OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24074 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: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7677, kappa: 0.7417, kb_relative_information_score: 0.7569, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7757, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.7979, kappa: 0.775, kb_relative_information_score: 0.7882, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8031, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8452, kappa: 0.8272, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8562, kappa: 0.8406, kb_relative_information_score: 0.8499, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8569, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6675, kappa: 0.6328, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7003, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6675, kappa: 0.6328, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7003, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6675, kappa: 0.6328, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7003, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6675, kappa: 0.6328, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7003, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6675, kappa: 0.6328, kb_relative_information_score: 0.6544, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7003, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8346, kappa: 0.8156, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8364, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.1157, kappa: -0.0283, kb_relative_information_score: 0.0322, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5757, predictive_accuracy: 0.0745, prior_entropy: 3.3219, recall: 0.0745, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8326, kappa: 0.815, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7725, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8374, kappa: 0.8189, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8389, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.762, kappa: 0.7356, kb_relative_information_score: 0.7511, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7707, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8276, kappa: 0.8094, kb_relative_information_score: 0.8207, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8294, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8126, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.1157, kappa: -0.0283, kb_relative_information_score: 0.0322, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5757, predictive_accuracy: 0.0745, prior_entropy: 3.3219, recall: 0.0745, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7665, kappa: 0.74, kb_relative_information_score: 0.7553, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7749, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8204, kappa: 0.8017, kb_relative_information_score: 0.8133, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8219, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7589, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7835, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8204, kappa: 0.8017, kb_relative_information_score: 0.8133, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8219, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7665, kappa: 0.74, kb_relative_information_score: 0.7553, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7749, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7725, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.1157, kappa: -0.0283, kb_relative_information_score: 0.0322, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5757, predictive_accuracy: 0.0745, prior_entropy: 3.3219, recall: 0.0745, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8465, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8477, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8476, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8427, kappa: 0.8256, kb_relative_information_score: 0.8358, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8504, kappa: 0.8344, kb_relative_information_score: 0.8442, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.851, prior_entropy: 3.3219, recall: 0.851, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8126, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7589, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7835, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7665, kappa: 0.74, kb_relative_information_score: 0.7553, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7749, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7721, kappa: 0.7461, kb_relative_information_score: 0.761, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7796, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7721, kappa: 0.7461, kb_relative_information_score: 0.761, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7796, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8462, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8475, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8522, kappa: 0.835, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7725, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7725, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6816, kappa: 0.6294, kb_relative_information_score: 0.6512, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.6665, prior_entropy: 3.3219, recall: 0.6665, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.8328, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8486, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7886, kappa: 0.7633, kb_relative_information_score: 0.7773, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7949, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8462, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8475, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8034, kappa: 0.7817, kb_relative_information_score: 0.7945, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kappa: -0.015, kb_relative_information_score: 0.0447, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0865, prior_entropy: 3.3219, recall: 0.0865, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.762, kappa: 0.7356, kb_relative_information_score: 0.7511, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7707, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8588, kappa: 0.8433, kb_relative_information_score: 0.8525, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 3.3219, recall: 0.859, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8331, kappa: 0.8156, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8504, kappa: 0.8344, kb_relative_information_score: 0.8442, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.851, prior_entropy: 3.3219, recall: 0.851, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8271, kappa: 0.8089, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8287, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.814, kappa: 0.7939, kb_relative_information_score: 0.806, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7677, kappa: 0.74, kb_relative_information_score: 0.7553, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.814, kappa: 0.7939, kb_relative_information_score: 0.806, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8675, kappa: 0.8528, kb_relative_information_score: 0.8614, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8678, predictive_accuracy: 0.8675, prior_entropy: 3.3219, recall: 0.8675, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7886, kappa: 0.7633, kb_relative_information_score: 0.7773, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7949, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8588, kappa: 0.8433, kb_relative_information_score: 0.8525, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 3.3219, recall: 0.859, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7589, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7835, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8583, kappa: 0.8428, kb_relative_information_score: 0.852, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8588, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8522, kappa: 0.835, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8034, kappa: 0.7817, kb_relative_information_score: 0.7945, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8034, kappa: 0.7817, kb_relative_information_score: 0.7945, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8126, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8219, kappa: 0.8033, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.5036, kappa: 0.4011, kb_relative_information_score: 0.4363, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6331, predictive_accuracy: 0.461, prior_entropy: 3.3219, recall: 0.461, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8588, kappa: 0.8433, kb_relative_information_score: 0.8525, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 3.3219, recall: 0.859, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7634, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7721, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7589, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7835, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8054, kappa: 0.7839, kb_relative_information_score: 0.7966, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8094, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8738, kappa: 0.8594, kb_relative_information_score: 0.8677, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8745, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8738, kappa: 0.8594, kb_relative_information_score: 0.8677, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8745, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8126, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,

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