Task
Supervised Classification on cleveland

Supervised Classification on cleveland

Task 3651 Supervised Classification cleveland 488 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7793, kappa: 0.5555, kb_relative_information_score: 142.7286, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7867, predictive_accuracy: 0.7822, prior_entropy: 0.9951, recall: 0.7822, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7092, kappa: 0.4139, kb_relative_information_score: 74.9644, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7091, predictive_accuracy: 0.7096, prior_entropy: 0.9951, recall: 0.7096, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 160.1801, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8612, kappa: 0.7203, kb_relative_information_score: 218.1605, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8613, predictive_accuracy: 0.8614, prior_entropy: 0.9951, recall: 0.8614, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8342, kappa: 0.6655, kb_relative_information_score: 169.5702, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.836, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8216, kappa: 0.6403, kb_relative_information_score: 190.0985, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8216, predictive_accuracy: 0.8218, prior_entropy: 0.9951, recall: 0.8218, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.78, kappa: 0.5565, kb_relative_information_score: 136.3595, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7848, predictive_accuracy: 0.7822, prior_entropy: 0.9951, recall: 0.7822, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 175.2492, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7944, kappa: 0.5852, kb_relative_information_score: 150.7585, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7959, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 191.6707, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7756, kappa: 0.5481, kb_relative_information_score: 149.9206, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7756, predictive_accuracy: 0.7756, prior_entropy: 0.9951, recall: 0.7756, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7783, kappa: 0.553, kb_relative_information_score: 168.685, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7786, predictive_accuracy: 0.7789, prior_entropy: 0.9951, recall: 0.7789, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8514, kappa: 0.7008, kb_relative_information_score: 180.1844, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8514, predictive_accuracy: 0.8515, prior_entropy: 0.9951, recall: 0.8515, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7838, kappa: 0.564, kb_relative_information_score: 155.2553, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7872, predictive_accuracy: 0.7855, prior_entropy: 0.9951, recall: 0.7855, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7909, kappa: 0.5783, kb_relative_information_score: 163.1981, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7928, predictive_accuracy: 0.7921, prior_entropy: 0.9951, recall: 0.7921, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8372, kappa: 0.6717, kb_relative_information_score: 188.7491, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8403, predictive_accuracy: 0.8383, prior_entropy: 0.9951, recall: 0.8383, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 189.8144, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8184, kappa: 0.6343, kb_relative_information_score: 160.5458, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 0.9951, recall: 0.8185, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8299, kappa: 0.6571, kb_relative_information_score: 195.2557, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8364, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8116, kappa: 0.6201, kb_relative_information_score: 147.8121, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8064, kappa: 0.6098, kb_relative_information_score: 123.3143, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.813, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.3802, kb_relative_information_score: -0.0323, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.293, predictive_accuracy: 0.5413, prior_entropy: 0.9951, recall: 0.5413, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8253, kappa: 0.6487, kb_relative_information_score: 162.1839, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8259, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 164.9705, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.832, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7976, kappa: 0.5917, kb_relative_information_score: 165.5053, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7995, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6262, kb_relative_information_score: 144.2927, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7448, kappa: 0.4852, kb_relative_information_score: 130.6927, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9951, recall: 0.7459, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8248, kappa: 0.6468, kb_relative_information_score: 188.9437, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.825, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.841, kappa: 0.6792, kb_relative_information_score: 180.9901, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8422, predictive_accuracy: 0.8416, prior_entropy: 0.9951, recall: 0.8416, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8311, kappa: 0.6594, kb_relative_information_score: 192.6833, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.832, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8474, kappa: 0.6923, kb_relative_information_score: 210.0824, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8494, predictive_accuracy: 0.8482, prior_entropy: 0.9951, recall: 0.8482, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 189.9049, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.8342, kappa: 0.6655, kb_relative_information_score: 202.0043, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.836, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8402, kappa: 0.6778, kb_relative_information_score: 206.0433, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.845, predictive_accuracy: 0.8416, prior_entropy: 0.9951, recall: 0.8416, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.7482, kappa: 0.4921, kb_relative_information_score: 131.2702, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7489, predictive_accuracy: 0.7492, prior_entropy: 0.9951, recall: 0.7492, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8249, kappa: 0.6472, kb_relative_information_score: 187.3356, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8249, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8346, kappa: 0.6666, kb_relative_information_score: 191.8721, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.68, kappa: 0.3557, kb_relative_information_score: 107.0866, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6801, predictive_accuracy: 0.6799, prior_entropy: 0.9951, recall: 0.6799, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1355, scimark_benchmark: 1631.1992, usercpu_time_millis: 20156.25, usercpu_time_millis_training: 20156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3802, kb_relative_information_score: 22.2666, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.293, predictive_accuracy: 0.5413, prior_entropy: 0.9951, recall: 0.5413, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.6773, root_relative_squared_error: 1.3593, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3802, kb_relative_information_score: 22.2666, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.293, predictive_accuracy: 0.5413, prior_entropy: 0.9951, recall: 0.5413, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.6773, root_relative_squared_error: 1.3593, scimark_benchmark: 1313.219, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 1613.4341, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.68, kappa: 0.3557, kb_relative_information_score: 107.0866, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6801, predictive_accuracy: 0.6799, prior_entropy: 0.9951, recall: 0.6799, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1355, scimark_benchmark: 1643.8145, usercpu_time_millis: 15270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8345, kappa: 0.6662, kb_relative_information_score: 173.4347, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7642, scimark_benchmark: 1908.2191, usercpu_time_millis: 1312.5, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8118, kappa: 0.621, kb_relative_information_score: 189.1167, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8478, scimark_benchmark: 1908.2191, usercpu_time_millis: 1343.75, usercpu_time_millis_training: 1343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.834, kappa: 0.6651, kb_relative_information_score: 202.0043, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8366, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152, scimark_benchmark: 1827.4462, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7953, kappa: 0.5875, kb_relative_information_score: 173.5389, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7952, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8492, scimark_benchmark: 1274.7298, usercpu_time_millis: 1020, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8052, kappa: 0.6077, kb_relative_information_score: 188.3279, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8052, predictive_accuracy: 0.8053, prior_entropy: 0.9951, recall: 0.8053, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.816, scimark_benchmark: 1293.3306, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8346, kappa: 0.6666, kb_relative_information_score: 191.8721, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7309, scimark_benchmark: 1335.2909, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8112, kappa: 0.6193, kb_relative_information_score: 165.2663, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8121, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8007, scimark_benchmark: 1215.5105, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8406, kappa: 0.6785, kb_relative_information_score: 206.0433, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 0.9951, recall: 0.8416, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.834, kappa: 0.6651, kb_relative_information_score: 202.0043, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8366, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 174.2728, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7022, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7622, kappa: 0.521, kb_relative_information_score: 156.7341, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7622, predictive_accuracy: 0.7624, prior_entropy: 0.9951, recall: 0.7624, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9747, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8143, kappa: 0.6254, kb_relative_information_score: 172.0959, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.816, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7415, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 141.332, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.783, predictive_accuracy: 0.7822, prior_entropy: 0.9951, recall: 0.7822, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8392, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.7298, kappa: 0.4554, kb_relative_information_score: 103.5229, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7342, predictive_accuracy: 0.7327, prior_entropy: 0.9951, recall: 0.7327, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8936, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 148.8132, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8086, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7173, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 191.6707, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7326, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7448, kappa: 0.4852, kb_relative_information_score: 130.6927, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9951, recall: 0.7459, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.93, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8346, kappa: 0.6666, kb_relative_information_score: 191.8721, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7309, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8372, kappa: 0.6717, kb_relative_information_score: 204.0238, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8403, predictive_accuracy: 0.8383, prior_entropy: 0.9951, recall: 0.8383, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.807, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.834, kappa: 0.6651, kb_relative_information_score: 202.0043, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8366, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8109, kappa: 0.6185, kb_relative_information_score: 165.7376, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8129, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7979, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 174.2728, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7022, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7622, kappa: 0.521, kb_relative_information_score: 156.7341, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7622, predictive_accuracy: 0.7624, prior_entropy: 0.9951, recall: 0.7624, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9747, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8143, kappa: 0.6254, kb_relative_information_score: 172.0959, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.816, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7415, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7806, kappa: 0.5575, kb_relative_information_score: 133.2343, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7835, predictive_accuracy: 0.7822, prior_entropy: 0.9951, recall: 0.7822, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8242, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.7298, kappa: 0.4554, kb_relative_information_score: 103.5229, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7342, predictive_accuracy: 0.7327, prior_entropy: 0.9951, recall: 0.7327, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8936, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8076, kappa: 0.612, kb_relative_information_score: 145.799, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8093, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7248, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 191.6707, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7326, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7448, kappa: 0.4852, kb_relative_information_score: 130.6927, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9951, recall: 0.7459, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.93, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 174.2728, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7022, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8143, kappa: 0.6254, kb_relative_information_score: 172.0959, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.816, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7415, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8213, kappa: 0.6395, kb_relative_information_score: 170.2214, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8219, predictive_accuracy: 0.8218, prior_entropy: 0.9951, recall: 0.8218, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.78, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8109, kappa: 0.6185, kb_relative_information_score: 165.2826, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8129, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7426, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 130.0093, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.779, predictive_accuracy: 0.7789, prior_entropy: 0.9951, recall: 0.7789, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8367, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8149, kappa: 0.627, kb_relative_information_score: 157.6999, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7717, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8112, kappa: 0.6193, kb_relative_information_score: 164.0981, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8121, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7196, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8374, kappa: 0.672, kb_relative_information_score: 204.0238, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8397, predictive_accuracy: 0.8383, prior_entropy: 0.9951, recall: 0.8383, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.807, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8406, kappa: 0.6785, kb_relative_information_score: 206.0433, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 0.9951, recall: 0.8416, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1111.914, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 174.2728, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7022, scimark_benchmark: 1099.5816, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.78, kappa: 0.5565, kb_relative_information_score: 136.3595, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7848, predictive_accuracy: 0.7822, prior_entropy: 0.9951, recall: 0.7822, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8312, scimark_benchmark: 868.6161, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 157.9324, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 0.9951, recall: 0.8053, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7518, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7423, kappa: 0.4842, kb_relative_information_score: 154.3908, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.761, predictive_accuracy: 0.7492, prior_entropy: 0.9951, recall: 0.7492, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8588, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7596, kappa: 0.5184, kb_relative_information_score: 167.2634, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7781, predictive_accuracy: 0.7657, prior_entropy: 0.9951, recall: 0.7657, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8247, kappa: 0.6464, kb_relative_information_score: 162.5834, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7123, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8145, kappa: 0.6258, kb_relative_information_score: 163.512, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8156, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7404, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8252, kappa: 0.6483, kb_relative_information_score: 162.1919, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8255, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7417, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.8471, kappa: 0.6916, kb_relative_information_score: 210.0824, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8508, predictive_accuracy: 0.8482, prior_entropy: 0.9951, recall: 0.8482, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7819, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.834, kappa: 0.6651, kb_relative_information_score: 202.0043, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8366, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.76, kappa: 0.5162, kb_relative_information_score: 124.3265, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7645, predictive_accuracy: 0.7624, prior_entropy: 0.9951, recall: 0.7624, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8455, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7404, kappa: 0.4765, kb_relative_information_score: 109.8873, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7435, predictive_accuracy: 0.7426, prior_entropy: 0.9951, recall: 0.7426, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8818, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8309, kappa: 0.659, kb_relative_information_score: 184.4337, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8324, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7456, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 191.6707, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7326, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7762, kappa: 0.549, kb_relative_information_score: 141.8397, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7827, predictive_accuracy: 0.7789, prior_entropy: 0.9951, recall: 0.7789, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8506, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7448, kappa: 0.4852, kb_relative_information_score: 130.6927, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9951, recall: 0.7459, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.93, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.801, kappa: 0.5986, kb_relative_information_score: 152.1884, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8026, predictive_accuracy: 0.802, prior_entropy: 0.9951, recall: 0.802, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6262, kb_relative_information_score: 144.2927, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7284, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,

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