OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

12568 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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1704.3516, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2099, recall: 1, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, kb_relative_information_score: 12.0113, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9681, kappa: 0.9302, kb_relative_information_score: 1561.0475, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9691, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9074, kappa: 0.7972, kb_relative_information_score: 1340.239, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9065, predictive_accuracy: 0.9103, prior_entropy: 1.2099, recall: 0.9103, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9949, kb_relative_information_score: 1676.0301, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 1.2099, recall: 0.9977, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9003, kappa: 0.7884, kb_relative_information_score: 1258.2003, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9089, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8818, kappa: 0.7471, kb_relative_information_score: 1225.8285, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8903, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8974, kappa: 0.7844, kb_relative_information_score: 1255.0781, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9077, predictive_accuracy: 0.8958, prior_entropy: 1.2099, recall: 0.8958, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.199, root_relative_squared_error: 0.5886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1623.5814, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9914, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8964, kappa: 0.7796, kb_relative_information_score: 1252.1225, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9069, predictive_accuracy: 0.8929, prior_entropy: 1.2099, recall: 0.8929, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.7641, kappa: 0.5127, kb_relative_information_score: 605.3042, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8265, predictive_accuracy: 0.7367, prior_entropy: 1.2099, recall: 0.7367, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9281, kappa: 0.844, kb_relative_information_score: 1384.7741, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9326, predictive_accuracy: 0.9259, prior_entropy: 1.2099, recall: 0.9259, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9833, kappa: 0.9635, kb_relative_information_score: -808.3483, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9835, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 1.5498, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4099, root_relative_squared_error: 1.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8561, kappa: 0.6932, kb_relative_information_score: 1016.0903, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8634, predictive_accuracy: 0.8611, prior_entropy: 1.2099, recall: 0.8611, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.221, root_relative_squared_error: 0.6537, scimark_benchmark: 1445.2641, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.5768, kb_relative_information_score: 161.9964, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.9173, scimark_benchmark: 1481.6946, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.93, kappa: 0.8493, kb_relative_information_score: 1417.0909, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9326, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4813, scimark_benchmark: 1547.8939, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9276, kappa: 0.8431, kb_relative_information_score: 1420.9858, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9286, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5162, scimark_benchmark: 1440.3819, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 1436.9556, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9413, kappa: 0.8725, kb_relative_information_score: 1481.301, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4661, scimark_benchmark: 1424.3323, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.5768, kb_relative_information_score: 378.9634, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9738, scimark_benchmark: 1477.5016, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9235, kappa: 0.8343, kb_relative_information_score: 1391.0221, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9267, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5448, scimark_benchmark: 1591.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1460.2635, usercpu_time_millis: 3040, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8659, kappa: 0.7159, kb_relative_information_score: 1176.4476, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.871, predictive_accuracy: 0.8727, prior_entropy: 1.2099, recall: 0.8727, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6917, scimark_benchmark: 1369.8404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.5768, kb_relative_information_score: 302.2842, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8746, scimark_benchmark: 1522.8702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9785, kappa: 0.9531, kb_relative_information_score: 1626.5731, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9872, kappa: 0.9722, kb_relative_information_score: -843.4905, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9873, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 1.5657, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.978, kappa: 0.9521, kb_relative_information_score: -876.4694, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 1.5845, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.419, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8171, kappa: 0.6175, kb_relative_information_score: 596.7915, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8326, predictive_accuracy: 0.8102, prior_entropy: 1.2099, recall: 0.8102, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.276, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9757, kappa: 0.9474, kb_relative_information_score: 1615.3346, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9763, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7905, kappa: 0.5651, kb_relative_information_score: 360.089, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8175, predictive_accuracy: 0.7789, prior_entropy: 1.2099, recall: 0.7789, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.971, kappa: 0.9366, kb_relative_information_score: -781.1731, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.971, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 1.5344, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9351, kappa: 0.8599, kb_relative_information_score: 1445.0132, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9431, predictive_accuracy: 0.9323, prior_entropy: 1.2099, recall: 0.9323, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, kappa: 0.762, kb_relative_information_score: -852.8018, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8929, prior_entropy: 1.2099, recall: 0.8929, relative_absolute_error: 1.5587, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9785, kb_relative_information_score: 1671.4843, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.1994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.974, kappa: 0.943, kb_relative_information_score: -718.8812, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 1.5039, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9772, kappa: 0.9505, kb_relative_information_score: -787.3571, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 1.2099, recall: 0.9774, relative_absolute_error: 1.5379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8962, kappa: 0.7805, kb_relative_information_score: 1062.9427, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9112, predictive_accuracy: 0.8912, prior_entropy: 1.2099, recall: 0.8912, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9206, kappa: 0.8303, kb_relative_information_score: 1353.6666, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9306, predictive_accuracy: 0.9172, prior_entropy: 1.2099, recall: 0.9172, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8906, kappa: 0.7708, kb_relative_information_score: -887.8235, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9057, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 1.5873, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, kb_relative_information_score: -899.39, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5875, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9127, kappa: 0.8142, kb_relative_information_score: 1351.8937, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9253, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8302, kappa: 0.6311, kb_relative_information_score: 736.9856, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8348, predictive_accuracy: 0.827, prior_entropy: 1.2099, recall: 0.827, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, kappa: 0.3025, kb_relative_information_score: -936.3492, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7535, prior_entropy: 1.2099, recall: 0.7535, relative_absolute_error: 1.6152, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9326, kappa: 0.8621, kb_relative_information_score: -840.6873, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9398, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.5554, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4115, root_relative_squared_error: 1.2169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9728, kappa: 0.9405, kb_relative_information_score: -778.1524, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 1.5324, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9844, kappa: 0.9659, kb_relative_information_score: -749.5353, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.2099, recall: 0.9844, relative_absolute_error: 1.5192, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4018, root_relative_squared_error: 1.1883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9867, kappa: 0.9709, kb_relative_information_score: -844.9172, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 1.2099, recall: 0.9867, relative_absolute_error: 1.5667, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9076, kappa: 0.8035, kb_relative_information_score: 1351.5291, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9247, predictive_accuracy: 0.9022, prior_entropy: 1.2099, recall: 0.9022, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8715, kappa: 0.7356, kb_relative_information_score: 876.3359, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.902, predictive_accuracy: 0.8634, prior_entropy: 1.2099, recall: 0.8634, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, kappa: 0.332, kb_relative_information_score: -912.3278, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7598, prior_entropy: 1.2099, recall: 0.7598, relative_absolute_error: 1.5974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9611, kappa: 0.9155, kb_relative_information_score: 1564.4846, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9649, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9872, kappa: 0.9723, kb_relative_information_score: -835.347, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9874, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 1.5638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.2232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9148, kappa: 0.8159, kb_relative_information_score: -887.224, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9202, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 1.5863, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.2408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.96, kb_relative_information_score: 1634.0769, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9826, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9168, kappa: 0.8229, kb_relative_information_score: 1323.5443, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.928, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9878, kappa: 0.9735, kb_relative_information_score: -822.9702, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 1.5565, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4117, root_relative_squared_error: 1.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9639, kappa: 0.9218, kb_relative_information_score: 1579.8129, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9676, predictive_accuracy: 0.963, prior_entropy: 1.2099, recall: 0.963, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9134, kappa: 0.8154, kb_relative_information_score: 1283.1014, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9286, predictive_accuracy: 0.9086, prior_entropy: 1.2099, recall: 0.9086, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9722, kappa: 0.9396, kb_relative_information_score: 1591.0714, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9727, predictive_accuracy: 0.9722, prior_entropy: 1.2099, recall: 0.9722, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9214, kappa: 0.8317, kb_relative_information_score: 1367.9453, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9301, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9779, kappa: 0.9517, kb_relative_information_score: -871.2244, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 1.5807, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9733, kappa: 0.9416, kb_relative_information_score: 1598.1493, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9878, kappa: 0.9735, kb_relative_information_score: -826.0644, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2099, recall: 0.9878, relative_absolute_error: 1.5584, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9808, kappa: 0.9582, kb_relative_information_score: -728.0852, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 1.5082, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.1797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9066, kappa: 0.802, kb_relative_information_score: 1285.7002, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.925, predictive_accuracy: 0.901, prior_entropy: 1.2099, recall: 0.901, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9216, kappa: 0.8336, kb_relative_information_score: 1401.5476, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9345, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.967, kappa: 0.9307, kb_relative_information_score: -862.0078, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9693, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 1.5721, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9675, kappa: 0.9291, kb_relative_information_score: -860.4492, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9674, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 1.5726, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9358, kappa: 0.861, kb_relative_information_score: 1449.1073, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9439, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1470.5934, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.979, kappa: 0.9547, kb_relative_information_score: 1625.4971, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 1.2099, recall: 0.9792, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8323, kappa: 0.6252, kb_relative_information_score: -909.0196, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.839, predictive_accuracy: 0.8466, prior_entropy: 1.2099, recall: 0.8466, relative_absolute_error: 1.5983, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9831, kappa: 0.9634, kb_relative_information_score: -801.2351, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9834, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 1.5455, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, kappa: 0.6652, kb_relative_information_score: -887.0404, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 1.5815, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, kappa: 0.3502, kb_relative_information_score: -938.559, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7645, prior_entropy: 1.2099, recall: 0.7645, relative_absolute_error: 1.6167, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9297, kappa: 0.8505, kb_relative_information_score: 1466.4934, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9407, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, kappa: 0.3593, kb_relative_information_score: -917.8315, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.765, prior_entropy: 1.2099, recall: 0.765, relative_absolute_error: 1.6014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8003, kappa: 0.5704, kb_relative_information_score: 610.316, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8092, predictive_accuracy: 0.7946, prior_entropy: 1.2099, recall: 0.7946, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9054, kappa: 0.7928, kb_relative_information_score: 1154.8665, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.901, prior_entropy: 1.2099, recall: 0.901, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5693, scimark_benchmark: 1656.072, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9821, kappa: 0.9612, kb_relative_information_score: -856.2724, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9826, predictive_accuracy: 0.9821, prior_entropy: 1.2099, recall: 0.9821, relative_absolute_error: 1.5757, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9688, kappa: 0.9334, kb_relative_information_score: -791.3048, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9705, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 1.5322, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9073, kappa: 0.802, kb_relative_information_score: 1211.5382, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9039, prior_entropy: 1.2099, recall: 0.9039, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.963, kappa: 0.9202, kb_relative_information_score: 1559.1581, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9631, predictive_accuracy: 0.9635, prior_entropy: 1.2099, recall: 0.9635, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.903, kappa: 0.794, kb_relative_information_score: 1347.2912, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9217, predictive_accuracy: 0.897, prior_entropy: 1.2099, recall: 0.897, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9767, kappa: 0.9492, kb_relative_information_score: 1617.8221, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9767, predictive_accuracy: 0.9769, prior_entropy: 1.2099, recall: 0.9769, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9849, kappa: 0.9672, kb_relative_information_score: -842.6293, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 1.2099, recall: 0.985, relative_absolute_error: 1.5651, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.414, root_relative_squared_error: 1.2243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9462, kappa: 0.8835, kb_relative_information_score: 1338.2231, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9471, predictive_accuracy: 0.9462, prior_entropy: 1.2099, recall: 0.9462, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4698, scimark_benchmark: 1397.8394, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9631, kappa: 0.9204, kb_relative_information_score: 1571.1433, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9661, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9599, kappa: 0.9167, kb_relative_information_score: -853.4597, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.964, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 1.5654, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7489, kappa: 0.5275, kb_relative_information_score: 170.7567, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8481, predictive_accuracy: 0.7274, prior_entropy: 1.2099, recall: 0.7274, relative_absolute_error: 1.0452, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9488, kappa: 0.89, kb_relative_information_score: 1512.7029, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9547, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9678, kappa: 0.9301, kb_relative_information_score: 1571.4949, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9692, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9757, kappa: 0.9468, kb_relative_information_score: -729.1072, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9757, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 1.5081, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9595, kappa: 0.9122, kb_relative_information_score: 1576.0521, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9641, predictive_accuracy: 0.9583, prior_entropy: 1.2099, recall: 0.9583, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8968, kappa: 0.7814, kb_relative_information_score: 1085.0343, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.91, predictive_accuracy: 0.8924, prior_entropy: 1.2099, recall: 0.8924, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9274, kappa: 0.8434, kb_relative_information_score: 1411.1372, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9383, predictive_accuracy: 0.9236, prior_entropy: 1.2099, recall: 0.9236, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9698, kappa: 0.9342, kb_relative_information_score: 1580.3713, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 1.2099, recall: 0.9699, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.961, kappa: 0.9156, kb_relative_information_score: 1563.6294, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9645, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9525, kappa: 0.8968, kb_relative_information_score: 878.4592, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9536, predictive_accuracy: 0.952, prior_entropy: 1.2099, recall: 0.952, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6126, scimark_benchmark: 1414.5757, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9611, kappa: 0.9158, kb_relative_information_score: 1569.8575, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.965, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.3563,

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