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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3058 Supervised Classification grub-damage 303 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.3491, kappa: 0.0888, kb_relative_information_score: 11.2071, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.347, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.0781, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.465, f_measure: 0.2208, kappa: -0.0278, kb_relative_information_score: 3.1599, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.2059, predictive_accuracy: 0.2745, prior_entropy: 1.9281, recall: 0.2745, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.448, root_relative_squared_error: 1.0541, scimark_benchmark: 885.0921, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.3837, kappa: 0.1661, kb_relative_information_score: 9.6426, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3991, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0005, scimark_benchmark: 912.5006, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.3014, kappa: 0.0465, kb_relative_information_score: 4.9534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3729, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0066, scimark_benchmark: 1337.7959, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.3332, kappa: 0.0973, kb_relative_information_score: 8.6796, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3576, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.3584, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.4852, kappa: 0.3043, kb_relative_information_score: 15.2285, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.492, predictive_accuracy: 0.4902, prior_entropy: 1.9281, recall: 0.4902, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0126, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.3326, kappa: 0.0921, kb_relative_information_score: 8.847, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3423, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1241, scimark_benchmark: 1376.7478, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 1327.8711, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.3456, kappa: 0.0976, kb_relative_information_score: 9.599, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3458, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.539, root_relative_squared_error: 1.2681, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 9.6254, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4678, root_relative_squared_error: 1.1007, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.2384, kappa: -0.0278, kb_relative_information_score: 3.9357, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.2281, predictive_accuracy: 0.2745, prior_entropy: 1.9281, recall: 0.2745, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.1032, scimark_benchmark: 1313.5726, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.4139, kappa: 0.1905, kb_relative_information_score: 12.8203, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.435, predictive_accuracy: 0.4118, prior_entropy: 1.9281, recall: 0.4118, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.276, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.3182, kappa: 0.1305, kb_relative_information_score: 13.4512, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3738, predictive_accuracy: 0.4314, prior_entropy: 1.9281, recall: 0.4314, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.2545, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.2597, kappa: -0.0431, kb_relative_information_score: 7.9288, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.268, predictive_accuracy: 0.2549, prior_entropy: 1.9281, recall: 0.2549, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.1618, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 9.2465, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.3383, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.3552, kappa: 0.2101, kb_relative_information_score: 13.5183, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3558, predictive_accuracy: 0.4118, prior_entropy: 1.9281, recall: 0.4118, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.276, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1036, kb_relative_information_score: 0.3496, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.065, predictive_accuracy: 0.2549, prior_entropy: 1.9281, recall: 0.2549, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0042, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.3328, kappa: 0.0697, kb_relative_information_score: 9.4766, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3449, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.1416, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.364, kappa: 0.1526, kb_relative_information_score: 11.7375, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4133, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.1979, scimark_benchmark: 942.4414, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.725, build_memory: 1437498576, f_measure: 0.364, kappa: 0.1526, kb_relative_information_score: 11.7375, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4133, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.1979, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.797, build_memory: 1136864424, f_measure: 0.364, kappa: 0.1526, kb_relative_information_score: 11.7375, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4133, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.1979, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.536, build_memory: 1375760408, f_measure: 0.364, kappa: 0.1526, kb_relative_information_score: 11.7309, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4133, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.509, root_relative_squared_error: 1.1976, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, build_cpu_time: 0.284, build_memory: 892358960, f_measure: 0.3496, kappa: 0.1293, kb_relative_information_score: 9.8073, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4001, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.204, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.001, build_memory: 374474568, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.0258, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0755, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.001, build_memory: 559618032, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.0258, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0755, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.002, build_memory: 791785232, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.0258, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0755, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.002, build_memory: 188807064, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.0258, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0755, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, build_cpu_time: 0.004, build_memory: 687342232, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.0258, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0755, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, build_cpu_time: 0.004, build_memory: 298919936, f_measure: 0.3353, kappa: 0.0825, kb_relative_information_score: 8.2533, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.348, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.3173, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, build_cpu_time: 0.003, build_memory: 1430347408, f_measure: 0.3353, kappa: 0.0825, kb_relative_information_score: 8.2533, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.348, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.3173, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, build_cpu_time: 0.002, build_memory: 493214616, f_measure: 0.3353, kappa: 0.0825, kb_relative_information_score: 8.2533, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.348, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.3173, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, build_cpu_time: 0.424, build_memory: 1268546008, f_measure: 0.3239, kappa: 0.0921, kb_relative_information_score: 10.6435, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3234, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4663, root_relative_squared_error: 1.0971, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, build_cpu_time: 0.024, build_memory: 151790600, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 918.4301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, build_cpu_time: 0.116, build_memory: 683788680, f_measure: 0.2412, kappa: -0.0112, kb_relative_information_score: 2.8799, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.2996, predictive_accuracy: 0.2353, prior_entropy: 1.9281, recall: 0.2353, relative_absolute_error: 1.051, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.4191, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, build_cpu_time: 0.005, build_memory: 1066077368, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, build_cpu_time: 0.006, build_memory: 1011868264, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 945.4151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, build_memory: 593231264, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 9.2465, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.3383, scimark_benchmark: 893.9645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, build_memory: 682557048, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 9.2465, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.3383, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 485949320, f_measure: 0.1036, kb_relative_information_score: 0.3496, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.065, predictive_accuracy: 0.2549, prior_entropy: 1.9281, recall: 0.2549, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0042, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.001, build_memory: 435861752, f_measure: 0.3328, kappa: 0.0697, kb_relative_information_score: 9.4766, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3449, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.1416, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, build_cpu_time: 0.276, build_memory: 622995008, f_measure: 0.3913, kappa: 0.1639, kb_relative_information_score: 8.6173, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.396, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9606, scimark_benchmark: 916.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, build_cpu_time: 0.334, build_memory: 361166928, f_measure: 0.3913, kappa: 0.1639, kb_relative_information_score: 8.6173, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.396, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.9606, scimark_benchmark: 941.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, build_cpu_time: 0.899, build_memory: 967185032, f_measure: 0.3789, kappa: 0.1753, kb_relative_information_score: 8.2981, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3895, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9653, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, build_cpu_time: 1.184, build_memory: 266434024, f_measure: 0.3654, kappa: 0.1338, kb_relative_information_score: 8.1722, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3704, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9681, scimark_benchmark: 928.8874,

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