OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6180.7213, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9887, kappa: 0.9565, kb_relative_information_score: 5623.0645, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9822, kappa: 0.9306, kb_relative_information_score: 5141.2781, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.6204, recall: 0.9824, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9795, kappa: 0.9202, kb_relative_information_score: 5098.7986, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9797, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.987, kappa: 0.9496, kb_relative_information_score: 5628.2539, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.6204, recall: 0.9871, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9068, kappa: 0.6092, kb_relative_information_score: -5746.1473, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9199, predictive_accuracy: 0.9179, prior_entropy: 0.6204, recall: 0.9179, relative_absolute_error: 1.2823, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -7083.0715, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.3344, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9821, kappa: 0.9304, kb_relative_information_score: 5172.1841, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 0.6204, recall: 0.9824, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: -4146.7139, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 1.088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9909, kappa: 0.9648, kb_relative_information_score: 5773.9485, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8421, kappa: 0.3082, kb_relative_information_score: -10015.9158, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8934, predictive_accuracy: 0.878, prior_entropy: 0.6204, recall: 0.878, relative_absolute_error: 1.6421, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6259.1566, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9842, kappa: 0.9386, kb_relative_information_score: 5335.1253, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.6204, recall: 0.9844, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 6205.7258, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6256.4641, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9947, kappa: 0.9795, kb_relative_information_score: 6172.8625, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9893, kappa: 0.9587, kb_relative_information_score: 5700.8834, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.6204, recall: 0.9894, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -8096.1173, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.4381, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6543.8687, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9885, kappa: 0.9557, kb_relative_information_score: 5581.5712, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.6204, recall: 0.9886, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9824, kb_relative_information_score: 6194.3366, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9954, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.1933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -10227.4001, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.6549, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9907, kappa: 0.9641, kb_relative_information_score: 5908.6088, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.6204, recall: 0.9908, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6395.5802, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9878, kappa: 0.9527, kb_relative_information_score: 5490.2293, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.6204, recall: 0.9879, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9887, kappa: 0.9564, kb_relative_information_score: 5716.7174, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9757, kappa: 0.9042, kb_relative_information_score: -8798.4174, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9765, prior_entropy: 0.6204, recall: 0.9765, relative_absolute_error: 1.5146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9812, kappa: 0.927, kb_relative_information_score: 5256.0768, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 0.6204, recall: 0.9815, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9906, kb_relative_information_score: -10985.9702, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 1.7391, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9884, kappa: 0.9553, kb_relative_information_score: 5793.0365, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9803, kappa: 0.9234, kb_relative_information_score: 5033.5684, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9805, predictive_accuracy: 0.9806, prior_entropy: 0.6204, recall: 0.9806, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9851, kappa: 0.9422, kb_relative_information_score: 5329.712, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.6204, recall: 0.9853, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -6147.9015, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.2514, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9444, kappa: 0.7731, kb_relative_information_score: -9447.9474, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.951, predictive_accuracy: 0.9486, prior_entropy: 0.6204, recall: 0.9486, relative_absolute_error: 1.5798, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9815, kappa: 0.9281, kb_relative_information_score: 5370.5603, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.6204, recall: 0.9818, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.3569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6094.3265, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6305.2673, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.983, kappa: 0.9339, kb_relative_information_score: 5105.2087, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9929, kappa: 0.9726, kb_relative_information_score: 4798.1325, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9636, kb_relative_information_score: 5878.1143, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9895, kappa: 0.9595, kb_relative_information_score: 5698.5739, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -5734.0029, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.2337, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9634, kb_relative_information_score: 5685.1904, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.98, kappa: 0.9223, kb_relative_information_score: 5385.938, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9801, predictive_accuracy: 0.9803, prior_entropy: 0.6204, recall: 0.9803, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3622,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10062.8701, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6349, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.1819,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1235.2231, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1233.9124, usercpu_time_millis: 1.925, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1234.1516, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 1.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1237.6849, usercpu_time_millis: 2.22, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 1.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 397.3655, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.9706, scimark_benchmark: 1270.7384, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1269.5371, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1236.4703, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6197.463, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1151, scimark_benchmark: 1280.4014, usercpu_time_millis: 10.79, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 10.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1284.2271, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 5507.9276, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2669, scimark_benchmark: 1260.3959, usercpu_time_millis: 7.143, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 6.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 629.2122, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.9489, scimark_benchmark: 1275.4383, usercpu_time_millis: 1.921, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9401, kb_relative_information_score: 4857.4484, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.406, scimark_benchmark: 1246.3202, usercpu_time_millis: 3.102, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1248.8828, usercpu_time_millis: 2.436, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 1.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1234.4498, usercpu_time_millis: 2.105, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1232.969, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6425.4332, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0236, root_relative_squared_error: 0.0652, scimark_benchmark: 1282.4388, usercpu_time_millis: 9.984, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 9.583,

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