Task
Supervised Classification on fri_c3_250_25

Supervised Classification on fri_c3_250_25

Task 3697 Supervised Classification fri_c3_250_25 550 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7913, kappa: 0.5764, kb_relative_information_score: 134.9465, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7915, predictive_accuracy: 0.792, prior_entropy: 0.9911, recall: 0.792, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8492, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7785, kappa: 0.5499, kb_relative_information_score: 124.4014, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9911, recall: 0.78, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8764, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3973, kb_relative_information_score: 23.9577, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8117, kappa: 0.6182, kb_relative_information_score: 150.7017, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8418, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8236, kappa: 0.6422, kb_relative_information_score: 64.8305, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8237, predictive_accuracy: 0.824, prior_entropy: 0.9911, recall: 0.824, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8183, scimark_benchmark: 924.4107, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6697, kappa: 0.3298, kb_relative_information_score: 33.9519, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6752, predictive_accuracy: 0.676, prior_entropy: 0.9911, recall: 0.676, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9273, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 117.372, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 919.6941, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.811, kappa: 0.6161, kb_relative_information_score: 139.6788, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7404, scimark_benchmark: 906.0884, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6334, kappa: 0.256, kb_relative_information_score: 66.7156, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9911, recall: 0.64, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2076, scimark_benchmark: 945.0194, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8436, kappa: 0.6826, kb_relative_information_score: 130.7085, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6185, kappa: 0.2254, kb_relative_information_score: 42.044, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6179, predictive_accuracy: 0.62, prior_entropy: 0.9911, recall: 0.62, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9954, scimark_benchmark: 944.5341, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8353, kappa: 0.6657, kb_relative_information_score: 149.0874, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9911, recall: 0.836, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7293, scimark_benchmark: 952.4682, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 94.4895, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7412, scimark_benchmark: 949.7766, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6334, kappa: 0.256, kb_relative_information_score: 66.7156, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9911, recall: 0.64, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2076, scimark_benchmark: 1337.1889, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8436, kappa: 0.6826, kb_relative_information_score: 130.7085, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865, scimark_benchmark: 1327.5842, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 117.372, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 134.3509, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7372, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 94.4895, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7412, scimark_benchmark: 1353.0836, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 134.3509, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7372, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.811, kappa: 0.6161, kb_relative_information_score: 139.6788, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7404, scimark_benchmark: 1336.0954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 117.372, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 1336.0954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 134.3509, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7372, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8436, kappa: 0.6826, kb_relative_information_score: 130.7085, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6334, kappa: 0.256, kb_relative_information_score: 66.7156, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9911, recall: 0.64, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2076, scimark_benchmark: 1316.5668, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 94.4895, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7412, scimark_benchmark: 1315.933, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8436, kappa: 0.6826, kb_relative_information_score: 130.7085, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6865, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 94.4895, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7412, scimark_benchmark: 1311.9814, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7998, kappa: 0.5942, kb_relative_information_score: 136.1082, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9911, recall: 0.8, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7312, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8195, kappa: 0.6338, kb_relative_information_score: 153.6261, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9911, recall: 0.82, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8332, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 117.372, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 1345.3152, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1301.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.811, kappa: 0.6161, kb_relative_information_score: 139.6788, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7404, scimark_benchmark: 916.6405, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.811, kappa: 0.6161, kb_relative_information_score: 139.6788, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7404, scimark_benchmark: 906.4475, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.811, kappa: 0.6161, kb_relative_information_score: 139.6788, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7404, scimark_benchmark: 1064.8317, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8149, kappa: 0.6239, kb_relative_information_score: 84.7156, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8164, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7644, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.784, kappa: 0.5625, kb_relative_information_score: 122.3003, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8234, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.6253, kappa: 0.2395, kb_relative_information_score: 62.6435, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6285, predictive_accuracy: 0.632, prior_entropy: 0.9911, recall: 0.632, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2209, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 117.372, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8273, kappa: 0.6494, kb_relative_information_score: 87.5333, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7556, scimark_benchmark: 1314.0383, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,

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