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Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2353 Supervised Classification meta_batchincremental.arff 302 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.9091, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0331, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.6508, kappa: 0.188, kb_relative_information_score: 2.2036, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7174, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3497, scimark_benchmark: 1323.4648, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7593, kappa: 0.3846, kb_relative_information_score: 6.6043, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7868, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3492, root_relative_squared_error: 1.1281, scimark_benchmark: 1350.073, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7153, kappa: 0.2821, kb_relative_information_score: 4.5191, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7402, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1576, scimark_benchmark: 1227.9507, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7153, kappa: 0.2821, kb_relative_information_score: 4.5191, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7402, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1576, scimark_benchmark: 1365.1392, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.6979, kappa: 0.16, kb_relative_information_score: 3.3672, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6917, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3127, root_relative_squared_error: 1.0102, scimark_benchmark: 1349.1028, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.6629, kappa: 0.3077, kb_relative_information_score: 2.2516, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8229, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9411, scimark_benchmark: 1317.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6974, kappa: 0.2782, kb_relative_information_score: 3.0389, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7701, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3329, root_relative_squared_error: 1.0756, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6996, kb_relative_information_score: 0.3535, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9792, scimark_benchmark: 1331.2332, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.787, kappa: 0.4872, kb_relative_information_score: 7.437, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8076, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9488, scimark_benchmark: 937.1527, 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: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7468, kappa: 0.4194, kb_relative_information_score: 5.7648, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7891, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.36, root_relative_squared_error: 1.1631, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 1354.8751, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.5191, kappa: 0.1472, kb_relative_information_score: -5.8386, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8274, predictive_accuracy: 0.4167, prior_entropy: 1.3842, recall: 0.4167, relative_absolute_error: 1.2969, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.745, scimark_benchmark: 996.6105, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8212, kappa: 0.5596, kb_relative_information_score: 5.5487, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8227, predictive_accuracy: 0.8333, prior_entropy: 1.3842, recall: 0.8333, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9504, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6692, kappa: 0.2394, kb_relative_information_score: 1.1856, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7664, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.3503, scimark_benchmark: 1299.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6692, kappa: 0.2394, kb_relative_information_score: 1.9039, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7664, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.433, root_relative_squared_error: 1.3991, scimark_benchmark: 898.1296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -2.407, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0945, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.322, root_relative_squared_error: 1.0403, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.6336, kappa: 0.129, kb_relative_information_score: -10.506, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6745, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 1.5612, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.3251, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6833, kappa: 0.232, kb_relative_information_score: 3.4523, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7284, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.3191, scimark_benchmark: 1270.2428, usercpu_time_millis: 4880, usercpu_time_millis_training: 4880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8108, kappa: 0.5556, kb_relative_information_score: 5.5248, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8102, predictive_accuracy: 0.8333, prior_entropy: 1.3842, recall: 0.8333, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8442, scimark_benchmark: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.6996, kb_relative_information_score: 0.2846, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.9807, scimark_benchmark: 1360.2771, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7593, kappa: 0.3846, kb_relative_information_score: 6.5487, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7868, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3535, root_relative_squared_error: 1.1423, scimark_benchmark: 1275.9462, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7542, kappa: 0.2857, kb_relative_information_score: 2.9295, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7202, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.9007, scimark_benchmark: 1313.6093, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7542, kappa: 0.2857, kb_relative_information_score: 2.4967, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7202, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9264, scimark_benchmark: 1318.8785, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1205.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6514, kappa: 0.2405, kb_relative_information_score: 0.2245, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8167, predictive_accuracy: 0.5833, prior_entropy: 1.3842, recall: 0.5833, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.3948, scimark_benchmark: 1315.3709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6514, kappa: 0.2405, kb_relative_information_score: 0.2245, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.8167, predictive_accuracy: 0.5833, prior_entropy: 1.3842, recall: 0.5833, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.3948, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.6471, kappa: 0.1818, kb_relative_information_score: 2.0981, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7139, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.4128, root_relative_squared_error: 1.3338, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.6951, kappa: 0.0526, kb_relative_information_score: -0.2951, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6477, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3144, root_relative_squared_error: 1.0159, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, build_cpu_time: 0.026, build_memory: 2138017448, f_measure: 0.7787, kappa: 0.4828, kb_relative_information_score: 3.927, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7987, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9511, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, build_cpu_time: 0.038, build_memory: 1831119632, f_measure: 0.7787, kappa: 0.4828, kb_relative_information_score: 3.927, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7987, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9511, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, build_cpu_time: 0.025, build_memory: 766570032, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: 4.482, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.325, root_relative_squared_error: 1.05, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, build_cpu_time: 0.024, build_memory: 574950984, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: 4.482, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.325, root_relative_squared_error: 1.05, scimark_benchmark: 939.0159,
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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