Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 1918 Supervised Classification ecoli 169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8393, kappa: 0.7848, kb_relative_information_score: 2429.9747, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8344, predictive_accuracy: 0.8446, prior_entropy: 2.2353, recall: 0.8446, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5792, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6844, kappa: 0.6532, kb_relative_information_score: 1932.0871, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6263, predictive_accuracy: 0.7592, prior_entropy: 2.2353, recall: 0.7592, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8134, scimark_benchmark: 916.0735, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8099, kappa: 0.746, kb_relative_information_score: 2451.1794, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.807, predictive_accuracy: 0.8164, prior_entropy: 2.2353, recall: 0.8164, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8199, kappa: 0.7616, kb_relative_information_score: 2336.1305, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8162, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8099, kappa: 0.746, kb_relative_information_score: 2451.1794, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.807, predictive_accuracy: 0.8164, prior_entropy: 2.2353, recall: 0.8164, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6844, kappa: 0.6532, kb_relative_information_score: 1932.0871, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6263, predictive_accuracy: 0.7592, prior_entropy: 2.2353, recall: 0.7592, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8134, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8119, kappa: 0.7481, kb_relative_information_score: 2241.4757, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8064, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6181, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8393, kappa: 0.7848, kb_relative_information_score: 2429.9747, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8344, predictive_accuracy: 0.8446, prior_entropy: 2.2353, recall: 0.8446, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5792, scimark_benchmark: 608.4057, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6844, kappa: 0.6532, kb_relative_information_score: 1932.0871, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6263, predictive_accuracy: 0.7592, prior_entropy: 2.2353, recall: 0.7592, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8134, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6844, kappa: 0.6532, kb_relative_information_score: 1932.0871, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.6263, predictive_accuracy: 0.7592, prior_entropy: 2.2353, recall: 0.7592, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8134, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8088, kappa: 0.7451, kb_relative_information_score: 2474.8815, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8059, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5846, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8099, kappa: 0.746, kb_relative_information_score: 2451.1794, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.807, predictive_accuracy: 0.8164, prior_entropy: 2.2353, recall: 0.8164, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8199, kappa: 0.7616, kb_relative_information_score: 2336.1305, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8162, predictive_accuracy: 0.8292, prior_entropy: 2.2353, recall: 0.8292, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8099, kappa: 0.746, kb_relative_information_score: 2451.1794, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.807, predictive_accuracy: 0.8164, prior_entropy: 2.2353, recall: 0.8164, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5814, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8119, kappa: 0.7481, kb_relative_information_score: 2241.4757, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8064, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6181, scimark_benchmark: 936.3213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, 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: 0.9652, f_measure: 0.8699, kappa: 0.8278, kb_relative_information_score: 2468.3613, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8652, predictive_accuracy: 0.8756, prior_entropy: 2.2353, recall: 0.8756, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5336, scimark_benchmark: 920.2531, usercpu_time_millis: 1810, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8696, kappa: 0.8277, kb_relative_information_score: 2469.5848, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8648, predictive_accuracy: 0.8756, prior_entropy: 2.2353, recall: 0.8756, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5337, scimark_benchmark: 931.7096, usercpu_time_millis: 820, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8671, kappa: 0.8238, kb_relative_information_score: 2472.1425, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8626, predictive_accuracy: 0.8726, prior_entropy: 2.2353, recall: 0.8726, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5349, scimark_benchmark: 921.2615, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8608, kappa: 0.815, kb_relative_information_score: 2463.7801, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8561, predictive_accuracy: 0.8664, prior_entropy: 2.2353, recall: 0.8664, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5422, scimark_benchmark: 896.2181, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8646, kappa: 0.8205, kb_relative_information_score: 2460.8922, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8598, predictive_accuracy: 0.8705, prior_entropy: 2.2353, recall: 0.8705, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5457, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.2541, kb_relative_information_score: 1.7516, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, 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: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 585.8765, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, 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: 0.9551, f_measure: 0.8392, kappa: 0.7872, kb_relative_information_score: 2418.7241, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.835, predictive_accuracy: 0.847, prior_entropy: 2.2353, recall: 0.847, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5559, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8503, kappa: 0.8017, kb_relative_information_score: 2466.9767, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8458, predictive_accuracy: 0.8574, prior_entropy: 2.2353, recall: 0.8574, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5531, scimark_benchmark: 931.7994, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5115, kappa: 0.4497, kb_relative_information_score: 1227.1616, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4233, predictive_accuracy: 0.6461, prior_entropy: 2.2353, recall: 0.6461, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.8167, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, scimark_benchmark: 942.9708, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8088, kappa: 0.7451, kb_relative_information_score: 2474.8815, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8059, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5846, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8088, kappa: 0.7451, kb_relative_information_score: 2474.8815, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8059, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5846, scimark_benchmark: 1350.073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8544, kappa: 0.8075, kb_relative_information_score: 2427.874, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8489, predictive_accuracy: 0.8613, prior_entropy: 2.2353, recall: 0.8613, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5584, 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: 0.9605, f_measure: 0.8393, kappa: 0.7848, kb_relative_information_score: 2429.9747, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8344, predictive_accuracy: 0.8446, prior_entropy: 2.2353, recall: 0.8446, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5792, scimark_benchmark: 1337.446, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8108, kappa: 0.7427, kb_relative_information_score: 2383.1737, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8109, predictive_accuracy: 0.814, prior_entropy: 2.2353, recall: 0.814, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6319, scimark_benchmark: 942.9708, usercpu_time_millis: 260, usercpu_time_millis_testing: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8393, kappa: 0.7848, kb_relative_information_score: 2429.9747, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8344, predictive_accuracy: 0.8446, prior_entropy: 2.2353, recall: 0.8446, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5792, scimark_benchmark: 1342.1678, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7534, kappa: 0.6625, kb_relative_information_score: 2130.5978, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.753, predictive_accuracy: 0.7545, prior_entropy: 2.2353, recall: 0.7545, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.8214, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8344, kappa: 0.7862, kb_relative_information_score: 2131.6103, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8409, predictive_accuracy: 0.8488, prior_entropy: 2.2353, recall: 0.8488, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6031, scimark_benchmark: 1342.2985, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7918, kappa: 0.7231, kb_relative_information_score: 2295.6212, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.7872, predictive_accuracy: 0.8033, prior_entropy: 2.2353, recall: 0.8033, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6338, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.5111, kappa: 0.4488, kb_relative_information_score: 1257.7014, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8451, scimark_benchmark: 1349.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8622, kappa: 0.8178, kb_relative_information_score: 2509.0053, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1828, number_of_instances: 3360, precision: 0.8571, predictive_accuracy: 0.8685, prior_entropy: 2.2353, recall: 0.8685, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5323, scimark_benchmark: 1331.2332, usercpu_time_millis: 250, usercpu_time_millis_training: 250,

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