Task
Supervised Classification on fri_c2_500_10

Supervised Classification on fri_c2_500_10

Task 3733 Supervised Classification fri_c2_500_10 563 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 183.2559, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9851, recall: 0.796, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8877, kappa: 0.7702, kb_relative_information_score: 357.094, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9851, recall: 0.888, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7978, kappa: 0.5867, kb_relative_information_score: 182.7485, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7977, predictive_accuracy: 0.798, prior_entropy: 0.9851, recall: 0.798, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 185.2231, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9851, recall: 0.796, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9276, kappa: 0.8517, kb_relative_information_score: 370.828, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9288, predictive_accuracy: 0.928, prior_entropy: 0.9851, recall: 0.928, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7503, kappa: 0.4909, kb_relative_information_score: 195.3834, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.9851, recall: 0.75, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.916, kappa: 0.8286, kb_relative_information_score: 413.79, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9161, predictive_accuracy: 0.916, prior_entropy: 0.9851, recall: 0.916, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8022, kappa: 0.5963, kb_relative_information_score: 206.3865, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8024, predictive_accuracy: 0.802, prior_entropy: 0.9851, recall: 0.802, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9117, kappa: 0.8192, kb_relative_information_score: 354.6932, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9851, recall: 0.912, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7521, kappa: 0.4941, kb_relative_information_score: 234.3734, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9851, recall: 0.752, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.8076, kappa: 0.6065, kb_relative_information_score: 169.8034, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8075, predictive_accuracy: 0.808, prior_entropy: 0.9851, recall: 0.808, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7224, kappa: 0.431, kb_relative_information_score: 157.9714, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7223, predictive_accuracy: 0.724, prior_entropy: 0.9851, recall: 0.724, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.8239, kappa: 0.6401, kb_relative_information_score: 170.5204, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9851, recall: 0.824, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7837, kappa: 0.5578, kb_relative_information_score: 262.0571, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7836, predictive_accuracy: 0.784, prior_entropy: 0.9851, recall: 0.784, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9119, kappa: 0.8201, kb_relative_information_score: 380.8388, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9851, recall: 0.912, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8465, kappa: 0.6851, kb_relative_information_score: 216.9836, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8492, predictive_accuracy: 0.848, prior_entropy: 0.9851, recall: 0.848, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4163, kb_relative_information_score: -0.0708, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9851, recall: 0.572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4948, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7378, kappa: 0.464, kb_relative_information_score: 162.5842, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7376, predictive_accuracy: 0.738, prior_entropy: 0.9851, recall: 0.738, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8409, kappa: 0.6737, kb_relative_information_score: 333.433, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9851, recall: 0.842, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9157, kappa: 0.8272, kb_relative_information_score: 372.8201, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9164, predictive_accuracy: 0.916, prior_entropy: 0.9851, recall: 0.916, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.92, kappa: 0.8364, kb_relative_information_score: 409.9316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8852, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7877, kappa: 0.566, kb_relative_information_score: 185.9931, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 0.9851, recall: 0.788, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.92, kappa: 0.8364, kb_relative_information_score: 409.9316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8136, kappa: 0.6186, kb_relative_information_score: 308.2969, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8135, predictive_accuracy: 0.814, prior_entropy: 0.9851, recall: 0.814, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.804, kappa: 0.5997, kb_relative_information_score: 184.9941, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9199, kappa: 0.8362, kb_relative_information_score: 342.1542, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8134, kappa: 0.6181, kb_relative_information_score: 308.2969, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8134, predictive_accuracy: 0.814, prior_entropy: 0.9851, recall: 0.814, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7897, kappa: 0.5698, kb_relative_information_score: 283.5689, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7895, predictive_accuracy: 0.79, prior_entropy: 0.9851, recall: 0.79, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8852, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 297.3494, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9851, recall: 0.828, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8852, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7754, kappa: 0.5404, kb_relative_information_score: 181.7266, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7752, predictive_accuracy: 0.776, prior_entropy: 0.9851, recall: 0.776, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8822, kappa: 0.7597, kb_relative_information_score: 301.006, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 0.9851, recall: 0.882, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9019, kappa: 0.7995, kb_relative_information_score: 398.9664, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9851, recall: 0.902, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7348, kappa: 0.4556, kb_relative_information_score: 229.9914, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7367, predictive_accuracy: 0.738, prior_entropy: 0.9851, recall: 0.738, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0345, scimark_benchmark: 1461.2356, 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: 0.7748, f_measure: 0.7799, kappa: 0.5502, kb_relative_information_score: 273.2655, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7798, predictive_accuracy: 0.78, prior_entropy: 0.9851, recall: 0.78, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.469, root_relative_squared_error: 0.948, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7796, kappa: 0.5491, kb_relative_information_score: 273.2655, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7794, predictive_accuracy: 0.78, prior_entropy: 0.9851, recall: 0.78, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.469, root_relative_squared_error: 0.948, scimark_benchmark: 1959.6455, 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: 0.7438, f_measure: 0.7525, kappa: 0.4925, kb_relative_information_score: 246.4768, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7527, predictive_accuracy: 0.754, prior_entropy: 0.9851, recall: 0.754, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0024, scimark_benchmark: 1959.6455, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8298, kappa: 0.6522, kb_relative_information_score: 241.1522, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8297, predictive_accuracy: 0.83, prior_entropy: 0.9851, recall: 0.83, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7593, scimark_benchmark: 1623.6012, usercpu_time_millis: 1680, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7525, kappa: 0.4925, kb_relative_information_score: 246.4768, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7527, predictive_accuracy: 0.754, prior_entropy: 0.9851, recall: 0.754, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0024, scimark_benchmark: 1620.8196, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7796, kappa: 0.5491, kb_relative_information_score: 273.2655, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7794, predictive_accuracy: 0.78, prior_entropy: 0.9851, recall: 0.78, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.469, root_relative_squared_error: 0.948, scimark_benchmark: 1385.6774, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7348, kappa: 0.4556, kb_relative_information_score: 229.9914, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7367, predictive_accuracy: 0.738, prior_entropy: 0.9851, recall: 0.738, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0345, scimark_benchmark: 1383.1674, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7799, kappa: 0.5502, kb_relative_information_score: 273.2655, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7798, predictive_accuracy: 0.78, prior_entropy: 0.9851, recall: 0.78, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.469, root_relative_squared_error: 0.948, scimark_benchmark: 1508.8085, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9039, kappa: 0.8035, kb_relative_information_score: 372.8162, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9851, recall: 0.904, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5464, scimark_benchmark: 1324.0317, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7764, kappa: 0.5441, kb_relative_information_score: 269.1442, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7769, predictive_accuracy: 0.776, prior_entropy: 0.9851, recall: 0.776, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9565, 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: 0.8992, f_measure: 0.8862, kappa: 0.7679, kb_relative_information_score: 344.7226, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9851, recall: 0.886, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6429, scimark_benchmark: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.918, kappa: 0.8324, kb_relative_information_score: 408.4648, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.918, predictive_accuracy: 0.918, prior_entropy: 0.9851, recall: 0.918, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5585, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8041, kappa: 0.6002, kb_relative_information_score: 185.8852, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 0.9851, recall: 0.804, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.893, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7877, kappa: 0.566, kb_relative_information_score: 281.5082, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 0.9851, recall: 0.788, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9306, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9039, kappa: 0.8035, kb_relative_information_score: 372.8162, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9851, recall: 0.904, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5464, scimark_benchmark: 1892.0925, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8862, kappa: 0.7679, kb_relative_information_score: 344.7226, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9851, recall: 0.886, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6429, scimark_benchmark: 1892.0925,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7391, kappa: 0.4646, kb_relative_information_score: 102.2853, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7407, predictive_accuracy: 0.742, prior_entropy: 0.9851, recall: 0.742, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9118, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8136, kappa: 0.6186, kb_relative_information_score: 308.2969, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8135, predictive_accuracy: 0.814, prior_entropy: 0.9851, recall: 0.814, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8716, 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: 0.7823, f_measure: 0.7877, kappa: 0.566, kb_relative_information_score: 281.5082, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 0.9851, recall: 0.788, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9306, scimark_benchmark: 1427.3343, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8921, kappa: 0.7797, kb_relative_information_score: 352.023, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8922, predictive_accuracy: 0.892, prior_entropy: 0.9851, recall: 0.892, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5395, 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: 0.9207, f_measure: 0.8587, kappa: 0.7158, kb_relative_information_score: 365.2118, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.858, prior_entropy: 0.9851, recall: 0.858, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6159, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6865, kappa: 0.3935, kb_relative_information_score: 175.1287, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7273, predictive_accuracy: 0.688, prior_entropy: 0.9851, recall: 0.688, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9654, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7384, kappa: 0.4665, kb_relative_information_score: 151.1861, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7389, predictive_accuracy: 0.738, prior_entropy: 0.9851, recall: 0.738, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8671, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8874, kappa: 0.7694, kb_relative_information_score: 364.5027, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9851, recall: 0.888, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5447, 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: 0.7815, f_measure: 0.7378, kappa: 0.464, kb_relative_information_score: 162.5842, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7376, predictive_accuracy: 0.738, prior_entropy: 0.9851, recall: 0.738, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8875, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9201, kappa: 0.8372, kb_relative_information_score: 417.5125, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8079, kappa: 0.6074, kb_relative_information_score: 302.1149, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9851, recall: 0.808, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8856, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7764, kappa: 0.5441, kb_relative_information_score: 269.1442, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7769, predictive_accuracy: 0.776, prior_entropy: 0.9851, recall: 0.776, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9565, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8717, kappa: 0.7373, kb_relative_information_score: 325.5498, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9851, recall: 0.872, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6649, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8881, kappa: 0.7718, kb_relative_information_score: 346.8566, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8884, predictive_accuracy: 0.888, prior_entropy: 0.9851, recall: 0.888, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6393, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.8139, kappa: 0.6199, kb_relative_information_score: 166.4555, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8139, predictive_accuracy: 0.814, prior_entropy: 0.9851, recall: 0.814, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8963, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 183.2559, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9851, recall: 0.796, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8995, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9198, kappa: 0.836, kb_relative_information_score: 417.5125, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8893, kappa: 0.7731, kb_relative_information_score: 357.2129, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.89, prior_entropy: 0.9851, recall: 0.89, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6244, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.92, kappa: 0.8364, kb_relative_information_score: 409.9316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5553, scimark_benchmark: 1806.5905,

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