OpenML
Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 3673 Supervised Classification fri_c0_100_10 754 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: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 48.1183, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, 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: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 48.1183, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, 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: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, 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: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 48.1183, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, 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: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 48.1183, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, 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: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,

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

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From your own software

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

OpenML APIs