Task
Supervised Classification on servo

Supervised Classification on servo

Task 4318 Supervised Classification servo 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9293, kappa: 0.7986, kb_relative_information_score: 1235.9542, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 0.7794, recall: 0.9293, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5253, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9276, kappa: 0.8026, kb_relative_information_score: 1205.1522, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9358, predictive_accuracy: 0.9252, prior_entropy: 0.7794, recall: 0.9252, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5104, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9453, kappa: 0.8453, kb_relative_information_score: 1266.1115, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9458, predictive_accuracy: 0.9449, prior_entropy: 0.7794, recall: 0.9449, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4478, scimark_benchmark: 944.1067, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8367, kb_relative_information_score: 1216.7835, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9431, predictive_accuracy: 0.9413, prior_entropy: 0.7794, recall: 0.9413, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4713, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9293, kappa: 0.7986, kb_relative_information_score: 1235.9542, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 0.7794, recall: 0.9293, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.5253, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 937.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1273.9884, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.6394, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9276, kappa: 0.8026, kb_relative_information_score: 1205.1522, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9358, predictive_accuracy: 0.9252, prior_entropy: 0.7794, recall: 0.9252, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5104, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9453, kappa: 0.8453, kb_relative_information_score: 1266.1115, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9458, predictive_accuracy: 0.9449, prior_entropy: 0.7794, recall: 0.9449, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4478, scimark_benchmark: 934.5964, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 945.6228, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9388, kappa: 0.8253, kb_relative_information_score: 986.4514, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9386, predictive_accuracy: 0.9389, prior_entropy: 0.7794, recall: 0.9389, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5423, scimark_benchmark: 1051.249, usercpu_time_millis: 1160, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9398, kappa: 0.8281, kb_relative_information_score: 971.9432, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9396, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5492, scimark_benchmark: 904.5548, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9398, kappa: 0.8281, kb_relative_information_score: 997.6104, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9396, predictive_accuracy: 0.9401, prior_entropy: 0.7794, recall: 0.9401, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5407, scimark_benchmark: 897.0978, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9368, kappa: 0.8193, kb_relative_information_score: 943.5497, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.7794, recall: 0.9371, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5709, scimark_benchmark: 910.2405, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.937, kappa: 0.8203, kb_relative_information_score: 1043.1103, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9369, predictive_accuracy: 0.9371, prior_entropy: 0.7794, recall: 0.9371, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5416, scimark_benchmark: 936.8729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9199, kappa: 0.7828, kb_relative_information_score: 1109.3826, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9301, predictive_accuracy: 0.9168, prior_entropy: 0.7794, recall: 0.9168, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5899, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9199, kappa: 0.7828, kb_relative_information_score: 1109.3826, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9301, predictive_accuracy: 0.9168, prior_entropy: 0.7794, recall: 0.9168, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5899, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9199, kappa: 0.7828, kb_relative_information_score: 1109.3826, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9301, predictive_accuracy: 0.9168, prior_entropy: 0.7794, recall: 0.9168, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5899, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9199, kappa: 0.7828, kb_relative_information_score: 1109.3826, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9301, predictive_accuracy: 0.9168, prior_entropy: 0.7794, recall: 0.9168, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5899, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9199, kappa: 0.7828, kb_relative_information_score: 1109.3826, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9301, predictive_accuracy: 0.9168, prior_entropy: 0.7794, recall: 0.9168, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5899, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 1331.2559,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9453, kappa: 0.8453, kb_relative_information_score: 1266.1115, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9458, predictive_accuracy: 0.9449, prior_entropy: 0.7794, recall: 0.9449, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4478, scimark_benchmark: 1315.9287, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 1332.1612, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1171.0335, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5616, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.928, kappa: 0.7963, kb_relative_information_score: 1188.2459, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9285, predictive_accuracy: 0.9275, prior_entropy: 0.7794, recall: 0.9275, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.536, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.8403, kb_relative_information_score: 1244.2382, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9444, predictive_accuracy: 0.9425, prior_entropy: 0.7794, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4622, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9289, kappa: 0.809, kb_relative_information_score: 1129.882, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9419, predictive_accuracy: 0.9257, prior_entropy: 0.7794, recall: 0.9257, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5727, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9313, kappa: 0.8161, kb_relative_information_score: 1160.9001, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9454, predictive_accuracy: 0.9281, prior_entropy: 0.7794, recall: 0.9281, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.5384, scimark_benchmark: 1330.8256, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9293, kappa: 0.7986, kb_relative_information_score: 1237.4427, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 0.7794, recall: 0.9293, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.5241, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9437, kappa: 0.8416, kb_relative_information_score: 1291.033, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9447, predictive_accuracy: 0.9431, prior_entropy: 0.7794, recall: 0.9431, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4757, scimark_benchmark: 1324.5762, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9276, kappa: 0.8026, kb_relative_information_score: 1205.1522, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9358, predictive_accuracy: 0.9252, prior_entropy: 0.7794, recall: 0.9252, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5104, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9333, kappa: 0.8154, kb_relative_information_score: 1186.1035, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3533, number_of_instances: 1670, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 0.7794, recall: 0.9317, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4845, scimark_benchmark: 1342.6744,

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

OpenML bootcamp

From your own software

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

OpenML APIs