OpenML
Supervised Classification on mbagrade

Supervised Classification on mbagrade

Task 3750 Supervised Classification mbagrade 520 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

520 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.8965, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9861, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 11.9059, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9121, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.9534, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9693, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 8.505, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9563, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6712, kappa: 0.3405, kb_relative_information_score: 11.825, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6718, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9169, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.8965, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9861, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.9534, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9693, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6712, kappa: 0.3405, kb_relative_information_score: 11.8258, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6718, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9097, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6712, kappa: 0.3405, kb_relative_information_score: 11.825, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6718, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9169, scimark_benchmark: 1278.9821, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1339.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4348, f_measure: 0.429, kappa: -0.1321, kb_relative_information_score: -7.2295, mean_absolute_error: 0.5574, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.4303, predictive_accuracy: 0.4426, prior_entropy: 0.9984, recall: 0.4426, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.495, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.8965, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9861, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1357.7543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.9534, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9693, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.9534, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9693, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6712, kappa: 0.3405, kb_relative_information_score: 11.825, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6718, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9169, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 5.9534, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9693, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 8.505, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9563, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.8965, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9861, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.8965, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9861, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 8.505, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9563, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6068, kappa: 0.2137, kb_relative_information_score: 12.5537, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6083, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0171, scimark_benchmark: 1311.9814, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.028, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9698, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6491, kappa: 0.3019, kb_relative_information_score: 8.505, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6604, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9563, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.5969, kappa: 0.2009, kb_relative_information_score: 8.2858, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6091, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.945, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 11.9059, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9121, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 11.9059, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9121, scimark_benchmark: 1342.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6673, kappa: 0.3362, kb_relative_information_score: 19.076, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6758, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.054, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 1318.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6065, kappa: 0.2304, kb_relative_information_score: 12.7596, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6341, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2173, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3064, kb_relative_information_score: -3.2164, mean_absolute_error: 0.5246, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.226, predictive_accuracy: 0.4754, prior_entropy: 0.9984, recall: 0.4754, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7243, root_relative_squared_error: 1.4503, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 12.7478, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9242, scimark_benchmark: 1347.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6749, kappa: 0.3642, kb_relative_information_score: 5.7997, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7114, predictive_accuracy: 0.6885, prior_entropy: 0.9984, recall: 0.6885, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9449, scimark_benchmark: 1350.4702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.6453, kappa: 0.2996, kb_relative_information_score: 7.5007, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6655, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9887, scimark_benchmark: 1360.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.634, kappa: 0.2699, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6414, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 923.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3064, kb_relative_information_score: -3.2164, mean_absolute_error: 0.5246, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.226, predictive_accuracy: 0.4754, prior_entropy: 0.9984, recall: 0.4754, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7243, root_relative_squared_error: 1.4503, scimark_benchmark: 1316.7714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.1594, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9818, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 11.9059, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9121, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6749, kappa: 0.3642, kb_relative_information_score: 5.4547, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7114, predictive_accuracy: 0.6885, prior_entropy: 0.9984, recall: 0.6885, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9487, scimark_benchmark: 1332.6143, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6601, kappa: 0.3319, kb_relative_information_score: 5.3867, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6875, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9514, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6055, kappa: 0.2086, kb_relative_information_score: 14.1298, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6057, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0652, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.6205, kappa: 0.2903, kb_relative_information_score: 11.1353, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7174, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9426, scimark_benchmark: 1330.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.6067, kappa: 0.2577, kb_relative_information_score: 6.2675, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6826, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9718, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6393, kappa: 0.2769, kb_relative_information_score: 11.1444, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6393, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9204, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 11.4929, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9155, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6673, kappa: 0.3362, kb_relative_information_score: 10.1555, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6758, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9188, scimark_benchmark: 1315.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 12.7632, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6553, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9245, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.6143, kappa: 0.2602, kb_relative_information_score: 5.4837, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.668, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9899, scimark_benchmark: 1332.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5656, kappa: 0.1607, kb_relative_information_score: 8.7788, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6002, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.999, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6541, kappa: 0.3064, kb_relative_information_score: 11.4246, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6556, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9154, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5793, kappa: 0.1929, kb_relative_information_score: 5.6222, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6249, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0198, scimark_benchmark: 1325.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6007, kappa: 0.2035, kb_relative_information_score: 11.3853, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6069, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 1373.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.5897, kappa: 0.177, kb_relative_information_score: 14.1482, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5896, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0228, scimark_benchmark: 1316.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6225, kappa: 0.2428, kb_relative_information_score: 13.3648, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6225, predictive_accuracy: 0.623, prior_entropy: 0.9984, recall: 0.623, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9864, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.634, kappa: 0.2699, kb_relative_information_score: 9.4327, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6414, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9319, scimark_benchmark: 1342.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.6205, kappa: 0.2903, kb_relative_information_score: 11.1353, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7174, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9426, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.6261, kappa: 0.2651, kb_relative_information_score: 16.8492, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.65, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2025, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.5058, kappa: 0.0235, kb_relative_information_score: 11.7674, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5134, predictive_accuracy: 0.5082, prior_entropy: 0.9984, recall: 0.5082, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1112, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.6698, kappa: 0.3621, kb_relative_information_score: 7.3567, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7243, predictive_accuracy: 0.6885, prior_entropy: 0.9984, recall: 0.6885, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9393, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.361, kb_relative_information_score: -0.1078, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0012, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.5083, kappa: 0.1774, kb_relative_information_score: 3.1339, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.7102, predictive_accuracy: 0.5738, prior_entropy: 0.9984, recall: 0.5738, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9678, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5121, kappa: 0.0875, kb_relative_information_score: 3.1977, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.5664, predictive_accuracy: 0.5574, prior_entropy: 0.9984, recall: 0.5574, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0142, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 7.2018, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9991, scimark_benchmark: 912.7324,

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