Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3497 Supervised Classification grub-damage 506 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.3736, kappa: 0.1412, kb_relative_information_score: 27.0983, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3717, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.5131, kappa: 0.3359, kb_relative_information_score: 30.3985, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5134, predictive_accuracy: 0.5161, prior_entropy: 1.9281, recall: 0.5161, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.4834, kappa: 0.3069, kb_relative_information_score: 52.6751, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4833, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.2821, kappa: 0.0688, kb_relative_information_score: 13.7231, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3059, predictive_accuracy: 0.3484, prior_entropy: 1.9281, recall: 0.3484, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5131, kappa: 0.3359, kb_relative_information_score: 55.557, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5134, predictive_accuracy: 0.5161, prior_entropy: 1.9281, recall: 0.5161, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.4235, kappa: 0.2207, kb_relative_information_score: 17.5716, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4288, predictive_accuracy: 0.4452, prior_entropy: 1.9281, recall: 0.4452, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.3767, kappa: 0.142, kb_relative_information_score: 25.0519, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3745, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.5073, kappa: 0.3274, kb_relative_information_score: 27.3543, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5098, predictive_accuracy: 0.5097, prior_entropy: 1.9281, recall: 0.5097, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.3903, kappa: 0.1641, kb_relative_information_score: 35.8625, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3882, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.4952, kappa: 0.3177, kb_relative_information_score: 48.4119, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4922, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.3652, kappa: 0.1313, kb_relative_information_score: 34.4106, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3637, predictive_accuracy: 0.3677, prior_entropy: 1.9281, recall: 0.3677, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.4999, kappa: 0.3287, kb_relative_information_score: 55.7705, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4991, predictive_accuracy: 0.5097, prior_entropy: 1.9281, recall: 0.5097, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.4476, kappa: 0.2427, kb_relative_information_score: 39.9108, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4462, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.4568, kappa: 0.2523, kb_relative_information_score: 29.3067, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4558, predictive_accuracy: 0.4581, prior_entropy: 1.9281, recall: 0.4581, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.3828, kappa: 0.1546, kb_relative_information_score: 35.3973, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3867, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4431, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.4029, kappa: 0.1865, kb_relative_information_score: 31.6069, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3991, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4726, f_measure: 0.1519, kb_relative_information_score: 0.1522, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.0999, predictive_accuracy: 0.3161, prior_entropy: 1.9281, recall: 0.3161, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.4235, kappa: 0.2207, kb_relative_information_score: 41.4784, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4288, predictive_accuracy: 0.4452, prior_entropy: 1.9281, recall: 0.4452, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.4007, kappa: 0.1816, kb_relative_information_score: 42.8474, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4003, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.4586, kappa: 0.2659, kb_relative_information_score: 41.1469, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4598, predictive_accuracy: 0.471, prior_entropy: 1.9281, recall: 0.471, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.4611, kappa: 0.2596, kb_relative_information_score: 32.4789, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4593, predictive_accuracy: 0.4645, prior_entropy: 1.9281, recall: 0.4645, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3799, kappa: 0.1506, kb_relative_information_score: 35.6518, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3771, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.5256, kappa: 0.3566, kb_relative_information_score: 55.3683, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5265, predictive_accuracy: 0.529, prior_entropy: 1.9281, recall: 0.529, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.4743, kappa: 0.2759, kb_relative_information_score: 36.0517, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4743, predictive_accuracy: 0.4774, prior_entropy: 1.9281, recall: 0.4774, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.5128, kappa: 0.3358, kb_relative_information_score: 55.9927, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5139, predictive_accuracy: 0.5161, prior_entropy: 1.9281, recall: 0.5161, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3799, kappa: 0.1506, kb_relative_information_score: 35.6518, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3771, predictive_accuracy: 0.3871, prior_entropy: 1.9281, recall: 0.3871, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.4929, kappa: 0.3227, kb_relative_information_score: 53.2945, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4904, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5047, kappa: 0.3207, kb_relative_information_score: 37.0259, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.506, predictive_accuracy: 0.5097, prior_entropy: 1.9281, recall: 0.5097, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.3707, kappa: 0.1361, kb_relative_information_score: 30.9588, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3719, predictive_accuracy: 0.3742, prior_entropy: 1.9281, recall: 0.3742, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5051, kappa: 0.3202, kb_relative_information_score: 38.3789, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5043, predictive_accuracy: 0.5097, prior_entropy: 1.9281, recall: 0.5097, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.4791, kappa: 0.2912, kb_relative_information_score: 54.6024, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4807, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.4652, kappa: 0.2749, kb_relative_information_score: 26.6188, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4565, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.5264, kappa: 0.3552, kb_relative_information_score: 47.2253, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5269, predictive_accuracy: 0.5355, prior_entropy: 1.9281, recall: 0.5355, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.4304, kappa: 0.2176, kb_relative_information_score: 43.4222, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4296, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.403, kappa: 0.2015, kb_relative_information_score: 42.6072, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4175, predictive_accuracy: 0.4323, prior_entropy: 1.9281, recall: 0.4323, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.401, kappa: 0.1896, kb_relative_information_score: 42.8183, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3956, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 55.8734, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.1841, usercpu_time_millis: 431.127, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 423.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.3964, kappa: 0.1859, kb_relative_information_score: 40.5327, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3911, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.2639, usercpu_time_millis: 47.347, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 46.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.481, kappa: 0.3049, kb_relative_information_score: 57.6019, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4828, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.169, usercpu_time_millis: 81.3, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 80.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.4413, kappa: 0.2551, kb_relative_information_score: 49.5004, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4588, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.2283, usercpu_time_millis: 35.285, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 35.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.4675, kappa: 0.2665, kb_relative_information_score: 51.8215, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4686, predictive_accuracy: 0.471, prior_entropy: 1.9281, recall: 0.471, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.2064, usercpu_time_millis: 25.055, usercpu_time_millis_testing: 3.92, usercpu_time_millis_training: 21.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.4962, kappa: 0.3043, kb_relative_information_score: 57.0985, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4984, predictive_accuracy: 0.4968, prior_entropy: 1.9281, recall: 0.4968, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.1766, usercpu_time_millis: 16.811, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 16.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.5914, kappa: 0.4361, kb_relative_information_score: 75.2642, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5934, predictive_accuracy: 0.5935, prior_entropy: 1.9281, recall: 0.5935, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.0574, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.4371, kappa: 0.2332, kb_relative_information_score: 46.22, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4376, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.2283, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.814,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.3707, kappa: 0.1416, kb_relative_information_score: 27.9964, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3676, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4334, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.481, kappa: 0.3049, kb_relative_information_score: 31.3201, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4828, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 45.6595, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.481, kappa: 0.3049, kb_relative_information_score: 31.3201, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4828, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.3548, kappa: 0.164, kb_relative_information_score: 21.4942, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3724, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.3548, kappa: 0.164, kb_relative_information_score: 21.4942, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3724, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.3548, kappa: 0.164, kb_relative_information_score: 21.4942, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3724, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 45.6595, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 45.6595, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 45.6595, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.5128, kappa: 0.3358, kb_relative_information_score: 55.9927, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.5139, predictive_accuracy: 0.5161, prior_entropy: 1.9281, recall: 0.5161, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9678, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.481, kappa: 0.3049, kb_relative_information_score: 31.3201, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4828, predictive_accuracy: 0.5032, prior_entropy: 1.9281, recall: 0.5032, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.3548, kappa: 0.164, kb_relative_information_score: 21.4942, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3724, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.4814, kappa: 0.2922, kb_relative_information_score: 52.8616, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4843, predictive_accuracy: 0.4839, prior_entropy: 1.9281, recall: 0.4839, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9806, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4898, kappa: 0.2932, kb_relative_information_score: 45.6595, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.4948, predictive_accuracy: 0.4903, prior_entropy: 1.9281, recall: 0.4903, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.3548, kappa: 0.164, kb_relative_information_score: 21.4942, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3724, predictive_accuracy: 0.4129, prior_entropy: 1.9281, recall: 0.4129, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9908,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs