OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19119 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

19119 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: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7136, kappa: 0.6739, kb_relative_information_score: 1349.1964, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7766, predictive_accuracy: 0.7065, prior_entropy: 3.3219, recall: 0.7065, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7869, kappa: 0.7722, kb_relative_information_score: 1592.7846, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7933, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8337, kappa: 0.815, kb_relative_information_score: 1599.5696, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8346, kappa: 0.8167, kb_relative_information_score: 21.1752, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.837, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8734, kappa: 0.8589, kb_relative_information_score: 1704.18, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8741, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8544, kappa: 0.8378, kb_relative_information_score: 1661.9372, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8443, kappa: 0.8261, kb_relative_information_score: 32.9058, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8376, kappa: 0.8189, kb_relative_information_score: 1625.7446, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0089, kb_relative_information_score: 134.3686, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.108, prior_entropy: 3.3219, recall: 0.108, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8167, kappa: 0.7944, kb_relative_information_score: 15.9454, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8201, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8304, kappa: 0.8122, kb_relative_information_score: 1613.9115, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8112, kappa: 0.7911, kb_relative_information_score: 1543.2453, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8513, kappa: 0.835, kb_relative_information_score: 1689.6618, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8449, kappa: 0.8272, kb_relative_information_score: 1657.0132, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8457, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8049, kappa: 0.7839, kb_relative_information_score: 1513.3989, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8059, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8278, kappa: 0.8094, kb_relative_information_score: 1598.1843, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7676, kappa: 0.7472, kb_relative_information_score: 1524.646, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.6265, kappa: 0.6256, kb_relative_information_score: 713.0889, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.694, predictive_accuracy: 0.663, prior_entropy: 3.3219, recall: 0.663, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8585, kappa: 0.8428, kb_relative_information_score: 1682.0051, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8592, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, kappa: 0.1211, kb_relative_information_score: 15.7278, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.209, prior_entropy: 3.3219, recall: 0.209, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kappa: 0.0006, kb_relative_information_score: 4.4989, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1541.6714, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.6767, kappa: 0.6206, kb_relative_information_score: 1038.4942, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7587, predictive_accuracy: 0.6585, prior_entropy: 3.3219, recall: 0.6585, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8465, kappa: 0.8294, kb_relative_information_score: 1678.9525, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.5753, kappa: 0.54, kb_relative_information_score: 1042.1411, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.586, prior_entropy: 3.3219, recall: 0.586, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, kappa: 0.35, kb_relative_information_score: 409.607, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.415, prior_entropy: 3.3219, recall: 0.415, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4635, kappa: -0.0011, kb_relative_information_score: 14.6458, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2349, kb_relative_information_score: 8.0677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8108, kappa: 0.7889, kb_relative_information_score: 1604.3847, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8377, kappa: 0.8194, kb_relative_information_score: 58.1256, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8392, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.26, kappa: 0.2006, kb_relative_information_score: 433.2046, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3013, predictive_accuracy: 0.2805, prior_entropy: 3.3219, recall: 0.2805, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8452, kappa: 0.8278, kb_relative_information_score: 1668.5318, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8457, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8271, kappa: 0.8078, kb_relative_information_score: 1576.5399, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 9.7937, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8087, kappa: 0.7889, kb_relative_information_score: 1572.6046, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8085, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0809, kb_relative_information_score: 11.4839, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.7952, kappa: 0.7678, kb_relative_information_score: 1576.1417, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8045, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7564, kappa: 0.7461, kb_relative_information_score: 1176.4116, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7818, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.0726, kappa: 0.0167, kb_relative_information_score: 149.0092, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7305, predictive_accuracy: 0.115, prior_entropy: 3.3219, recall: 0.115, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.839, kappa: 0.8206, kb_relative_information_score: 1614.7863, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8399, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.5323, kappa: 0.4922, kb_relative_information_score: 589.376, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6016, predictive_accuracy: 0.543, prior_entropy: 3.3219, recall: 0.543, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8179, kappa: 0.7989, kb_relative_information_score: 1438.3645, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.7906, kappa: 0.7683, kb_relative_information_score: 1467.64, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7917, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0656, kappa: -0.1083, kb_relative_information_score: -0.2256, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0025, prior_entropy: 3.3219, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.823, kappa: 0.8044, kb_relative_information_score: 1558.9812, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8233, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, kappa: 0.1039, kb_relative_information_score: 65.9274, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8098, kappa: 0.7856, kb_relative_information_score: 1653.435, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8138, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, kb_relative_information_score: 4.4313, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8018, kappa: 0.7794, kb_relative_information_score: 1558.3977, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8039, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.695, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.7408, kappa: 0.7189, kb_relative_information_score: 1475.7483, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7475, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7582, kappa: 0.7494, kb_relative_information_score: 1303.8558, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7752, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8215, kappa: 0.8028, kb_relative_information_score: 1541.2089, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.7868, kappa: 0.7567, kb_relative_information_score: 1469.7661, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8019, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8247, kappa: 0.8056, kb_relative_information_score: 1549.2977, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8258, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.82, kappa: 0.8011, kb_relative_information_score: 1625.6188, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8217, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.832, kappa: 0.8144, kb_relative_information_score: 1658.6209, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8706, kappa: 0.8561, kb_relative_information_score: 1697.4678, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8711, predictive_accuracy: 0.8705, prior_entropy: 3.3219, recall: 0.8705, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.784, kappa: 0.7611, kb_relative_information_score: 1477.4154, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7852, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kb_relative_information_score: 13.1727, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1520.9662, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8152, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8311, kappa: 0.8133, kb_relative_information_score: 1540.4651, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.1013, kappa: 0.0361, kb_relative_information_score: 185.6108, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7161, predictive_accuracy: 0.1325, prior_entropy: 3.3219, recall: 0.1325, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8146, kappa: 0.7933, kb_relative_information_score: 1569.6691, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8027, kappa: 0.78, kb_relative_information_score: 1589.1663, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.804, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8382, kappa: 0.8211, kb_relative_information_score: 1663.2661, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7341, kappa: 0.7039, kb_relative_information_score: 1315.9759, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.741, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8571, kappa: 0.8411, kb_relative_information_score: 1684.887, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.858, predictive_accuracy: 0.857, prior_entropy: 3.3219, recall: 0.857, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, kb_relative_information_score: 6.1677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8041, kappa: 0.7839, kb_relative_information_score: 1577.3331, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8038, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8069, kappa: 0.7856, kb_relative_information_score: 1522.5287, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8081, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8212, kappa: 0.8022, kb_relative_information_score: 1458.4157, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0017, kb_relative_information_score: 4.2783, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.6472, kappa: 0.6172, kb_relative_information_score: 3.3085, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6611, predictive_accuracy: 0.6555, prior_entropy: 3.3219, recall: 0.6555, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.852, kappa: 0.8361, kb_relative_information_score: 1688.3401, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.852, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, kb_relative_information_score: 4.3947, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8283, kappa: 0.8089, kb_relative_information_score: 37.1827, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8416, kappa: 0.8233, kb_relative_information_score: 1619.1767, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8427, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8108, kappa: 0.7889, kb_relative_information_score: 1589.7057, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1768, f_measure: 0.0771, kappa: 0.0017, kb_relative_information_score: 1.0356, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0647, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, kappa: 0.1739, kb_relative_information_score: 313.9589, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.2565, prior_entropy: 3.3219, recall: 0.2565, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8247, kappa: 0.8056, kb_relative_information_score: 1633.9849, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8279, kappa: 0.8083, kb_relative_information_score: 1602.0932, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.3393, kappa: 0.3089, kb_relative_information_score: 386.752, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4125, predictive_accuracy: 0.378, prior_entropy: 3.3219, recall: 0.378, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8392, kappa: 0.8217, kb_relative_information_score: 1616.3607, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8394, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8326, kappa: 0.8133, kb_relative_information_score: 45.6359, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8087, kappa: 0.7872, kb_relative_information_score: 1559.4067, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8106, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.84, kappa: 0.8217, kb_relative_information_score: 45.6237, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8142, kappa: 0.795, kb_relative_information_score: 1473.766, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7748, kappa: 0.7611, kb_relative_information_score: 1621.276, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 5.6966, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8265, kappa: 0.8078, kb_relative_information_score: 1569.6313, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8577, kappa: 0.8417, kb_relative_information_score: 1668.7862, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8581, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.5819, kappa: 0.5944, kb_relative_information_score: 674.9807, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6965, predictive_accuracy: 0.635, prior_entropy: 3.3219, recall: 0.635, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, kb_relative_information_score: 4.231, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8235, kappa: 0.8044, kb_relative_information_score: 1491.8299, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8364, kappa: 0.8172, kb_relative_information_score: 33.1972, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7701, kappa: 0.7372, kb_relative_information_score: 1449.4377, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7862, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,

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