OpenML
Supervised Classification on chscase_funds

Supervised Classification on chscase_funds

Task 3666 Supervised Classification chscase_funds 511 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.6305, kappa: 0.2631, kb_relative_information_score: 34.3027, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6403, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.922,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6279, kappa: 0.2612, kb_relative_information_score: 33.3922, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6426, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3669, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3669, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6452, kappa: 0.3372, kb_relative_information_score: 38.9212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7621, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.65, kappa: 0.3211, kb_relative_information_score: 38.1201, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6989, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5786, kappa: 0.1549, kb_relative_information_score: 15.5511, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.579, predictive_accuracy: 0.5784, prior_entropy: 0.9975, recall: 0.5784, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9574,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs