OpenML
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3061 Supervised Classification squash-unstored 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 3.8956, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1744, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.5325, kappa: 0.2788, kb_relative_information_score: 5.5347, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.492, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.133, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 2.7119, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0463, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.5938, kappa: 0.3352, kb_relative_information_score: 6.9222, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6218, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9335, scimark_benchmark: 936.3373, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.5021, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8996, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 3.8956, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1744, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.5325, kappa: 0.2788, kb_relative_information_score: 5.5347, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.492, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.133, scimark_benchmark: 906.5979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 2.7119, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0463, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.5938, kappa: 0.3352, kb_relative_information_score: 6.9222, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6218, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9335, scimark_benchmark: 934.695, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.5021, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8996, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5765, kappa: 0.4035, kb_relative_information_score: 5.0835, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5294, predictive_accuracy: 0.6471, prior_entropy: 1.3486, recall: 0.6471, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9046, scimark_benchmark: 906.0979, usercpu_time_millis: 870, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.6347, kappa: 0.497, kb_relative_information_score: 5.0099, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5784, predictive_accuracy: 0.7059, prior_entropy: 1.3486, recall: 0.7059, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.9016, scimark_benchmark: 934.695, usercpu_time_millis: 480, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.5157, kappa: 0.3121, kb_relative_information_score: 4.5924, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4807, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9258, scimark_benchmark: 939.7241, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.5157, kappa: 0.3121, kb_relative_information_score: 5.3182, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4807, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9024, scimark_benchmark: 914.3583, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.5765, kappa: 0.4035, kb_relative_information_score: 5.1794, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5294, predictive_accuracy: 0.6471, prior_entropy: 1.3486, recall: 0.6471, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.913, scimark_benchmark: 889.4922, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: 0.3675, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0152, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 6.7104, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1337, scimark_benchmark: 936.7286, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 6.704, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1337, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.8385, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5489, root_relative_squared_error: 1.1877, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.0762, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.2073, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.0441, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.56, root_relative_squared_error: 1.2118, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1841, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.1246, predictive_accuracy: 0.3529, prior_entropy: 1.3486, recall: 0.3529, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4212, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.4749, kappa: 0.1656, kb_relative_information_score: 3.8116, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4471, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1727, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 2.643, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9728, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.3409, kappa: 0.0395, kb_relative_information_score: 1.8521, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.3353, predictive_accuracy: 0.4118, prior_entropy: 1.3486, recall: 0.4118, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0235, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 3.8956, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1744, scimark_benchmark: 926.4745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.5021, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8996, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 3.8956, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1744, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5745, kappa: 0.3239, kb_relative_information_score: 7.1259, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6415, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0471, scimark_benchmark: 1345.7204,

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