OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9338, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9338, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3145, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.309, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.26, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.309, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.251, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.493, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 0.927, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9467, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, unweighted_recall: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 0.927, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9467, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, unweighted_recall: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9334, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.916, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3376, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.301, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9182, kappa: 0.88, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.92, number_of_instances: 150, precision: 0.9228, predictive_accuracy: 0.92, prior_entropy: 1.585, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, unweighted_recall: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9334, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.916, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3376, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.301, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9182, kappa: 0.88, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.92, number_of_instances: 150, precision: 0.9228, predictive_accuracy: 0.92, prior_entropy: 1.585, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, unweighted_recall: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9334, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.916, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3376, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.301, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9182, kappa: 0.88, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.92, number_of_instances: 150, precision: 0.9228, predictive_accuracy: 0.92, prior_entropy: 1.585, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, unweighted_recall: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9334, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.916, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3376, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.301, unweighted_recall: 0.96,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9182, kappa: 0.88, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.92, number_of_instances: 150, precision: 0.9228, predictive_accuracy: 0.92, prior_entropy: 1.585, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, unweighted_recall: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9334, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3029, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.916, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3376, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.301, unweighted_recall: 0.96,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9182, kappa: 0.88, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.92, number_of_instances: 150, precision: 0.9228, predictive_accuracy: 0.92, prior_entropy: 1.585, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, unweighted_recall: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3741, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, weighted_recall: 0.94, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3337, unweighted_recall: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3064, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9361, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9314, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.258, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3201, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3741, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, weighted_recall: 0.94, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3337, unweighted_recall: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3064, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,

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

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

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