OpenML
Supervised Classification on fri_c2_100_10

Supervised Classification on fri_c2_100_10

Task 3628 Supervised Classification fri_c2_100_10 768 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: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 32.3652, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 32.3652, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 37.7281, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 37.7281, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 37.7281, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 37.7281, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 32.3652, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 32.3652, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3903, kb_relative_information_score: 2.174, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 35.5163, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7307, kappa: 0.46, kb_relative_information_score: 40.3388, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.735, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7705, kappa: 0.5382, kb_relative_information_score: 27.0878, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7724, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 40.0563, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7697, kappa: 0.5344, kb_relative_information_score: 42.627, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7466, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.6897, kappa: 0.3725, kb_relative_information_score: 30.0678, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9403, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6503, kappa: 0.2944, kb_relative_information_score: 28.2149, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6508, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9476, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6703, kappa: 0.3347, kb_relative_information_score: 33.6325, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6707, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0213, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7497, kappa: 0.4939, kb_relative_information_score: 45.6745, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8312, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7497, kappa: 0.4939, kb_relative_information_score: 45.6745, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8312, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 36.0227, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8302, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 30.1172, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8933, scimark_benchmark: 1051.249, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7497, kappa: 0.4939, kb_relative_information_score: 45.6745, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8312, scimark_benchmark: 932.438,

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