Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 6 Supervised Classification anneal 602 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, kappa: 0.5211, kb_relative_information_score: 0.5738, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, kappa: 0.5211, kb_relative_information_score: 0.5755, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8062, kappa: 0.566, kb_relative_information_score: 0.5744, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.141, weighted_recall: 0.8243, number_of_instances: 296, precision: 0.8034, predictive_accuracy: 0.8243, prior_entropy: 1.309, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, kappa: 0.5395, kb_relative_information_score: 0.5877, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.141, weighted_recall: 0.8209, number_of_instances: 296, predictive_accuracy: 0.8209, prior_entropy: 1.309, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, kappa: 0.4979, kb_relative_information_score: 0.5854, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 0.8335, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.141, weighted_recall: 0.9392, number_of_instances: 296, precision: 0.9385, predictive_accuracy: 0.9392, prior_entropy: 1.309, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 0.8336, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.141, weighted_recall: 0.9392, number_of_instances: 296, precision: 0.9385, predictive_accuracy: 0.9392, prior_entropy: 1.309, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 0.8336, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.141, weighted_recall: 0.9392, number_of_instances: 296, precision: 0.9385, predictive_accuracy: 0.9392, prior_entropy: 1.309, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, kappa: 0.5211, kb_relative_information_score: 0.5738, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, kappa: 0.5487, kb_relative_information_score: 0.5767, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, kappa: 0.5487, kb_relative_information_score: 0.5898, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7851, kappa: 0.5156, kb_relative_information_score: 0.5703, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.141, weighted_recall: 0.8074, number_of_instances: 296, precision: 0.7788, predictive_accuracy: 0.8074, prior_entropy: 1.309, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, kappa: 0.5487, kb_relative_information_score: 0.5558, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, kappa: 0.5487, kb_relative_information_score: 0.5783, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, kappa: 0.5487, kb_relative_information_score: 0.5857, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, kappa: 0.5211, kb_relative_information_score: 0.5906, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, kappa: 0.5211, kb_relative_information_score: 0.5879, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8181, kappa: 0.5919, kb_relative_information_score: 0.5851, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.141, weighted_recall: 0.8311, number_of_instances: 296, precision: 0.8159, predictive_accuracy: 0.8311, prior_entropy: 1.309, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, kappa: 0.5273, kb_relative_information_score: 0.5744, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, kappa: 0.5487, kb_relative_information_score: 0.571, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8181, kappa: 0.5919, kb_relative_information_score: 0.5976, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.141, weighted_recall: 0.8311, number_of_instances: 296, precision: 0.8159, predictive_accuracy: 0.8311, prior_entropy: 1.309, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, kappa: 0.5211, kb_relative_information_score: 0.5874, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, kappa: 0.5211, kb_relative_information_score: 0.5555, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8062, kappa: 0.566, kb_relative_information_score: 0.5887, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.141, weighted_recall: 0.8243, number_of_instances: 296, precision: 0.8034, predictive_accuracy: 0.8243, prior_entropy: 1.309, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8062, kappa: 0.566, kb_relative_information_score: 0.5799, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.141, weighted_recall: 0.8243, number_of_instances: 296, precision: 0.8034, predictive_accuracy: 0.8243, prior_entropy: 1.309, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.7851, kappa: 0.5156, kb_relative_information_score: 0.5694, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.141, weighted_recall: 0.8074, number_of_instances: 296, precision: 0.7788, predictive_accuracy: 0.8074, prior_entropy: 1.309, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8181, kappa: 0.5919, kb_relative_information_score: 0.5763, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.141, weighted_recall: 0.8311, number_of_instances: 296, precision: 0.8159, predictive_accuracy: 0.8311, prior_entropy: 1.309, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, kappa: 0.5487, kb_relative_information_score: 0.5905, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.141, weighted_recall: 0.8176, number_of_instances: 296, predictive_accuracy: 0.8176, prior_entropy: 1.309, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, kappa: 0.5211, kb_relative_information_score: 0.5596, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, kappa: 0.5211, kb_relative_information_score: 0.5695, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.141, weighted_recall: 0.8108, number_of_instances: 296, predictive_accuracy: 0.8108, prior_entropy: 1.309, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, kappa: 0.5168, kb_relative_information_score: 0.5716, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.141, weighted_recall: 0.8209, number_of_instances: 296, predictive_accuracy: 0.8209, prior_entropy: 1.309, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.8465, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.141, weighted_recall: 0.9324, number_of_instances: 296, predictive_accuracy: 0.9324, prior_entropy: 1.309, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8146, kappa: 0.5846, kb_relative_information_score: 0.5756, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.141, weighted_recall: 0.8345, number_of_instances: 296, precision: 0.8165, predictive_accuracy: 0.8345, prior_entropy: 1.309, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.7477,

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