OpenML
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 3683 Supervised Classification diggle_table_a2 538 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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.5485, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0117, root_relative_squared_error: 0.0234, 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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 306.4627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.0716, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 302.384, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.1966, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 296.3844, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2779, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8949, kappa: 0.7899, kb_relative_information_score: 245.0433, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9135, predictive_accuracy: 0.8968, prior_entropy: 0.997, recall: 0.8968, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5438, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.7406, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7376, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.3698, kb_relative_information_score: -0.0596, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 379.955, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 374.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 6.39, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 5.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9678, kappa: 0.9353, kb_relative_information_score: 289.869, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.997, recall: 0.9677, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.36, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9709, kappa: 0.9415, kb_relative_information_score: 291.8809, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9719, predictive_accuracy: 0.971, prior_entropy: 0.997, recall: 0.971, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3415, usercpu_time_millis: 20.279, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 20.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 305.9643, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.161, usercpu_time_millis: 12.681, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 10.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, usercpu_time_millis: 4.225, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 3.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9903, kappa: 0.9805, kb_relative_information_score: 303.9524, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1972, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 299.9286, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2545, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, usercpu_time_millis: 9.742, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 9.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 2.615, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 1.693, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5389, kappa: 0.1959, kb_relative_information_score: 72.5829, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.7781, predictive_accuracy: 0.6194, prior_entropy: 0.997, recall: 0.6194, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2365, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 299.9286, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2545, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 297.9166, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.2788, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 299.9286, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2545, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9774, kappa: 0.9547, kb_relative_information_score: 295.9047, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 0.997, recall: 0.9774, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3012, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 219.4522, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7636, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9581, kappa: 0.9158, kb_relative_information_score: 283.8333, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9581, predictive_accuracy: 0.9581, prior_entropy: 0.997, recall: 0.9581, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4104, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9903, kappa: 0.9805, kb_relative_information_score: 303.9524, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1972, usercpu_time_millis: 10.372, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 9.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 303.9524, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1972, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 301.9405, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2277, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, usercpu_time_millis: 2.091, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 297.9166, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.2788, usercpu_time_millis: 1.886, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 305.9643, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.161, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 303.9524, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1972, usercpu_time_millis: 63.821, usercpu_time_millis_testing: 3.543, usercpu_time_millis_training: 60.278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 299.9286, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2545, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 18.2614, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 281.3793, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1744, scimark_benchmark: 924.4107, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 303.6004, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1024, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.1176, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0039, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9818, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 933.5515, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 263.7142, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9349, predictive_accuracy: 0.9258, prior_entropy: 0.997, recall: 0.9258, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5459, scimark_benchmark: 946.8777, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9742, kappa: 0.948, kb_relative_information_score: 295.8271, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9748, predictive_accuracy: 0.9742, prior_entropy: 0.997, recall: 0.9742, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.279, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.9173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2059, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.9173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2059, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.9173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2059, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.9173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2059, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.3341, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0343, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 272.1045, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.2948, scimark_benchmark: 952.4682, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,

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