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Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 4439 Supervised Classification fri_c1_500_5 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8316, kappa: 0.6614, kb_relative_information_score: 2920.8948, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8328, prior_entropy: 0.9967, recall: 0.8328, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7175, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8523, kappa: 0.703, kb_relative_information_score: 2597.9759, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9967, recall: 0.8526, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6818, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8478, kappa: 0.6939, kb_relative_information_score: 3004.6466, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8495, predictive_accuracy: 0.8484, prior_entropy: 0.9967, recall: 0.8484, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6849, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 944.1067, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 2857.5583, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8384, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7023, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8723, kappa: 0.7432, kb_relative_information_score: 3215.4473, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8741, predictive_accuracy: 0.8728, prior_entropy: 0.9967, recall: 0.8728, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6071, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7041, kappa: 0.4059, kb_relative_information_score: 1173.9184, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7044, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.885, scimark_benchmark: 926.576, usercpu_time_millis: 1220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8556, kappa: 0.7095, kb_relative_information_score: 3104.3627, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 0.9967, recall: 0.8558, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6943, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 3450.8245, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8922, predictive_accuracy: 0.8918, prior_entropy: 0.9967, recall: 0.8918, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5616, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 2857.5583, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8384, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7023, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 3450.8245, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8922, predictive_accuracy: 0.8918, prior_entropy: 0.9967, recall: 0.8918, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5616, scimark_benchmark: 943.1009, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8316, kappa: 0.6614, kb_relative_information_score: 2920.8948, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8328, prior_entropy: 0.9967, recall: 0.8328, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7175, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8523, kappa: 0.703, kb_relative_information_score: 2597.9759, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9967, recall: 0.8526, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6818, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8478, kappa: 0.6939, kb_relative_information_score: 3004.6466, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8495, predictive_accuracy: 0.8484, prior_entropy: 0.9967, recall: 0.8484, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6849, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 943.6618, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8723, kappa: 0.7432, kb_relative_information_score: 3215.4473, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8741, predictive_accuracy: 0.8728, prior_entropy: 0.9967, recall: 0.8728, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6071, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7041, kappa: 0.4059, kb_relative_information_score: 1173.9184, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7044, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.885, scimark_benchmark: 930.404, usercpu_time_millis: 1260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8556, kappa: 0.7095, kb_relative_information_score: 3104.3627, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 0.9967, recall: 0.8558, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6943, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 3450.8245, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8922, predictive_accuracy: 0.8918, prior_entropy: 0.9967, recall: 0.8918, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5616, scimark_benchmark: 936.9595, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9007, kappa: 0.8002, kb_relative_information_score: 3150.5437, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.901, predictive_accuracy: 0.9008, prior_entropy: 0.9967, recall: 0.9008, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5533, scimark_benchmark: 901.4991, usercpu_time_millis: 1230, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9019, kappa: 0.8026, kb_relative_information_score: 3177.0168, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.9022, predictive_accuracy: 0.902, prior_entropy: 0.9967, recall: 0.902, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5521, scimark_benchmark: 933.3455, usercpu_time_millis: 610, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8997, kappa: 0.7983, kb_relative_information_score: 3167.9491, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8999, predictive_accuracy: 0.8998, prior_entropy: 0.9967, recall: 0.8998, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5566, scimark_benchmark: 921.466, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8977, kappa: 0.7943, kb_relative_information_score: 3164.0442, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8978, predictive_accuracy: 0.8978, prior_entropy: 0.9967, recall: 0.8978, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5646, scimark_benchmark: 921.2615, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8911, kappa: 0.7811, kb_relative_information_score: 3097.2447, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9967, recall: 0.8912, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.584, scimark_benchmark: 939.7241, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8152, kappa: 0.6282, kb_relative_information_score: 2651.0135, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8156, prior_entropy: 0.9967, recall: 0.8156, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7267, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8152, kappa: 0.6282, kb_relative_information_score: 2651.0135, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8156, prior_entropy: 0.9967, recall: 0.8156, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7267, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8152, kappa: 0.6282, kb_relative_information_score: 2651.0135, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8156, prior_entropy: 0.9967, recall: 0.8156, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7267, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8152, kappa: 0.6282, kb_relative_information_score: 2651.0135, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8158, predictive_accuracy: 0.8156, prior_entropy: 0.9967, recall: 0.8156, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7267, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8102, kappa: 0.6183, kb_relative_information_score: 2553.2794, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8111, predictive_accuracy: 0.8108, prior_entropy: 0.9967, recall: 0.8108, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7359, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8602, kappa: 0.719, kb_relative_information_score: 3568.386, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9967, recall: 0.8604, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6912, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8723, kappa: 0.7432, kb_relative_information_score: 3215.4473, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8741, predictive_accuracy: 0.8728, prior_entropy: 0.9967, recall: 0.8728, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6071, scimark_benchmark: 1342.8584, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7041, kappa: 0.4059, kb_relative_information_score: 1173.9184, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7044, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.885, scimark_benchmark: 1332.7986, usercpu_time_millis: 1180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8478, kappa: 0.6939, kb_relative_information_score: 3004.6466, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8495, predictive_accuracy: 0.8484, prior_entropy: 0.9967, recall: 0.8484, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6849, scimark_benchmark: 1358.6198, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8376, kappa: 0.6733, kb_relative_information_score: 2857.5583, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8384, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7023, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8723, kappa: 0.7432, kb_relative_information_score: 3215.4473, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8741, predictive_accuracy: 0.8728, prior_entropy: 0.9967, recall: 0.8728, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6071, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8556, kappa: 0.7095, kb_relative_information_score: 3104.3627, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 0.9967, recall: 0.8558, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6943, scimark_benchmark: 1322.1893, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 3450.8245, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8922, predictive_accuracy: 0.8918, prior_entropy: 0.9967, recall: 0.8918, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5616, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8316, kappa: 0.6614, kb_relative_information_score: 2920.8948, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8328, prior_entropy: 0.9967, recall: 0.8328, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7175, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6544, kappa: 0.3049, kb_relative_information_score: 906.7277, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6553, predictive_accuracy: 0.6562, prior_entropy: 0.9967, recall: 0.6562, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9227, scimark_benchmark: 1417.3093, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8586, kappa: 0.7158, kb_relative_information_score: 3449.8039, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8588, predictive_accuracy: 0.8588, prior_entropy: 0.9967, recall: 0.8588, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7157, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8478, kappa: 0.6939, kb_relative_information_score: 3004.6466, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8495, predictive_accuracy: 0.8484, prior_entropy: 0.9967, recall: 0.8484, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6849, scimark_benchmark: 1330.4755, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8631, kappa: 0.7246, kb_relative_information_score: 3199.8411, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8639, predictive_accuracy: 0.8634, prior_entropy: 0.9967, recall: 0.8634, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.653, scimark_benchmark: 1367.3264, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8464, kappa: 0.691, kb_relative_information_score: 2976.7464, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8472, prior_entropy: 0.9967, recall: 0.8472, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6789, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8452, kappa: 0.6888, kb_relative_information_score: 3011.0213, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8489, predictive_accuracy: 0.8462, prior_entropy: 0.9967, recall: 0.8462, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6772, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8523, kappa: 0.703, kb_relative_information_score: 2597.9759, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8526, prior_entropy: 0.9967, recall: 0.8526, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6818, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8705, kappa: 0.7401, kb_relative_information_score: 3695.2484, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8709, predictive_accuracy: 0.8704, prior_entropy: 0.9967, recall: 0.8704, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7217, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8556, kappa: 0.7095, kb_relative_information_score: 3104.3627, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 0.9967, recall: 0.8558, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6943, scimark_benchmark: 1347.699, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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