OpenML
Supervised Classification on analcatdata_michiganacc

Supervised Classification on analcatdata_michiganacc

Task 3637 Supervised Classification analcatdata_michiganacc 453 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

453 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,

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