Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 96904 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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96904 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.9035, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.9035, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.9035, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.9035, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9576, kappa: 0.9112, kb_relative_information_score: 0.9035, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9585, kappa: 0.913, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4416, kappa: -0.0007, kb_relative_information_score: -0.1592, mean_absolute_error: 0.5427, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.4573, prior_entropy: 0.9674, recall: 0.4573, relative_absolute_error: 1.1364, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7367, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 0.903, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5325, kappa: 0.072, kb_relative_information_score: -0.0087, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.56, predictive_accuracy: 0.5279, prior_entropy: 0.9674, recall: 0.5279, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.687, root_relative_squared_error: 1.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 0.903, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 0.903, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5325, kappa: 0.072, kb_relative_information_score: -0.0087, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.56, predictive_accuracy: 0.5279, prior_entropy: 0.9674, recall: 0.5279, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.687, root_relative_squared_error: 1.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 0.903, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9559, kappa: 0.9076, kb_relative_information_score: 0.903, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5661, kappa: 0.0842, kb_relative_information_score: 0.1296, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5681, predictive_accuracy: 0.5925, prior_entropy: 0.9674, recall: 0.5925, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5661, kappa: 0.0842, kb_relative_information_score: 0.1296, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5681, predictive_accuracy: 0.5925, prior_entropy: 0.9674, recall: 0.5925, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5661, kappa: 0.0842, kb_relative_information_score: 0.1296, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5681, predictive_accuracy: 0.5925, prior_entropy: 0.9674, recall: 0.5925, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5661, kappa: 0.0842, kb_relative_information_score: 0.1296, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5681, predictive_accuracy: 0.5925, prior_entropy: 0.9674, recall: 0.5925, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5661, kappa: 0.0842, kb_relative_information_score: 0.1296, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5681, predictive_accuracy: 0.5925, prior_entropy: 0.9674, recall: 0.5925, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9572, kappa: 0.9103, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9572, kappa: 0.9103, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9572, kappa: 0.9103, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9572, kappa: 0.9103, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9572, kappa: 0.9103, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7774, kappa: 0.5295, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7794, predictive_accuracy: 0.7811, prior_entropy: 0.9674, recall: 0.7811, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7774, kappa: 0.5295, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7794, predictive_accuracy: 0.7811, prior_entropy: 0.9674, recall: 0.7811, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7774, kappa: 0.5295, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7794, predictive_accuracy: 0.7811, prior_entropy: 0.9674, recall: 0.7811, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7774, kappa: 0.5295, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7794, predictive_accuracy: 0.7811, prior_entropy: 0.9674, recall: 0.7811, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7774, kappa: 0.5295, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7794, predictive_accuracy: 0.7811, prior_entropy: 0.9674, recall: 0.7811, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8592, kappa: 0.7018, kb_relative_information_score: 0.2979, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8789, predictive_accuracy: 0.8646, prior_entropy: 0.9674, recall: 0.8646, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8592, kappa: 0.7018, kb_relative_information_score: 0.2979, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8789, predictive_accuracy: 0.8646, prior_entropy: 0.9674, recall: 0.8646, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8592, kappa: 0.7018, kb_relative_information_score: 0.2979, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8789, predictive_accuracy: 0.8646, prior_entropy: 0.9674, recall: 0.8646, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8592, kappa: 0.7018, kb_relative_information_score: 0.2979, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8789, predictive_accuracy: 0.8646, prior_entropy: 0.9674, recall: 0.8646, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7868,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 0.8925, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3846,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9497, kappa: 0.8946, kb_relative_information_score: 0.84, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9497, kappa: 0.8946, kb_relative_information_score: 0.84, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9497, kappa: 0.8946, kb_relative_information_score: 0.84, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9497, kappa: 0.8946, kb_relative_information_score: 0.84, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9497, kappa: 0.8946, kb_relative_information_score: 0.84, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9336, kappa: 0.8605, kb_relative_information_score: 0.7615, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.934, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4576,

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