Task
Supervised Classification on chscase_geyser1

Supervised Classification on chscase_geyser1

Task 3758 Supervised Classification chscase_geyser1 937 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: 0.8342, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 140.8142, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7992, kappa: 0.5884, kb_relative_information_score: 31.1754, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8085, predictive_accuracy: 0.7973, prior_entropy: 0.9694, recall: 0.7973, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7948, kappa: 0.5801, kb_relative_information_score: 66.4622, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8051, predictive_accuracy: 0.7928, prior_entropy: 0.9694, recall: 0.7928, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7948, kappa: 0.5801, kb_relative_information_score: 98.6496, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8051, predictive_accuracy: 0.7928, prior_entropy: 0.9694, recall: 0.7928, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8851, kappa: 0.7576, kb_relative_information_score: 144.1849, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8918, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8596, kappa: 0.7053, kb_relative_information_score: 146.4021, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8597, predictive_accuracy: 0.8604, prior_entropy: 0.9694, recall: 0.8604, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8585, kappa: 0.7018, kb_relative_information_score: 139.609, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8611, predictive_accuracy: 0.8604, prior_entropy: 0.9694, recall: 0.8604, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 147.6589, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8984, kappa: 0.7854, kb_relative_information_score: 146.3682, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9093, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.8241, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8899, kappa: 0.7677, kb_relative_information_score: 146.7159, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8957, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.8241, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 173.1308, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8891, kappa: 0.7659, kb_relative_information_score: 142.937, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8996, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 77.9636, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -0.114, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 146.0638, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 146.0638, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8855, kappa: 0.7585, kb_relative_information_score: 147.2309, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8903, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8771, kappa: 0.7413, kb_relative_information_score: 157.1371, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8789, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 149.2042, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9991, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 157.879, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8658, kappa: 0.7165, kb_relative_information_score: 125.8005, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8766, predictive_accuracy: 0.8694, prior_entropy: 0.9694, recall: 0.8694, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9991, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8987, kappa: 0.7862, kb_relative_information_score: 144.253, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.907, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 137.2395, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7985, kappa: 0.5821, kb_relative_information_score: 130.3464, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8012, predictive_accuracy: 0.7973, prior_entropy: 0.9694, recall: 0.7973, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8815, kappa: 0.7504, kb_relative_information_score: 166.5619, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8839, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6996, scimark_benchmark: 1461.2356, usercpu_time_millis: 4796.875, usercpu_time_millis_training: 4796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8939, kappa: 0.7761, kb_relative_information_score: 145.7119, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9033, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6223, scimark_benchmark: 1394.1724, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, scimark_benchmark: 1384.4105, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, scimark_benchmark: 1375.3598, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, scimark_benchmark: 1608.1309, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 148.5346, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5994, 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: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, 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: 0.8675, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, scimark_benchmark: 1466.4101, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8759, kappa: 0.7382, kb_relative_information_score: 145.6097, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8823, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6201, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8723, kappa: 0.7312, kb_relative_information_score: 145.1183, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8746, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6451, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.821, kappa: 0.6293, kb_relative_information_score: 138.4486, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8243, predictive_accuracy: 0.8198, prior_entropy: 0.9694, recall: 0.8198, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7517, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8984, kappa: 0.7854, kb_relative_information_score: 149.2152, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9093, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6169, 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: 0.9144, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 143.6243, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6332, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8855, kappa: 0.7585, kb_relative_information_score: 147.374, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8903, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6355, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 166.5619, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6996, usercpu_time_millis: 0.515, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9076, kappa: 0.8049, kb_relative_information_score: 179.3259, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9189, predictive_accuracy: 0.9099, prior_entropy: 0.9694, recall: 0.9099, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6136, usercpu_time_millis: 1.122, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.838, kappa: 0.6586, kb_relative_information_score: 149.5432, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8729, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8001, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8371, kappa: 0.6585, kb_relative_information_score: 145.2885, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.837, predictive_accuracy: 0.8378, prior_entropy: 0.9694, recall: 0.8378, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8233, usercpu_time_millis: 6.861, usercpu_time_millis_testing: 2.059, usercpu_time_millis_training: 4.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9079, kappa: 0.8057, kb_relative_information_score: 179.3259, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9166, predictive_accuracy: 0.9099, prior_entropy: 0.9694, recall: 0.9099, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6136, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.056, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8987, kappa: 0.7862, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.907, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.358,

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