OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 146822 Supervised Classification segment 9967 runs submitted
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  • OpenML-CC18 study_218 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8385, kappa: 0.8152, kb_relative_information_score: 0.7314, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8416, number_of_instances: 2310, precision: 0.8425, predictive_accuracy: 0.8416, prior_entropy: 2.8074, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5734, unweighted_recall: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8551, kappa: 0.8348, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5071, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.863, kappa: 0.8424, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8649, number_of_instances: 2310, precision: 0.8649, predictive_accuracy: 0.8649, prior_entropy: 2.8074, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.511, unweighted_recall: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8444, kappa: 0.8232, kb_relative_information_score: 0.7872, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8485, number_of_instances: 2310, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 2.8074, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5305, unweighted_recall: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8577, kappa: 0.8374, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8606, number_of_instances: 2310, precision: 0.8611, predictive_accuracy: 0.8606, prior_entropy: 2.8074, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5062, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8385, kappa: 0.8152, kb_relative_information_score: 0.7314, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8416, number_of_instances: 2310, precision: 0.8425, predictive_accuracy: 0.8416, prior_entropy: 2.8074, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5734, unweighted_recall: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8577, kappa: 0.8374, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8606, number_of_instances: 2310, precision: 0.8611, predictive_accuracy: 0.8606, prior_entropy: 2.8074, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5062, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8577, kappa: 0.8374, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8606, number_of_instances: 2310, precision: 0.8611, predictive_accuracy: 0.8606, prior_entropy: 2.8074, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5062, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8276, kappa: 0.8035, kb_relative_information_score: 0.5903, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8316, number_of_instances: 2310, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 2.8074, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.681, unweighted_recall: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8385, kappa: 0.8152, kb_relative_information_score: 0.7314, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8416, number_of_instances: 2310, precision: 0.8425, predictive_accuracy: 0.8416, prior_entropy: 2.8074, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5734, unweighted_recall: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8515, kappa: 0.8308, kb_relative_information_score: 0.805, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2449, weighted_recall: 0.855, number_of_instances: 2310, precision: 0.856, predictive_accuracy: 0.855, prior_entropy: 2.8074, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5149, unweighted_recall: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.799, kappa: 0.7803, kb_relative_information_score: 0.4574, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8117, number_of_instances: 2310, precision: 0.8055, predictive_accuracy: 0.8117, prior_entropy: 2.8074, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7671, unweighted_recall: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,

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