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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: 0.8251, 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: 1317.5348, usercpu_time_millis: 3310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3230,
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: 1317.6232,
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: 1350.2591, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1317.7919, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7546, kappa: 0.4492, kb_relative_information_score: 1166.1293, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7573, predictive_accuracy: 0.7633, prior_entropy: 0.9335, recall: 0.7633, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1325.1654, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
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: 1352.3373, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, 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: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1347.7267, usercpu_time_millis: 4360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4280,
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: 1316.5396, 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: 1342.6744, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
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: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1371.4836, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
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: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 938.0414,
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: 940.3347, 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: 1322.7257, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, 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: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1341.5795, usercpu_time_millis: 3180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3110,
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: 938.0414,
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: 1288.1375,
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: 1312.2688,
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: 1354.3488, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, 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: 1354.3488, 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: 1343.2125,
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: 1312.0581,
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: 1064.8317,
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: 1339.8573, 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: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7239, kappa: 0.3831, kb_relative_information_score: 980.2248, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7225, predictive_accuracy: 0.7299, prior_entropy: 0.9335, recall: 0.7299, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9512, scimark_benchmark: 1327.2954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7355, kappa: 0.4115, kb_relative_information_score: 1287.5483, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.734, predictive_accuracy: 0.7393, prior_entropy: 0.9335, recall: 0.7393, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9052, scimark_benchmark: 1327.2954, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.7012, kappa: 0.3372, kb_relative_information_score: 881.0852, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.6993, predictive_accuracy: 0.7039, prior_entropy: 0.9335, recall: 0.7039, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9786, scimark_benchmark: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7377, kappa: 0.409, kb_relative_information_score: 813.6042, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7565, predictive_accuracy: 0.7568, prior_entropy: 0.9335, recall: 0.7568, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8616, scimark_benchmark: 1333.8751, usercpu_time_millis: 450, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 380,
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: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7273, kappa: 0.3934, kb_relative_information_score: 1275.0187, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7256, predictive_accuracy: 0.731, prior_entropy: 0.9335, recall: 0.731, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9301, scimark_benchmark: 1327.2954, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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: 916.5769, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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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: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6835, kappa: 0.2904, kb_relative_information_score: 1087.8798, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.6816, predictive_accuracy: 0.6935, prior_entropy: 0.9335, recall: 0.6935, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0324, scimark_benchmark: 918.0213, usercpu_time_millis: 2020, usercpu_time_millis_testing: 2020,
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: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7163, kappa: 0.3644, kb_relative_information_score: 725.3991, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7157, predictive_accuracy: 0.7247, prior_entropy: 0.9335, recall: 0.7247, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9242, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7177, kappa: 0.3653, kb_relative_information_score: 1241.7255, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7202, predictive_accuracy: 0.7297, prior_entropy: 0.9335, recall: 0.7297, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.978, scimark_benchmark: 1363.434,
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: 887.6719, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7252, kappa: 0.3809, kb_relative_information_score: 796.0082, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7411, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8731, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 1202.9942, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7627, predictive_accuracy: 0.768, prior_entropy: 0.9335, recall: 0.768, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372, scimark_benchmark: 940.3347, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7367, kappa: 0.4228, kb_relative_information_score: 1094.8089, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7378, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.901, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7562, kappa: 0.4564, kb_relative_information_score: 1376.128, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7554, predictive_accuracy: 0.7607, prior_entropy: 0.9335, recall: 0.7607, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8674, scimark_benchmark: 915.6729, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7547, kappa: 0.452, kb_relative_information_score: 1368.5063, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7541, predictive_accuracy: 0.7599, prior_entropy: 0.9335, recall: 0.7599, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.859, scimark_benchmark: 942.6843, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7525, kappa: 0.446, kb_relative_information_score: 1327.5548, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7529, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8575, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7564, kappa: 0.4559, kb_relative_information_score: 1279.2106, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.756, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8555, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.75, kappa: 0.4398, kb_relative_information_score: 1227.4331, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7508, predictive_accuracy: 0.7573, prior_entropy: 0.9335, recall: 0.7573, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8615, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7204, kappa: 0.3751, kb_relative_information_score: 1092.3405, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.719, predictive_accuracy: 0.7268, prior_entropy: 0.9335, recall: 0.7268, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9111, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7188, kappa: 0.374, kb_relative_information_score: 1152.0339, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.717, predictive_accuracy: 0.7232, prior_entropy: 0.9335, recall: 0.7232, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9448, scimark_benchmark: 940.3347, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.4949, kappa: 0.0225, kb_relative_information_score: -674.2258, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.5584, predictive_accuracy: 0.4867, prior_entropy: 0.9335, recall: 0.4867, relative_absolute_error: 1.1294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7164, root_relative_squared_error: 1.5031, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, 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: 938.343, usercpu_time_millis: 560, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.75, kappa: 0.438, kb_relative_information_score: 1734.4207, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7549, predictive_accuracy: 0.7607, prior_entropy: 0.9335, recall: 0.7607, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0264, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7546, kappa: 0.4492, kb_relative_information_score: 1166.1293, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.7573, predictive_accuracy: 0.7633, prior_entropy: 0.9335, recall: 0.7633, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1318.1432, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.602, kappa: 0.1058, kb_relative_information_score: 688.079, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4545, number_of_instances: 3840, precision: 0.6054, predictive_accuracy: 0.6417, prior_entropy: 0.9335, recall: 0.6417, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5986, root_relative_squared_error: 1.2559, scimark_benchmark: 916.9356, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 1330.0694, usercpu_time_millis: 2430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2360,
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: 1363.434, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, 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: 1028.5889,
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: 1309.3173, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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