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Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 4511 Supervised Classification fri_c0_500_10 223 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8319, kappa: 0.6634, kb_relative_information_score: 2649.5435, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.834, predictive_accuracy: 0.8324, prior_entropy: 0.9991, recall: 0.8324, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8463, kappa: 0.692, kb_relative_information_score: 2428.8517, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8466, predictive_accuracy: 0.8464, prior_entropy: 0.9991, recall: 0.8464, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.681, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8421, kappa: 0.6836, kb_relative_information_score: 2819.4466, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9991, recall: 0.8422, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6648, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 904.0772, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8486, kappa: 0.6968, kb_relative_information_score: 2763.7621, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8492, predictive_accuracy: 0.8488, prior_entropy: 0.9991, recall: 0.8488, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6676, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8528, kappa: 0.7051, kb_relative_information_score: 2923.9268, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8528, prior_entropy: 0.9991, recall: 0.8528, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6431, scimark_benchmark: 941.6675, usercpu_time_millis: 10490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8112, kappa: 0.6217, kb_relative_information_score: 2573.6381, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8117, predictive_accuracy: 0.8114, prior_entropy: 0.9991, recall: 0.8114, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7565, scimark_benchmark: 944.1067, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 944.1783, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8671, kappa: 0.7338, kb_relative_information_score: 2760.9959, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8674, predictive_accuracy: 0.8672, prior_entropy: 0.9991, recall: 0.8672, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6338, scimark_benchmark: 937.5117, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8319, kappa: 0.6634, kb_relative_information_score: 2649.5435, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.834, predictive_accuracy: 0.8324, prior_entropy: 0.9991, recall: 0.8324, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8463, kappa: 0.692, kb_relative_information_score: 2428.8517, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8466, predictive_accuracy: 0.8464, prior_entropy: 0.9991, recall: 0.8464, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.681, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8421, kappa: 0.6836, kb_relative_information_score: 2819.4466, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9991, recall: 0.8422, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6648, scimark_benchmark: 940.1541, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 904.5548, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8486, kappa: 0.6968, kb_relative_information_score: 2763.7621, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8492, predictive_accuracy: 0.8488, prior_entropy: 0.9991, recall: 0.8488, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6676, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8528, kappa: 0.7051, kb_relative_information_score: 2923.9268, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8528, prior_entropy: 0.9991, recall: 0.8528, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6431, scimark_benchmark: 931.7096, usercpu_time_millis: 10100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8112, kappa: 0.6217, kb_relative_information_score: 2573.6381, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8117, predictive_accuracy: 0.8114, prior_entropy: 0.9991, recall: 0.8114, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7565, scimark_benchmark: 936.9595, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8671, kappa: 0.7338, kb_relative_information_score: 2760.9959, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8674, predictive_accuracy: 0.8672, prior_entropy: 0.9991, recall: 0.8672, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6338, scimark_benchmark: 938.988, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8626, kappa: 0.7248, kb_relative_information_score: 2645.5753, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.8628, prior_entropy: 0.9991, recall: 0.8628, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6426, scimark_benchmark: 917.5013, usercpu_time_millis: 3430, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.863, kappa: 0.7256, kb_relative_information_score: 2659.972, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8637, predictive_accuracy: 0.8632, prior_entropy: 0.9991, recall: 0.8632, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6415, scimark_benchmark: 934.7923, usercpu_time_millis: 1300, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8568, kappa: 0.7132, kb_relative_information_score: 2641.4489, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8575, predictive_accuracy: 0.857, prior_entropy: 0.9991, recall: 0.857, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6477, scimark_benchmark: 935.2002, usercpu_time_millis: 610, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.863, kappa: 0.7256, kb_relative_information_score: 2637.0426, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8637, predictive_accuracy: 0.8632, prior_entropy: 0.9991, recall: 0.8632, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6524, scimark_benchmark: 938.3401, usercpu_time_millis: 310, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8487, kappa: 0.6968, kb_relative_information_score: 2611.5755, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.849, predictive_accuracy: 0.8488, prior_entropy: 0.9991, recall: 0.8488, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6729, scimark_benchmark: 914.3583, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8678, kappa: 0.7354, kb_relative_information_score: 3382.9199, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8679, predictive_accuracy: 0.8678, prior_entropy: 0.9991, recall: 0.8678, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6124, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8678, kappa: 0.7354, kb_relative_information_score: 3382.9199, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8679, predictive_accuracy: 0.8678, prior_entropy: 0.9991, recall: 0.8678, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6124, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.867, kappa: 0.7338, kb_relative_information_score: 3381.1988, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8671, predictive_accuracy: 0.867, prior_entropy: 0.9991, recall: 0.867, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6125, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8658, kappa: 0.7314, kb_relative_information_score: 3346.5889, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.866, predictive_accuracy: 0.8658, prior_entropy: 0.9991, recall: 0.8658, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6151, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8502, kappa: 0.7001, kb_relative_information_score: 2964.3924, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8503, predictive_accuracy: 0.8502, prior_entropy: 0.9991, recall: 0.8502, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6556, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8856, kappa: 0.7709, kb_relative_information_score: 3767.7458, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9991, recall: 0.8856, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6208, scimark_benchmark: 938.3115, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8371, kappa: 0.6737, kb_relative_information_score: 3241.2664, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8373, predictive_accuracy: 0.8372, prior_entropy: 0.9991, recall: 0.8372, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7418, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8258, kappa: 0.6513, kb_relative_information_score: 2169.9298, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 0.9991, recall: 0.8258, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7333, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 1324.8408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8621, kappa: 0.7237, kb_relative_information_score: 3619.4034, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8625, predictive_accuracy: 0.8622, prior_entropy: 0.9991, recall: 0.8622, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7429, scimark_benchmark: 1317.7919, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8319, kappa: 0.6634, kb_relative_information_score: 2649.5435, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.834, predictive_accuracy: 0.8324, prior_entropy: 0.9991, recall: 0.8324, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8258, kappa: 0.6513, kb_relative_information_score: 2169.9298, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 0.9991, recall: 0.8258, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7333, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8528, kappa: 0.7051, kb_relative_information_score: 2923.9248, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8528, predictive_accuracy: 0.8528, prior_entropy: 0.9991, recall: 0.8528, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6431, scimark_benchmark: 1332.7986, usercpu_time_millis: 5310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.827, kappa: 0.6534, kb_relative_information_score: 2286.8718, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8276, predictive_accuracy: 0.8272, prior_entropy: 0.9991, recall: 0.8272, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7239, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8112, kappa: 0.6217, kb_relative_information_score: 2573.6381, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8117, predictive_accuracy: 0.8114, prior_entropy: 0.9991, recall: 0.8114, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7565, scimark_benchmark: 1354.5533, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8421, kappa: 0.6836, kb_relative_information_score: 2819.4466, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9991, recall: 0.8422, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6648, scimark_benchmark: 1307.9497, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8258, kappa: 0.6513, kb_relative_information_score: 2169.9298, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 0.9991, recall: 0.8258, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7333, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8112, kappa: 0.6217, kb_relative_information_score: 2573.6381, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8117, predictive_accuracy: 0.8114, prior_entropy: 0.9991, recall: 0.8114, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7565, scimark_benchmark: 1313.11, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8671, kappa: 0.7338, kb_relative_information_score: 2760.9959, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.8674, predictive_accuracy: 0.8672, prior_entropy: 0.9991, recall: 0.8672, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6338, scimark_benchmark: 1313.5633, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8319, kappa: 0.6634, kb_relative_information_score: 2649.5435, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4994, number_of_instances: 5000, precision: 0.834, predictive_accuracy: 0.8324, prior_entropy: 0.9991, recall: 0.8324, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 1309.4708,

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