Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 1921 Supervised Classification soybean 178 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.9105, kb_relative_information_score: 6200.3255, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9181, predictive_accuracy: 0.9184, prior_entropy: 3.8572, recall: 0.9184, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8314, kappa: 0.8154, kb_relative_information_score: 5443.6591, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.855, predictive_accuracy: 0.8318, prior_entropy: 3.8572, recall: 0.8318, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5175, scimark_benchmark: 851.2074, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8796, kappa: 0.8805, kb_relative_information_score: 6026.2157, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8867, predictive_accuracy: 0.8915, prior_entropy: 3.8572, recall: 0.8915, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4877, scimark_benchmark: 916.0735, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9285, kappa: 0.9223, kb_relative_information_score: 6380.6632, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9369, predictive_accuracy: 0.929, prior_entropy: 3.8572, recall: 0.929, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.37, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8442, kappa: 0.8429, kb_relative_information_score: 5611.2681, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8483, predictive_accuracy: 0.8575, prior_entropy: 3.8572, recall: 0.8575, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4924, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 931.771, usercpu_time_millis: 470, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8796, kappa: 0.8805, kb_relative_information_score: 6026.2157, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8867, predictive_accuracy: 0.8915, prior_entropy: 3.8572, recall: 0.8915, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4877, scimark_benchmark: 937.5117, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9264, kappa: 0.9201, kb_relative_information_score: 6331.0759, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9319, predictive_accuracy: 0.9271, prior_entropy: 3.8572, recall: 0.9271, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3734, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 943.1009, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.9105, kb_relative_information_score: 6200.3255, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9181, predictive_accuracy: 0.9184, prior_entropy: 3.8572, recall: 0.9184, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8314, kappa: 0.8154, kb_relative_information_score: 5443.6591, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.855, predictive_accuracy: 0.8318, prior_entropy: 3.8572, recall: 0.8318, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5175, scimark_benchmark: 936.2574, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8796, kappa: 0.8805, kb_relative_information_score: 6026.2157, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8867, predictive_accuracy: 0.8915, prior_entropy: 3.8572, recall: 0.8915, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4877, scimark_benchmark: 908.9569, usercpu_time_millis: 1110, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8796, kappa: 0.8805, kb_relative_information_score: 6026.2157, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8867, predictive_accuracy: 0.8915, prior_entropy: 3.8572, recall: 0.8915, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4877, scimark_benchmark: 938.1282, usercpu_time_millis: 430, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8442, kappa: 0.8429, kb_relative_information_score: 5611.2681, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8483, predictive_accuracy: 0.8575, prior_entropy: 3.8572, recall: 0.8575, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4924, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9264, kappa: 0.9201, kb_relative_information_score: 6331.0759, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9319, predictive_accuracy: 0.9271, prior_entropy: 3.8572, recall: 0.9271, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3734, scimark_benchmark: 936.3213, usercpu_time_millis: 10590, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 10220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 1051.249, usercpu_time_millis: 410, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9493, kappa: 0.9448, kb_relative_information_score: 6451.1453, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9504, predictive_accuracy: 0.9496, prior_entropy: 3.8572, recall: 0.9496, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.291, scimark_benchmark: 920.2531, usercpu_time_millis: 18680, usercpu_time_millis_testing: 7480, usercpu_time_millis_training: 11200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9483, kappa: 0.9436, kb_relative_information_score: 6451.7438, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9494, predictive_accuracy: 0.9486, prior_entropy: 3.8572, recall: 0.9486, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.2911, scimark_benchmark: 934.7923, usercpu_time_millis: 9700, usercpu_time_millis_testing: 3900, usercpu_time_millis_training: 5800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9489, kappa: 0.9443, kb_relative_information_score: 6450.3407, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9498, predictive_accuracy: 0.9492, prior_entropy: 3.8572, recall: 0.9492, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2921, scimark_benchmark: 942.5233, usercpu_time_millis: 4160, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.947, kappa: 0.9422, kb_relative_information_score: 6447.2403, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9482, predictive_accuracy: 0.9473, prior_entropy: 3.8572, recall: 0.9473, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.295, scimark_benchmark: 939.7883, usercpu_time_millis: 1880, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9449, kappa: 0.9399, kb_relative_information_score: 6436.5661, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9458, predictive_accuracy: 0.9452, prior_entropy: 3.8572, recall: 0.9452, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3023, scimark_benchmark: 935.6052, usercpu_time_millis: 1080, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.032, kb_relative_information_score: 5.225, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 2200.9079, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 2200.9079, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 2200.9079, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 2200.9079, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 2200.9079, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.032, kb_relative_information_score: 508.7667, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.937, kappa: 0.9311, kb_relative_information_score: 6157.3035, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9377, predictive_accuracy: 0.9372, prior_entropy: 3.8572, recall: 0.9372, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3544, scimark_benchmark: 936.7184, usercpu_time_millis: 1370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1333.0982, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1332.9478, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1337.1928, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1318.4315, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9264, kappa: 0.9201, kb_relative_information_score: 6331.0759, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9319, predictive_accuracy: 0.9271, prior_entropy: 3.8572, recall: 0.9271, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3734, scimark_benchmark: 1345.8358, usercpu_time_millis: 16380, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 15090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.937, kappa: 0.9313, kb_relative_information_score: 6436.5794, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9382, predictive_accuracy: 0.9373, prior_entropy: 3.8572, recall: 0.9373, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.3115, scimark_benchmark: 1322.0065, usercpu_time_millis: 1720, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9225, kappa: 0.9163, kb_relative_information_score: 6225.3435, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9239, predictive_accuracy: 0.9237, prior_entropy: 3.8572, recall: 0.9237, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.084, root_relative_squared_error: 0.3833, scimark_benchmark: 1339.8573, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8314, kappa: 0.8154, kb_relative_information_score: 5443.6591, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.855, predictive_accuracy: 0.8318, prior_entropy: 3.8572, recall: 0.8318, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5175, scimark_benchmark: 1338.6772, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1349.8336, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1323.3376, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1347.6184, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9264, kappa: 0.9201, kb_relative_information_score: 6331.0759, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9319, predictive_accuracy: 0.9271, prior_entropy: 3.8572, recall: 0.9271, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3734, scimark_benchmark: 1325.3966, usercpu_time_millis: 16370, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 15050,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1337.797, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1379.4037, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 1274.7011, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.9105, kb_relative_information_score: 6200.3255, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9181, predictive_accuracy: 0.9184, prior_entropy: 3.8572, recall: 0.9184, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8796, kappa: 0.8805, kb_relative_information_score: 6026.2157, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8867, predictive_accuracy: 0.8915, prior_entropy: 3.8572, recall: 0.8915, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4877, scimark_benchmark: 1304.2593, usercpu_time_millis: 380, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9285, kappa: 0.9223, kb_relative_information_score: 6380.6632, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9369, predictive_accuracy: 0.929, prior_entropy: 3.8572, recall: 0.929, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.37, scimark_benchmark: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8442, kappa: 0.8429, kb_relative_information_score: 5611.2681, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.8483, predictive_accuracy: 0.8575, prior_entropy: 3.8572, recall: 0.8575, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4924, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 1260.1387, usercpu_time_millis: 470, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 1281.7531, usercpu_time_millis: 470, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9285, kappa: 0.9223, kb_relative_information_score: 6380.6632, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9369, predictive_accuracy: 0.929, prior_entropy: 3.8572, recall: 0.929, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.37, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1288.1375, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.9105, kb_relative_information_score: 6200.3255, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9181, predictive_accuracy: 0.9184, prior_entropy: 3.8572, recall: 0.9184, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9372, kappa: 0.9323, kb_relative_information_score: 6423.1614, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9438, predictive_accuracy: 0.9382, prior_entropy: 3.8572, recall: 0.9382, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3341, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9339, kappa: 0.9279, kb_relative_information_score: 5978.0716, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9367, predictive_accuracy: 0.9343, prior_entropy: 3.8572, recall: 0.9343, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3947, scimark_benchmark: 1345.7204, usercpu_time_millis: 420, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.9105, kb_relative_information_score: 6200.3255, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9181, predictive_accuracy: 0.9184, prior_entropy: 3.8572, recall: 0.9184, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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