior_entropy: 1.585, recall: 0.6733, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.6525, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0941, kb_relative_information_score: -0.1377, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 118.3167, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.5451, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 122.8013, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0909, kb_relative_information_score: 0.3375, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8465, kappa: 0.77, kb_relative_information_score: 112.109, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 1.585, recall: 0.8467, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8665, kappa: 0.8, kb_relative_information_score: 56.8607, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.6658, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4647, kappa: 0.24, kb_relative_information_score: 1.1241, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4655, predictive_accuracy: 0.4933, prior_entropy: 1.585, recall: 0.4933, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 120.8283, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.3316, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 118.9626, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 135.4055, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.5064, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, kb_relative_information_score: 2.6762, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.025, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9532, kappa: 0.93, kb_relative_information_score: 104.8875, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9562, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.1487, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.2631, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7379, kappa: 0.61, kb_relative_information_score: 79.1925, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7425, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8995, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6861, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.134, root_relative_squared_error: 0.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1906, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 125.2098, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1287, kb_relative_information_score: 1.823, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.8469, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 135.0386, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.8089, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.7435, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.2238, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.3677, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0935, kappa: -0.12, kb_relative_information_score: -0.6806, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.2533, prior_entropy: 1.585, recall: 0.2533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.86, kappa: 0.79, kb_relative_information_score: 99.9107, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.8727, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.373, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.9458, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7291, kappa: 0.6, kb_relative_information_score: 78.6204, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7265, predictive_accuracy: 0.7333, prior_entropy: 1.585, recall: 0.7333, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.0755, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9131, kappa: 0.87, kb_relative_information_score: 108.6025, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9158, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.0611, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 127.7194, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9282, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.9444, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1095, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 131.5246, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 121.667, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.5596, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.7341, kappa: 0.61, kb_relative_information_score: 67.8053, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7678, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.611, kappa: 0.54, kb_relative_information_score: 30.4583, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8403, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.6824, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.4584, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8932, kappa: 0.84, kb_relative_information_score: 119.2054, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8948, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 123.1287, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.5896, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 123.9355, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9078, kappa: 0.86, kb_relative_information_score: 121.1388, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9178, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 129.6205, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.8664, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.7209, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1344, kb_relative_information_score: 1.9909, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.6216, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.6045, kappa: 0.43, kb_relative_information_score: 55.9148, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6402, predictive_accuracy: 0.62, prior_entropy: 1.585, recall: 0.62, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 127.4098, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9355, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 127.0381, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.6861, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.4599, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2908,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs