Task
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 3539 Supervised Classification prnn_crabs 546 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 169.696, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6875, kappa: 0.39, kb_relative_information_score: 42.0204, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7157, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 193.3693, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 200, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 196.4379, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8699, kappa: 0.74, kb_relative_information_score: 146.9015, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8713, predictive_accuracy: 0.87, prior_entropy: 1, recall: 0.87, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 140.7033, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9254, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 112.2561, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 48.7454, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 152.5311, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 50.4592, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 180.1437, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 170.9623, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9261, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 104.3817, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7499, kappa: 0.5, kb_relative_information_score: 52.5852, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6397, kappa: 0.28, kb_relative_information_score: 55.7885, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 174.4114, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6397, kappa: 0.28, kb_relative_information_score: 55.7885, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9349, kappa: 0.87, kb_relative_information_score: 151.8626, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9371, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9348, kappa: 0.87, kb_relative_information_score: 173.9539, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9403, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 152.3036, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8948, kappa: 0.79, kb_relative_information_score: 115.4779, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8982, predictive_accuracy: 0.895, prior_entropy: 1, recall: 0.895, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 162.6893, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9454, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 62.6081, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7001, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 62.6081, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7001, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 50.433, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 184.259, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 186, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 50.3703, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 48.7019, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6546, kappa: 0.31, kb_relative_information_score: 62, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6558, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6546, kappa: 0.31, kb_relative_information_score: 62, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6558, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6391, kappa: 0.28, kb_relative_information_score: 54.0596, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6414, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.975, kappa: 0.95, kb_relative_information_score: 179.9158, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9754, predictive_accuracy: 0.975, prior_entropy: 1, recall: 0.975, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9199, kappa: 0.84, kb_relative_information_score: 135.0941, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9227, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 170, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 50.3703, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0653, scimark_benchmark: 1343.2749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 186, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3742, 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: 0.985, f_measure: 0.985, kappa: 0.97, kb_relative_information_score: 194, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9854, predictive_accuracy: 0.985, prior_entropy: 1, recall: 0.985, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2449, 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: 1, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 196.0603, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1102, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 199.9972, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 186.5055, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3447, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.89, kappa: 0.78, kb_relative_information_score: 149.5943, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8906, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.283, root_relative_squared_error: 0.566, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9148, kappa: 0.83, kb_relative_information_score: 158.245, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9184, predictive_accuracy: 0.915, prior_entropy: 1, recall: 0.915, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5596, scimark_benchmark: 1744.8652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.73, kappa: 0.46, kb_relative_information_score: 78.0193, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7301, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8857, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.6699, kappa: 0.34, kb_relative_information_score: 69.0377, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6703, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1314, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 186.5055, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3447, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6348, kappa: 0.27, kb_relative_information_score: 55.3764, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6353, predictive_accuracy: 0.635, prior_entropy: 1, recall: 0.635, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9555, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 50.3703, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0653, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 180, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9507, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472, usercpu_time_millis: 386.112, usercpu_time_millis_testing: 7.217, usercpu_time_millis_training: 378.895,

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