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Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1801 Supervised Classification diabetes 354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7435, kappa: 0.4298, kb_relative_information_score: 1074.1357, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.742, predictive_accuracy: 0.7466, prior_entropy: 0.9335, recall: 0.7466, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8867, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7379, kappa: 0.4202, kb_relative_information_score: 855.9544, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7368, predictive_accuracy: 0.7393, prior_entropy: 0.9335, recall: 0.7393, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8787, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.734, kappa: 0.41, kb_relative_information_score: 1153.5086, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7325, predictive_accuracy: 0.7365, prior_entropy: 0.9335, recall: 0.7365, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8945, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 916.0735, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7457, kappa: 0.438, kb_relative_information_score: 1273.073, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7448, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8693, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7583, kappa: 0.4618, kb_relative_information_score: 1216.4514, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7572, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 931.771, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 941.3847, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7354, kappa: 0.4138, kb_relative_information_score: 1095.1694, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7341, predictive_accuracy: 0.7375, prior_entropy: 0.9335, recall: 0.7375, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9066, scimark_benchmark: 938.5498, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 943.1009, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7435, kappa: 0.4298, kb_relative_information_score: 1074.1357, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.742, predictive_accuracy: 0.7466, prior_entropy: 0.9335, recall: 0.7466, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8867, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7379, kappa: 0.4202, kb_relative_information_score: 855.9544, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7368, predictive_accuracy: 0.7393, prior_entropy: 0.9335, recall: 0.7393, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8787, scimark_benchmark: 935.2002, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.734, kappa: 0.41, kb_relative_information_score: 1153.5086, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7325, predictive_accuracy: 0.7365, prior_entropy: 0.9335, recall: 0.7365, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8945, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 930.404, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7457, kappa: 0.438, kb_relative_information_score: 1273.073, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7448, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8693, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7583, kappa: 0.4618, kb_relative_information_score: 1216.4514, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7572, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7587, kappa: 0.4598, kb_relative_information_score: 1278.3267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7593, predictive_accuracy: 0.7651, prior_entropy: 0.9335, recall: 0.7651, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 932.438, usercpu_time_millis: 4720, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7354, kappa: 0.4138, kb_relative_information_score: 1095.1694, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7341, predictive_accuracy: 0.7375, prior_entropy: 0.9335, recall: 0.7375, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9066, scimark_benchmark: 1051.249, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 901.4991, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7587, kappa: 0.4584, kb_relative_information_score: 1088.7294, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7616, predictive_accuracy: 0.7672, prior_entropy: 0.9335, recall: 0.7672, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8378, scimark_benchmark: 919.9068, usercpu_time_millis: 3630, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7589, kappa: 0.459, kb_relative_information_score: 1088.7342, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8386, scimark_benchmark: 935.2002, usercpu_time_millis: 1320, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7589, kappa: 0.4593, kb_relative_information_score: 1093.5889, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7609, predictive_accuracy: 0.7667, prior_entropy: 0.9335, recall: 0.7667, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8378, scimark_benchmark: 917.2109, usercpu_time_millis: 650, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.758, kappa: 0.4572, kb_relative_information_score: 1083.2505, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7601, predictive_accuracy: 0.7659, prior_entropy: 0.9335, recall: 0.7659, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 930.0399, usercpu_time_millis: 390, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7562, kappa: 0.4542, kb_relative_information_score: 1106.6157, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7568, predictive_accuracy: 0.7628, prior_entropy: 0.9335, recall: 0.7628, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8453, scimark_benchmark: 894.7131, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7486, kappa: 0.4387, kb_relative_information_score: 1293.9622, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7486, kappa: 0.4387, kb_relative_information_score: 1293.9622, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7486, kappa: 0.4387, kb_relative_information_score: 1293.9622, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7486, kappa: 0.4387, kb_relative_information_score: 1293.9622, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7444, kappa: 0.429, kb_relative_information_score: 1274.13, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7437, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -2.0021, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7536, kappa: 0.4482, kb_relative_information_score: 1683.9495, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7545, predictive_accuracy: 0.7607, prior_entropy: 0.9335, recall: 0.7607, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9531, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1332.9478, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7232, kappa: 0.3779, kb_relative_information_score: 839.9503, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7254, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9116, scimark_benchmark: 1339.6197, usercpu_time_millis: 1080, usercpu_time_millis_testing: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1324.7884, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1342.6744, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1338.5214, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1306.9281, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7457, kappa: 0.438, kb_relative_information_score: 1273.073, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7448, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8693, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1366.7181, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7583, kappa: 0.4618, kb_relative_information_score: 1216.4514, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7572, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 1350.2591, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7435, kappa: 0.4298, kb_relative_information_score: 1074.1357, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.742, predictive_accuracy: 0.7466, prior_entropy: 0.9335, recall: 0.7466, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8867, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7457, kappa: 0.438, kb_relative_information_score: 1273.073, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7448, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8693, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7587, kappa: 0.4598, kb_relative_information_score: 1278.3267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7593, predictive_accuracy: 0.7651, prior_entropy: 0.9335, recall: 0.7651, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 1306.8702, usercpu_time_millis: 3860, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.758, kappa: 0.4606, kb_relative_information_score: 1224.8305, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7571, predictive_accuracy: 0.7622, prior_entropy: 0.9335, recall: 0.7622, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1324.6442, usercpu_time_millis: 310, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7435, kappa: 0.4298, kb_relative_information_score: 1074.1357, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.742, predictive_accuracy: 0.7466, prior_entropy: 0.9335, recall: 0.7466, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8867, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7379, kappa: 0.4202, kb_relative_information_score: 855.9544, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7368, predictive_accuracy: 0.7393, prior_entropy: 0.9335, recall: 0.7393, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8787, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 770.5042, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1350.7721, usercpu_time_millis: 380, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7457, kappa: 0.438, kb_relative_information_score: 1273.073, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7448, predictive_accuracy: 0.7469, prior_entropy: 0.9335, recall: 0.7469, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8693, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7454, kappa: 0.4362, kb_relative_information_score: 1248.6892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7442, predictive_accuracy: 0.7471, prior_entropy: 0.9335, recall: 0.7471, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7583, kappa: 0.4618, kb_relative_information_score: 1216.4514, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7572, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 1337.3324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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