OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 4591 Supervised Classification soybean 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9748, kappa: 0.8928, kb_relative_information_score: 5676.929, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9751, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.427, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9768, kappa: 0.9009, kb_relative_information_score: 4159.2894, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.573, recall: 0.9767, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4644, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9703, kappa: 0.8717, kb_relative_information_score: 4461.742, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.573, recall: 0.9704, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4733, scimark_benchmark: 934.3687, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8978, kappa: 0.6133, kb_relative_information_score: 2302.3333, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.921, predictive_accuracy: 0.8878, prior_entropy: 0.573, recall: 0.8878, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8029, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9581, kappa: 0.8199, kb_relative_information_score: 4509.8725, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.573, recall: 0.9581, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5078, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9051, kb_relative_information_score: 5825.4771, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.573, recall: 0.9788, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3612, scimark_benchmark: 904.0772, usercpu_time_millis: 6520, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 6200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9706, kappa: 0.8729, kb_relative_information_score: 5397.1388, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9705, predictive_accuracy: 0.9709, prior_entropy: 0.573, recall: 0.9709, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4819, scimark_benchmark: 944.1067, usercpu_time_millis: 2450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 937.5117, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9738, kappa: 0.8849, kb_relative_information_score: 5195.8341, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9743, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.408, scimark_benchmark: 947.1781, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9748, kappa: 0.8928, kb_relative_information_score: 5676.929, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9751, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.427, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9768, kappa: 0.9009, kb_relative_information_score: 4159.2894, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.573, recall: 0.9767, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4644, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9703, kappa: 0.8717, kb_relative_information_score: 4461.742, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.573, recall: 0.9704, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4733, scimark_benchmark: 936.2574, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 908.9569, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8978, kappa: 0.6133, kb_relative_information_score: 2302.3333, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.921, predictive_accuracy: 0.8878, prior_entropy: 0.573, recall: 0.8878, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8029, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9581, kappa: 0.8199, kb_relative_information_score: 4509.8725, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.573, recall: 0.9581, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5078, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9051, kb_relative_information_score: 5825.4771, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.573, recall: 0.9788, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3612, scimark_benchmark: 931.7096, usercpu_time_millis: 11010, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 10640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9738, kappa: 0.8849, kb_relative_information_score: 5195.8341, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9743, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.408, scimark_benchmark: 945.6228, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9829, kappa: 0.9258, kb_relative_information_score: 5744.7242, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.983, predictive_accuracy: 0.9832, prior_entropy: 0.573, recall: 0.9832, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3298, scimark_benchmark: 934.7923, usercpu_time_millis: 15460, usercpu_time_millis_testing: 6130, usercpu_time_millis_training: 9330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9833, kappa: 0.9273, kb_relative_information_score: 5757.756, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.573, recall: 0.9835, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3278, scimark_benchmark: 904.5548, usercpu_time_millis: 8760, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9837, kappa: 0.9294, kb_relative_information_score: 5730.8534, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9837, predictive_accuracy: 0.9839, prior_entropy: 0.573, recall: 0.9839, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3333, scimark_benchmark: 942.2392, usercpu_time_millis: 3770, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9816, kappa: 0.9204, kb_relative_information_score: 5713.1003, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9816, predictive_accuracy: 0.9818, prior_entropy: 0.573, recall: 0.9818, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3373, scimark_benchmark: 938.3401, usercpu_time_millis: 1600, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9815, kappa: 0.9198, kb_relative_information_score: 5691.0752, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9815, predictive_accuracy: 0.9817, prior_entropy: 0.573, recall: 0.9817, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3438, scimark_benchmark: 897.0978, usercpu_time_millis: 770, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9776, kappa: 0.9033, kb_relative_information_score: 5799.9913, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.573, recall: 0.9777, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3924, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9776, kappa: 0.9033, kb_relative_information_score: 5799.9913, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.573, recall: 0.9777, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3924, scimark_benchmark: 930.0565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9776, kappa: 0.9033, kb_relative_information_score: 5802.9407, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.573, recall: 0.9777, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.3919, scimark_benchmark: 936.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9783, kappa: 0.9064, kb_relative_information_score: 5722.0284, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.573, recall: 0.9783, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3999, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9585, kappa: 0.8178, kb_relative_information_score: 4795.7625, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9585, predictive_accuracy: 0.9596, prior_entropy: 0.573, recall: 0.9596, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5131, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.8028, kb_relative_information_score: -27.1175, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.573, recall: 0.8653, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3414, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8978, kappa: 0.6133, kb_relative_information_score: 2302.3333, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.921, predictive_accuracy: 0.8878, prior_entropy: 0.573, recall: 0.8878, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8029, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9051, kb_relative_information_score: 5825.4771, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.573, recall: 0.9788, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3612, scimark_benchmark: 1332.7986, usercpu_time_millis: 5120, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 4890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9706, kappa: 0.8729, kb_relative_information_score: 5397.1388, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9705, predictive_accuracy: 0.9709, prior_entropy: 0.573, recall: 0.9709, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4819, scimark_benchmark: 1318.4315, usercpu_time_millis: 2620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9738, kappa: 0.8849, kb_relative_information_score: 5195.8341, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9743, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.408, scimark_benchmark: 1306.9281, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9748, kappa: 0.892, kb_relative_information_score: 5836.672, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.573, recall: 0.9748, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4222, scimark_benchmark: 1331.0047, usercpu_time_millis: 4830, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9703, kappa: 0.8717, kb_relative_information_score: 4461.742, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.573, recall: 0.9704, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4733, scimark_benchmark: 1325.3966, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9791, kappa: 0.9097, kb_relative_information_score: 5809.8036, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9791, predictive_accuracy: 0.9794, prior_entropy: 0.573, recall: 0.9794, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.125, root_relative_squared_error: 0.3661, scimark_benchmark: 1344.0499, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 1307.9497, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.942, kappa: 0.7318, kb_relative_information_score: 4854.0176, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9493, predictive_accuracy: 0.9473, prior_entropy: 0.573, recall: 0.9473, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6725, scimark_benchmark: 1342.2332, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8978, kappa: 0.6133, kb_relative_information_score: 2302.3333, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.921, predictive_accuracy: 0.8878, prior_entropy: 0.573, recall: 0.8878, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8029, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9589, kappa: 0.8291, kb_relative_information_score: 4594.5624, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9614, predictive_accuracy: 0.9577, prior_entropy: 0.573, recall: 0.9577, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5041, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9748, kappa: 0.8928, kb_relative_information_score: 5676.929, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9751, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.427, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9703, kappa: 0.8717, kb_relative_information_score: 4461.742, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.573, recall: 0.9704, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4733, scimark_benchmark: 1299.6719, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9738, kappa: 0.8849, kb_relative_information_score: 5195.8341, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2339, number_of_instances: 6830, precision: 0.9743, predictive_accuracy: 0.9745, prior_entropy: 0.573, recall: 0.9745, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.408, scimark_benchmark: 1350.4825, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,

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