OpenML
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.3672, kb_relative_information_score: 0.9648, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.3672, kb_relative_information_score: 0.9648, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 29.5357, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.3672, kb_relative_information_score: 0.9648, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 29.5357, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 29.5357, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.3672, kb_relative_information_score: 0.9648, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 29.5357, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 42.2318, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5541, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.3672, kb_relative_information_score: 0.9648, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5733, kappa: 0.1753, kb_relative_information_score: 14.4011, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6117, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 29.5357, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 28.1007, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7302, kappa: 0.46, kb_relative_information_score: 35.6013, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8731,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8501, kappa: 0.7, kb_relative_information_score: 39.17, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8518, predictive_accuracy: 0.85, prior_entropy: 0.9975, recall: 0.85, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7556, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 51.5725, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8827, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 51.5725, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8827, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 51.5725, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8827, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 50.3925, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8923, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7486, kappa: 0.4952, kb_relative_information_score: 49.3493, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8832, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7168, kappa: 0.4325, kb_relative_information_score: 40.7888, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7231, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9249, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 49.2946, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9772, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7092, kappa: 0.4158, kb_relative_information_score: 45.3483, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7097, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9934, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 42.9042, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0045, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 37.9419, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0316, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 41.1812, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0186, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 941.9549,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs