Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 386754 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7523, kappa: 0.3278, kb_relative_information_score: 70.2735, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9615, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7252, kappa: 0.3132, kb_relative_information_score: 48.2037, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7604, predictive_accuracy: 0.7086, prior_entropy: 0.7928, recall: 0.7086, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.2063, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6591, kb_relative_information_score: 10.0742, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 17.1952, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9945, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.3263, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1254.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 103.563, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7067, kappa: 0.1658, kb_relative_information_score: 40.5946, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6986, predictive_accuracy: 0.7179, prior_entropy: 0.7928, recall: 0.7179, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.2185, scimark_benchmark: 473.1656, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7753, kappa: 0.3525, kb_relative_information_score: 67.6095, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7713, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9217, scimark_benchmark: 1237.8253, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125, scimark_benchmark: 1232.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.7694, kappa: 0.3263, kb_relative_information_score: 90.746, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7685, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1217.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7067, kappa: 0.1658, kb_relative_information_score: 40.5946, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6986, predictive_accuracy: 0.7179, prior_entropy: 0.7928, recall: 0.7179, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.2185, scimark_benchmark: 1237.3964, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7063, kappa: 0.1255, kb_relative_information_score: 69.7467, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.725, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9327, scimark_benchmark: 1249.4524, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7347, kappa: 0.2114, kb_relative_information_score: 155.9783, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259, scimark_benchmark: 1220.265, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.7469, kappa: 0.2602, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7423, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 17.326, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 15.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.7007, kappa: 0.1827, kb_relative_information_score: 45.5552, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7037, predictive_accuracy: 0.6979, prior_entropy: 0.7928, recall: 0.6979, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.2908, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.6874, kappa: 0.0711, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7069, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 2.453, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.7624, kappa: 0.3064, kb_relative_information_score: 244.1652, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7601, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928, usercpu_time_millis: 88.467, usercpu_time_millis_testing: 7.476, usercpu_time_millis_training: 80.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.7692, kappa: 0.3183, kb_relative_information_score: 278.3013, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7788, predictive_accuracy: 0.7981, prior_entropy: 0.7928, recall: 0.7981, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4493, root_relative_squared_error: 1.0551, usercpu_time_millis: 155.009, usercpu_time_millis_testing: 10.53, usercpu_time_millis_training: 144.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.7742, kappa: 0.3498, kb_relative_information_score: 253.475, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.77, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0827, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.7103, kappa: 0.1601, kb_relative_information_score: 123.1372, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6994, predictive_accuracy: 0.7313, prior_entropy: 0.7928, recall: 0.7313, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.2173, usercpu_time_millis: 2.87, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.6952, kappa: 0.0947, kb_relative_information_score: 210.0291, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.733, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1293, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.6952, kappa: 0.0947, kb_relative_information_score: 210.0291, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.733, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1293, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.7067, kappa: 0.1658, kb_relative_information_score: 92.1044, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6986, predictive_accuracy: 0.7179, prior_entropy: 0.7928, recall: 0.7179, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.2472, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.7326, kappa: 0.2236, kb_relative_information_score: 172.7897, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7245, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.1679, usercpu_time_millis: 403.055, usercpu_time_millis_testing: 4.315, usercpu_time_millis_training: 398.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.7015, kappa: 0.1121, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.735, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.765, kappa: 0.3224, kb_relative_information_score: 234.8553, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7601, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.1029, usercpu_time_millis: 2.5, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 241.0619, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0962, usercpu_time_millis: 2.625, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.7547, kappa: 0.2772, kb_relative_information_score: 244.1652, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7572, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.7232, kappa: 0.2232, kb_relative_information_score: 116.9306, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7187, predictive_accuracy: 0.7286, prior_entropy: 0.7928, recall: 0.7286, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.521, root_relative_squared_error: 1.2234, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.7015, kappa: 0.1121, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.735, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7339, kappa: 0.2079, kb_relative_information_score: 241.0619, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7568, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0962, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 0.737, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 166.5831, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 0.096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.6843, kappa: 0.0635, kb_relative_information_score: 197.6159, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7116, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.1423, usercpu_time_millis: 1.494, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.6558, kappa: -0.0132, kb_relative_information_score: 178.9963, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5795, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.1615, usercpu_time_millis: 38.764, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 38.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.6754, kappa: 0.0396, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7035, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, usercpu_time_millis: 1.218, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7735, kappa: 0.3556, kb_relative_information_score: 241.0619, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7688, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0962, usercpu_time_millis: 1.808, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.695, kappa: 0.0953, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 3.693, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 3.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.7379, kappa: 0.2353, kb_relative_information_score: 191.4094, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7313, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1488, usercpu_time_millis: 6.437, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 6.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.7408, kappa: 0.2438, kb_relative_information_score: 197.6159, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7347, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.1423, usercpu_time_millis: 6.331, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 5.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.7525, kappa: 0.2723, kb_relative_information_score: 234.8553, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7522, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.1029, usercpu_time_millis: 3.871, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 3.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.7326, kappa: 0.2236, kb_relative_information_score: 172.7897, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7245, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.1679, usercpu_time_millis: 36.51, usercpu_time_millis_testing: 9.725, usercpu_time_millis_training: 26.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 56.799, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 56.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 244.1652, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.139,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.6912, kappa: 0.0851, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 231.752, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.7646, kappa: 0.3118, kb_relative_information_score: 250.3717, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7632, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861, usercpu_time_millis: 10.707, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 10.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.7079, kappa: 0.1891, kb_relative_information_score: 73.4847, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.706, predictive_accuracy: 0.7099, prior_entropy: 0.7928, recall: 0.7099, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.2648, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.209,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7311, kappa: 0.2229, kb_relative_information_score: 63.0314, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7228, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0043, scimark_benchmark: 1097.8733, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 98.0272, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9483, scimark_benchmark: 1103.2571, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 188.3061, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.152, scimark_benchmark: 1029.8983, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7329, kappa: 0.207, kb_relative_information_score: 85.2515, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7403, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9487, scimark_benchmark: 1301.5503, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.7285, kappa: 0.1994, kb_relative_information_score: 49.8221, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.724, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.039, scimark_benchmark: 1334.3148, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7133, kappa: 0.1475, kb_relative_information_score: 58.7691, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7149, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.972, scimark_benchmark: 540.2876, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7315, kappa: 0.2105, kb_relative_information_score: 56.7649, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7262, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9886, scimark_benchmark: 1196.2798, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1126.0477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.6855, kappa: 0.0692, kb_relative_information_score: 35.635, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.746, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9703, scimark_benchmark: 980.5798, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455, scimark_benchmark: 633.1881, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7263, kappa: 0.1919, kb_relative_information_score: 46.4675, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7226, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9868, scimark_benchmark: 1008.1331, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6941, kappa: 0.0919, kb_relative_information_score: 35.7699, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6827, predictive_accuracy: 0.7406, prior_entropy: 0.7928, recall: 0.7406, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.9752, scimark_benchmark: 1104.9828, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7155, kappa: 0.1564, kb_relative_information_score: 47.0602, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7121, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793, scimark_benchmark: 1136.429, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7322, kappa: 0.2066, kb_relative_information_score: 38.7706, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7346, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0101, scimark_benchmark: 1043.8797, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7689, kappa: 0.3395, kb_relative_information_score: 52.9739, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7638, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9273, scimark_benchmark: 682.6919, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 82.4253, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9271, scimark_benchmark: 1049.3132, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.7023, kappa: 0.1149, kb_relative_information_score: 46.4716, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9361, scimark_benchmark: 1270.5305, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7454, kappa: 0.2643, kb_relative_information_score: -26.2756, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7386, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9521, scimark_benchmark: 979.7814, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7535, kappa: 0.275, kb_relative_information_score: 97.9314, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7539, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9199, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7546, kappa: 0.2778, kb_relative_information_score: 95.7783, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7556, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9194, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7525, kappa: 0.2723, kb_relative_information_score: 96.6006, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7522, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7535, kappa: 0.275, kb_relative_information_score: 97.9314, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7539, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9199, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7546, kappa: 0.2778, kb_relative_information_score: 95.7783, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7556, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9194, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7525, kappa: 0.2723, kb_relative_information_score: 96.6006, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7522, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7574, kappa: 0.2872, kb_relative_information_score: 97.16, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.758, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7593, kappa: 0.2932, kb_relative_information_score: 96.2492, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7599, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7244, kappa: 0.2206, kb_relative_information_score: 25.903, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7183, predictive_accuracy: 0.7326, prior_entropy: 0.7928, recall: 0.7326, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0068, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7488, kappa: 0.2662, kb_relative_information_score: 67.4471, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7444, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9576, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.7532, kappa: 0.2762, kb_relative_information_score: 80.1367, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7514, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9405, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7325, kappa: 0.2354, kb_relative_information_score: 48.9911, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7251, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.9739, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7244, kappa: 0.2206, kb_relative_information_score: 25.903, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7183, predictive_accuracy: 0.7326, prior_entropy: 0.7928, recall: 0.7326, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0068, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7514, kappa: 0.2696, kb_relative_information_score: 94.6995, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7506, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9282, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.118,

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