OpenML
Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 3673 Supervised Classification fri_c0_100_10 754 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4951, kappa: -0.0225, kb_relative_information_score: -0.9777, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4937, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 1151.3336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 34.429, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8221, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7719, scimark_benchmark: 896.937, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7682, kappa: 0.5306, kb_relative_information_score: 48.2818, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9288, scimark_benchmark: 1360.1753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7754, kappa: 0.5464, kb_relative_information_score: 21.0899, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7875, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8547, scimark_benchmark: 1261.7298, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6163, kappa: 0.2229, kb_relative_information_score: 16.6882, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9875, scimark_benchmark: 904.3681, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6845, kappa: 0.3621, kb_relative_information_score: 35.2962, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6906, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0367, scimark_benchmark: 1297.2338, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.819, kappa: 0.6334, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 29.3975, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9968, scimark_benchmark: 1311.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8066, kappa: 0.6091, kb_relative_information_score: 21.3527, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8172, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8513, scimark_benchmark: 1360.2771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 55.1313, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7575, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.601, kappa: 0.1984, kb_relative_information_score: 18.4787, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6038, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2048, scimark_benchmark: 1330.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.601, kappa: 0.1984, kb_relative_information_score: 18.4787, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6038, predictive_accuracy: 0.6, prior_entropy: 0.9931, recall: 0.6, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2048, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4951, kappa: -0.0225, kb_relative_information_score: -0.9777, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4937, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.86, kappa: 0.7172, kb_relative_information_score: 45.6409, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7119, scimark_benchmark: 1360.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8003, kappa: 0.5976, kb_relative_information_score: 41.1131, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7389, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7995, kappa: 0.5943, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6888, kappa: 0.3699, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, scimark_benchmark: 1334.8272, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.6071, kappa: 0.2353, kb_relative_information_score: 3.2438, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6325, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.075, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.5535, kappa: 0.0965, kb_relative_information_score: 6.7516, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5541, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0703, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.8362, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0882, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 46.6629, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7476, scimark_benchmark: 1353.1316, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, kappa: 0.0099, kb_relative_information_score: 0.371, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5101, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0935, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8104, kappa: 0.6185, kb_relative_information_score: 60.6852, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8123, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7518, scimark_benchmark: 1323.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7302, kappa: 0.4556, kb_relative_information_score: 39.4704, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8973, scimark_benchmark: 1373.2982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7302, kappa: 0.4556, kb_relative_information_score: 39.4704, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8973, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7215, kappa: 0.4398, kb_relative_information_score: 17.8548, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.887, scimark_benchmark: 1338.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.798, kappa: 0.591, kb_relative_information_score: 34.6437, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.802, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.779, scimark_benchmark: 1349.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 46.003, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7084, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3488, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7707, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6888, kappa: 0.3699, kb_relative_information_score: 36.5001, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1071, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.4971, kappa: 0.0538, kb_relative_information_score: 0.2624, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5506, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9941, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 46.6629, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7476, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.7945, kappa: 0.5859, kb_relative_information_score: 20.7236, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8141, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8562, scimark_benchmark: 860.584, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7659, kappa: 0.5267, kb_relative_information_score: 19.2952, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.775, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8716, scimark_benchmark: 1363.454,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8797, kappa: 0.7566, kb_relative_information_score: 70.6182, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9931, recall: 0.88, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6509, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7481, kappa: 0.4898, kb_relative_information_score: 46.753, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.901, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7103, kappa: 0.4153, kb_relative_information_score: 41.1651, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7107, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9299, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8896, kappa: 0.7764, kb_relative_information_score: 74.719, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9931, recall: 0.89, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6498, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8797, kappa: 0.7566, kb_relative_information_score: 70.6182, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9931, recall: 0.88, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6509, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 63.2325, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7085, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 55.1313, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7575, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 49.0037, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7602, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.6246, kappa: 0.309, kb_relative_information_score: 37.2162, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7087, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.884, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7805, kappa: 0.5591, kb_relative_information_score: 53.1264, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7836, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8105, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7328, kappa: 0.4617, kb_relative_information_score: 40.8908, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7486, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8155, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.7795, kappa: 0.5538, kb_relative_information_score: 42.8034, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7809, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 42.7025, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0123, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7142, kappa: 0.4227, kb_relative_information_score: 11.4073, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7235, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9231, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7158, kappa: 0.4251, kb_relative_information_score: 18.1735, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7212, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8898, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 891.2195, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 941.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 67.533, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8036, scimark_benchmark: 889.9795, usercpu_time_millis: 130, usercpu_time_millis_training: 130,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs