Task
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: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1302.826, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8557, kappa: 0.7078, kb_relative_information_score: 883.5904, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8429, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6723, scimark_benchmark: 1344.5104, usercpu_time_millis: 540, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.5768, kb_relative_information_score: 660.1156, mean_absolute_error: 0.1378, 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: 0.6017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7892, scimark_benchmark: 1475.179, usercpu_time_millis: 780, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9368, kappa: 0.8621, kb_relative_information_score: 1493.9384, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9375, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4582, scimark_benchmark: 1220.3368, usercpu_time_millis: 790, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8384, kappa: 0.6458, kb_relative_information_score: 1229.2951, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8353, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6693, scimark_benchmark: 1444.6496, usercpu_time_millis: 920, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.971, kappa: 0.9371, kb_relative_information_score: 1436.201, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9713, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3886, scimark_benchmark: 1659.1146, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, 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: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1490.6891, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, 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: 1436.2541, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9333, kappa: 0.8564, kb_relative_information_score: 1295.451, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5002, scimark_benchmark: 1500.0446, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.577, kappa: 0.0009, kb_relative_information_score: 390.8832, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4906, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8625, scimark_benchmark: 1464.8748, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 1432.9214, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1551.8979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1344.8437, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.961, kappa: 0.9149, kb_relative_information_score: 1560.6603, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3746, scimark_benchmark: 1345.355, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, 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: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 1384.4975, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, 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: 1337.9939, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 1400.4796, usercpu_time_millis: 2030, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, 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: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1425.9713, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8499, kappa: 0.6735, kb_relative_information_score: 1016.9805, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8538, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6684, scimark_benchmark: 1669.6978, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, 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: 1627.8032, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9902, kappa: 0.9786, kb_relative_information_score: 1684.6058, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9904, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1966, scimark_benchmark: 1486.345, usercpu_time_millis: 31900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 31870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, 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: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 1471.1304, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 1416.3206, usercpu_time_millis: 1870, usercpu_time_millis_testing: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 1414.9212, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 1517.8498, usercpu_time_millis: 3180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8388, kappa: 0.6541, kb_relative_information_score: 995.9336, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.844, predictive_accuracy: 0.8501, prior_entropy: 1.2099, recall: 0.8501, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6738, scimark_benchmark: 1676.564, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9348, kappa: 0.8588, kb_relative_information_score: 1274.0518, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5107, scimark_benchmark: 1415.6895, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1509.7388, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8557, kappa: 0.7078, kb_relative_information_score: 883.5904, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8429, predictive_accuracy: 0.8785, prior_entropy: 1.2099, recall: 0.8785, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6723, scimark_benchmark: 1286.1258, usercpu_time_millis: 3340, usercpu_time_millis_testing: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.5768, kb_relative_information_score: 660.1156, mean_absolute_error: 0.1378, 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: 0.6017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7892, scimark_benchmark: 1258.072, usercpu_time_millis: 1290, usercpu_time_millis_testing: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9368, kappa: 0.8621, kb_relative_information_score: 1493.9384, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9375, predictive_accuracy: 0.9363, prior_entropy: 1.2099, recall: 0.9363, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4582, scimark_benchmark: 1271.3579, usercpu_time_millis: 4730, usercpu_time_millis_testing: 4730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8384, kappa: 0.6458, kb_relative_information_score: 1229.2951, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8353, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6693, scimark_benchmark: 1225.089, usercpu_time_millis: 3310, usercpu_time_millis_testing: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.971, kappa: 0.9371, kb_relative_information_score: 1436.201, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9713, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3886, scimark_benchmark: 1283.6681, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, 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: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1277.7316, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.577, kappa: 0.0009, kb_relative_information_score: 390.8832, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4906, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8625, scimark_benchmark: 1354.2662, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1347.3633, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.961, kappa: 0.9149, kb_relative_information_score: 1560.6603, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3746, scimark_benchmark: 1308.5858, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, 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: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 1259.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1369.1683, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, 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: 1352.5653, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 1321.376, usercpu_time_millis: 3660, usercpu_time_millis_training: 3660,
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: 1338.5435, usercpu_time_millis: 570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 1395.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.7485, kb_relative_information_score: 1303.7491, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728, scimark_benchmark: 1295.6497, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1262.0604, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9322, kappa: 0.8525, kb_relative_information_score: 1429.5074, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4509, scimark_benchmark: 1317.8913, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
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: 1352.798, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 1372.5671, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1377.7703, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9322, kappa: 0.8525, kb_relative_information_score: 1429.5074, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9317, prior_entropy: 1.2099, recall: 0.9317, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4509, scimark_benchmark: 1359.0144, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1406.4017, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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: 1415.462, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1499.0017, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, 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: 1277.3585, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1469.9969, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, 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: 1366.072, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, 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: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1379.2903, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8499, kappa: 0.6735, kb_relative_information_score: 1016.9805, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8538, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6684, scimark_benchmark: 1396.574, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, 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: 1331.0703, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9902, kappa: 0.9786, kb_relative_information_score: 1684.6058, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9904, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1966, scimark_benchmark: 1334.5379, usercpu_time_millis: 34990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 34960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, 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: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 1935.2324, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 1376.373, usercpu_time_millis: 1940, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 1957.6953, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 1401.1359, usercpu_time_millis: 3360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1235.4382, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9053, kappa: 0.8012, kb_relative_information_score: 1127.0336, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9097, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5959, scimark_benchmark: 1283.8324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 1291.9822, usercpu_time_millis: 1960, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 1500,
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: 1263.4207, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 1288.9408, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, 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: 1293.6326, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 367.9153, mean_absolute_error: 0.1572, 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: 0.6865, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9332, scimark_benchmark: 1272.1802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1349.2423, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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: 1290.6618, usercpu_time_millis: 4230, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8979, kappa: 0.777, kb_relative_information_score: 1313.6293, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8978, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5647, scimark_benchmark: 1209.4207, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 1294.7196, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1348.9031, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: 1583.3912, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2795, scimark_benchmark: 1343.8255, usercpu_time_millis: 34900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 34870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.5768, kb_relative_information_score: 660.5075, mean_absolute_error: 0.1378, 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: 0.6018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.7889, scimark_benchmark: 1832.0601, usercpu_time_millis: 9920, usercpu_time_millis_testing: 9910, usercpu_time_millis_training: 10,
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: 1300.1464, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, 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: 1168.0662, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9333, kappa: 0.8564, kb_relative_information_score: 1295.451, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5002, scimark_benchmark: 1235.3684, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, 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: 1205.8808, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1252.1888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1307.5178, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
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: 1316.0668, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
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: 1362.8625, usercpu_time_millis: 2240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2230,
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: 1377.8947, 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: 1346.6354, 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: 1303.9142, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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: 1316.5437, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1312.8509, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1225.6632, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 367.9153, mean_absolute_error: 0.1572, 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: 0.6865, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9332, scimark_benchmark: 1359.2326, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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: 1356.0562, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1337.1197, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1849.0659, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1313.6872, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1353.7615, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1250.3453, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1459.1435, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,

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