OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8498, kappa: 0.7979, kb_relative_information_score: 246.016, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8473, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 608.4057, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8236, kappa: 0.7635, kb_relative_information_score: 233.8264, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5797, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 936.9595, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8837, kappa: 0.8475, kb_relative_information_score: 248.7182, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8791, predictive_accuracy: 0.8899, prior_entropy: 2.2353, recall: 0.8899, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5294, scimark_benchmark: 763.3895, usercpu_time_millis: 1770, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8867, kappa: 0.8516, kb_relative_information_score: 248.2428, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8811, predictive_accuracy: 0.8929, prior_entropy: 2.2353, recall: 0.8929, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5314, scimark_benchmark: 903.2737, usercpu_time_millis: 590, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8814, kappa: 0.8435, kb_relative_information_score: 248.8356, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.877, predictive_accuracy: 0.8869, prior_entropy: 2.2353, recall: 0.8869, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5303, scimark_benchmark: 944.235, usercpu_time_millis: 330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8722, kappa: 0.8308, kb_relative_information_score: 249.6293, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8677, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5389, scimark_benchmark: 911.2316, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8754, kappa: 0.835, kb_relative_information_score: 248.6338, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8704, predictive_accuracy: 0.881, prior_entropy: 2.2353, recall: 0.881, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5404, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, 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: 0.2541, kb_relative_information_score: 58.5877, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8358, kappa: 0.7835, kb_relative_information_score: 241.4111, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8333, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5612, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8537, kappa: 0.8051, kb_relative_information_score: 247.8586, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8496, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5452, scimark_benchmark: 943.4741, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.5111, kappa: 0.447, kb_relative_information_score: 122.7222, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.423, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.245, root_relative_squared_error: 0.8124, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8498, kappa: 0.7979, kb_relative_information_score: 246.016, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8473, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 898.5878, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6842, kappa: 0.6528, kb_relative_information_score: 193.0772, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6262, predictive_accuracy: 0.7589, prior_entropy: 2.2353, recall: 0.7589, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.8139, scimark_benchmark: 928.8135, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6842, kappa: 0.6528, kb_relative_information_score: 193.0772, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6262, predictive_accuracy: 0.7589, prior_entropy: 2.2353, recall: 0.7589, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.8139, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8236, kappa: 0.7635, kb_relative_information_score: 233.8264, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5797, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 935.627, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8101, kappa: 0.749, kb_relative_information_score: 230.0081, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8042, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6596, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 1333.202, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 1267.7714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.801, kappa: 0.7314, kb_relative_information_score: 242.1624, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8018, predictive_accuracy: 0.8065, prior_entropy: 2.2353, recall: 0.8065, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5827, scimark_benchmark: 1353.3951, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 1357.8069, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6842, kappa: 0.6528, kb_relative_information_score: 193.0772, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6262, predictive_accuracy: 0.7589, prior_entropy: 2.2353, recall: 0.7589, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.8139, scimark_benchmark: 1304.2593, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 942.9708, usercpu_time_millis: 300, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8236, kappa: 0.7635, kb_relative_information_score: 233.8264, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5797, scimark_benchmark: 1312.0581, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 1151.6869,

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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Download this task directly in your environment and automatically upload your results

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

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