Task
Supervised Classification on MagicTelescope

Supervised Classification on MagicTelescope

Task 3954 Supervised Classification MagicTelescope 62385 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8743, kappa: 0.7206, kb_relative_information_score: 0.6271, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8767, number_of_instances: 19020, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6342, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8803, kappa: 0.7342, kb_relative_information_score: 0.63, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6187, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8758, kappa: 0.7236, kb_relative_information_score: 0.5764, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8797, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6353, unweighted_recall: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8797, kappa: 0.7331, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, weighted_recall: 0.8816, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9355, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6251, unweighted_recall: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8148, kappa: 0.5942, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, weighted_recall: 0.8146, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 0.9355, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9019, unweighted_recall: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7852, kappa: 0.5208, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.456, weighted_recall: 0.7912, number_of_instances: 19020, precision: 0.7874, predictive_accuracy: 0.7912, prior_entropy: 0.9355, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9571, unweighted_recall: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8743, kappa: 0.7206, kb_relative_information_score: 0.6271, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8767, number_of_instances: 19020, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6342, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8803, kappa: 0.7342, kb_relative_information_score: 0.63, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6187, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8758, kappa: 0.7236, kb_relative_information_score: 0.5764, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8797, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6353, unweighted_recall: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8797, kappa: 0.7331, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, weighted_recall: 0.8816, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9355, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6251, unweighted_recall: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8148, kappa: 0.5942, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, weighted_recall: 0.8146, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 0.9355, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9019, unweighted_recall: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7852, kappa: 0.5208, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.456, weighted_recall: 0.7912, number_of_instances: 19020, precision: 0.7874, predictive_accuracy: 0.7912, prior_entropy: 0.9355, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9571, unweighted_recall: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8743, kappa: 0.7206, kb_relative_information_score: 0.6271, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8767, number_of_instances: 19020, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6342, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8803, kappa: 0.7342, kb_relative_information_score: 0.63, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6187, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8758, kappa: 0.7236, kb_relative_information_score: 0.5764, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8797, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6353, unweighted_recall: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8797, kappa: 0.7331, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, weighted_recall: 0.8816, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9355, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6251, unweighted_recall: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8148, kappa: 0.5942, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, weighted_recall: 0.8146, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 0.9355, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9019, unweighted_recall: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7852, kappa: 0.5208, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.456, weighted_recall: 0.7912, number_of_instances: 19020, precision: 0.7874, predictive_accuracy: 0.7912, prior_entropy: 0.9355, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9571, unweighted_recall: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8743, kappa: 0.7206, kb_relative_information_score: 0.6271, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8767, number_of_instances: 19020, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6342, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8803, kappa: 0.7342, kb_relative_information_score: 0.63, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6187, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8758, kappa: 0.7236, kb_relative_information_score: 0.5764, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8797, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6353, unweighted_recall: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8148, kappa: 0.5942, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, weighted_recall: 0.8146, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 0.9355, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9019, unweighted_recall: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7852, kappa: 0.5208, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.456, weighted_recall: 0.7912, number_of_instances: 19020, precision: 0.7874, predictive_accuracy: 0.7912, prior_entropy: 0.9355, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9571, unweighted_recall: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8743, kappa: 0.7206, kb_relative_information_score: 0.6271, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8767, number_of_instances: 19020, precision: 0.8768, predictive_accuracy: 0.8767, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6342, unweighted_recall: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8803, kappa: 0.7342, kb_relative_information_score: 0.63, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6187, unweighted_recall: 0.8564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8797, kappa: 0.7331, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, weighted_recall: 0.8816, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8816, prior_entropy: 0.9355, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6251, unweighted_recall: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8148, kappa: 0.5942, kb_relative_information_score: 0.5772, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.456, weighted_recall: 0.8146, number_of_instances: 19020, precision: 0.815, predictive_accuracy: 0.8146, prior_entropy: 0.9355, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9019, unweighted_recall: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.5978, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8815, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6259, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8791, kappa: 0.7317, kb_relative_information_score: 0.5978, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, weighted_recall: 0.8811, number_of_instances: 19020, precision: 0.8809, predictive_accuracy: 0.8811, prior_entropy: 0.9355, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6261, unweighted_recall: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8793, kappa: 0.7322, kb_relative_information_score: 0.5974, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8813, number_of_instances: 19020, precision: 0.881, predictive_accuracy: 0.8813, prior_entropy: 0.9355, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8799, kappa: 0.7333, kb_relative_information_score: 0.5971, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6267, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8801, kappa: 0.7339, kb_relative_information_score: 0.5966, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, weighted_recall: 0.8821, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.8821, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6272, unweighted_recall: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8794, kappa: 0.7323, kb_relative_information_score: 0.5979, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.456, weighted_recall: 0.8813, number_of_instances: 19020, precision: 0.881, predictive_accuracy: 0.8813, prior_entropy: 0.9355, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6265, unweighted_recall: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8791, kappa: 0.7316, kb_relative_information_score: 0.5975, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.881, number_of_instances: 19020, precision: 0.8807, predictive_accuracy: 0.881, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6255, unweighted_recall: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8802, kappa: 0.734, kb_relative_information_score: 0.5966, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, weighted_recall: 0.8822, number_of_instances: 19020, precision: 0.8821, predictive_accuracy: 0.8822, prior_entropy: 0.9355, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6273, unweighted_recall: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8793, kappa: 0.7322, kb_relative_information_score: 0.5961, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, weighted_recall: 0.8812, number_of_instances: 19020, precision: 0.8808, predictive_accuracy: 0.8812, prior_entropy: 0.9355, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6276, unweighted_recall: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8705, kappa: 0.7119, kb_relative_information_score: 0.5954, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, weighted_recall: 0.8731, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.8731, prior_entropy: 0.9355, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6424, unweighted_recall: 0.8438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8702, kappa: 0.7114, kb_relative_information_score: 0.5922, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.456, weighted_recall: 0.8729, number_of_instances: 19020, precision: 0.873, predictive_accuracy: 0.8729, prior_entropy: 0.9355, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6442, unweighted_recall: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8695, kappa: 0.7105, kb_relative_information_score: 0.6211, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.456, weighted_recall: 0.8714, number_of_instances: 19020, precision: 0.8706, predictive_accuracy: 0.8714, prior_entropy: 0.9355, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6464, unweighted_recall: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8716, kappa: 0.7151, kb_relative_information_score: 0.6262, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.456, weighted_recall: 0.8736, number_of_instances: 19020, precision: 0.873, predictive_accuracy: 0.8736, prior_entropy: 0.9355, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6428, unweighted_recall: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8768, kappa: 0.7264, kb_relative_information_score: 0.6274, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.456, weighted_recall: 0.8788, number_of_instances: 19020, precision: 0.8785, predictive_accuracy: 0.8788, prior_entropy: 0.9355, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6279, unweighted_recall: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8719, kappa: 0.7154, kb_relative_information_score: 0.6093, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.456, weighted_recall: 0.8742, number_of_instances: 19020, precision: 0.874, predictive_accuracy: 0.8742, prior_entropy: 0.9355, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6372, unweighted_recall: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8713, kappa: 0.7146, kb_relative_information_score: 0.6198, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.456, weighted_recall: 0.8732, number_of_instances: 19020, precision: 0.8724, predictive_accuracy: 0.8732, prior_entropy: 0.9355, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6436, unweighted_recall: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8676, kappa: 0.7058, kb_relative_information_score: 0.5954, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, weighted_recall: 0.87, number_of_instances: 19020, precision: 0.8696, predictive_accuracy: 0.87, prior_entropy: 0.9355, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6506, unweighted_recall: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8679, kappa: 0.7075, kb_relative_information_score: 0.6182, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.456, weighted_recall: 0.8696, number_of_instances: 19020, precision: 0.8685, predictive_accuracy: 0.8696, prior_entropy: 0.9355, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6597, unweighted_recall: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8689, kappa: 0.709, kb_relative_information_score: 0.6127, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.456, weighted_recall: 0.8711, number_of_instances: 19020, precision: 0.8706, predictive_accuracy: 0.8711, prior_entropy: 0.9355, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6459, unweighted_recall: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8723, kappa: 0.7168, kb_relative_information_score: 0.6263, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.456, weighted_recall: 0.8742, number_of_instances: 19020, precision: 0.8735, predictive_accuracy: 0.8742, prior_entropy: 0.9355, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6399, unweighted_recall: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8756, kappa: 0.7239, kb_relative_information_score: 0.6255, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8774, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6306, unweighted_recall: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8665, kappa: 0.7038, kb_relative_information_score: 0.611, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.456, weighted_recall: 0.8685, number_of_instances: 19020, precision: 0.8676, predictive_accuracy: 0.8685, prior_entropy: 0.9355, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6539, unweighted_recall: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8745, kappa: 0.7212, kb_relative_information_score: 0.6067, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.456, weighted_recall: 0.8768, number_of_instances: 19020, precision: 0.8767, predictive_accuracy: 0.8768, prior_entropy: 0.9355, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6381, unweighted_recall: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8739, kappa: 0.7196, kb_relative_information_score: 0.6031, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.456, weighted_recall: 0.8764, number_of_instances: 19020, precision: 0.8767, predictive_accuracy: 0.8764, prior_entropy: 0.9355, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.632, unweighted_recall: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8698, kappa: 0.7115, kb_relative_information_score: 0.6237, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.456, weighted_recall: 0.8715, number_of_instances: 19020, precision: 0.8705, predictive_accuracy: 0.8715, prior_entropy: 0.9355, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8663, kappa: 0.7037, kb_relative_information_score: 0.6077, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.456, weighted_recall: 0.8682, number_of_instances: 19020, precision: 0.8672, predictive_accuracy: 0.8682, prior_entropy: 0.9355, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6548, unweighted_recall: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8745, kappa: 0.7213, kb_relative_information_score: 0.6128, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.456, weighted_recall: 0.8766, number_of_instances: 19020, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 0.9355, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6344, unweighted_recall: 0.8502,

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

OpenML APIs