Task
Supervised Classification on analcatdata_election2000

Supervised Classification on analcatdata_election2000

Task 3624 Supervised Classification analcatdata_election2000 102 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 52.6597, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 49.0549, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 54.1237, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9562, kappa: 0.8918, kb_relative_information_score: 53.7773, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9616, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.5081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 48.4997, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8964, kappa: 0.7387, kb_relative_information_score: 48.5899, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.8977, predictive_accuracy: 0.8955, prior_entropy: 0.8491, recall: 0.8955, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9701, kappa: 0.924, kb_relative_information_score: 58.8937, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9412, kappa: 0.8532, kb_relative_information_score: 55.1145, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9441, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9377, kappa: 0.8366, kb_relative_information_score: 59.9894, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9448, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7382, kappa: 0.2937, kb_relative_information_score: 41.3064, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.7648, predictive_accuracy: 0.7761, prior_entropy: 0.8491, recall: 0.7761, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9706, kappa: 0.9266, kb_relative_information_score: 61.5387, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9731, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.7561, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9087, kappa: 0.7638, kb_relative_information_score: 50.5631, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9091, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 50.8282, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 53.3379, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9403, kappa: 0.8481, kb_relative_information_score: 42.2707, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.6179, kb_relative_information_score: -0.4184, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9391, kappa: 0.8425, kb_relative_information_score: 52.5549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 51.4929, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 60.2963, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1263, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 52.5681, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1263, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9412, kappa: 0.8532, kb_relative_information_score: 55.0501, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9441, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9412, kappa: 0.8532, kb_relative_information_score: 56.5139, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9441, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9231, kappa: 0.7995, kb_relative_information_score: 42.0928, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9258, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9139, kappa: 0.7938, kb_relative_information_score: 48.5846, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9328, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9412, kappa: 0.8532, kb_relative_information_score: 53.3516, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9441, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.7561, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4501, f_measure: 0.6179, kb_relative_information_score: 0.9164, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 52.9644, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9706, kappa: 0.9266, kb_relative_information_score: 60.784, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9731, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 63.5227, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2756, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 16.9656, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1692, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 16.9656, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1692, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 16.9656, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1692, scimark_benchmark: 1680.2006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 16.9656, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1692, scimark_benchmark: 1388.5156, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 63.5227, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2756, scimark_benchmark: 1551.7614, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 57.4047, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.475, scimark_benchmark: 1908.2191, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 56.4593, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4602, scimark_benchmark: 1908.2191, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9706, kappa: 0.9266, kb_relative_information_score: 60.784, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9731, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3897, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 56.7585, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4712, scimark_benchmark: 1384.6215, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 53.4048, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4636, scimark_benchmark: 1293.3306, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.6792, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6038, scimark_benchmark: 1274.6734, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 56.4258, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4683, scimark_benchmark: 1323.756, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 52.5681, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6162, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 57.6649, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4805, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 56.3671, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.471, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9701, kappa: 0.924, kb_relative_information_score: 60.6158, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3906, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 48.604, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6646, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1761, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.6092, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 55.2246, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3744, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 52.0563, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5895, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 48.4907, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6659, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.6792, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6038, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 52.5681, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6162, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 56.4282, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4682, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 57.6649, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4805, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 56.3671, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.471, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 58.0454, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4773, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.4318, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6184, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1761, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.6092, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9391, kappa: 0.8425, kb_relative_information_score: 54.0351, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.4044, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 52.0563, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5895, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 48.4907, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6659, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 57.6649, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4805, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 58.0454, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4773, 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: 0.9864, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 49.9745, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5228, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 53.1992, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5786, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9391, kappa: 0.8425, kb_relative_information_score: 54.0706, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.554, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9696, kappa: 0.9213, kb_relative_information_score: 58.9027, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9713, predictive_accuracy: 0.9701, prior_entropy: 0.8491, recall: 0.9701, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3378, 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: 0.9989, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 63.505, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2756, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 52.5681, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6162, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9041, kappa: 0.7452, kb_relative_information_score: 49.8294, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9202, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.675, scimark_benchmark: 1531.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9548, kappa: 0.884, kb_relative_information_score: 57.6649, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9549, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4805, scimark_benchmark: 1155.7747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 48.7081, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6649, scimark_benchmark: 1058.7164, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 55.3405, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.417, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9377, kappa: 0.8366, kb_relative_information_score: 55.3067, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9448, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5512, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.5681, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6162, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.942, kappa: 0.8581, kb_relative_information_score: 57.3635, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9512, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.4058, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 52.7561, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.6005, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9562, kappa: 0.8918, kb_relative_information_score: 58.6693, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9616, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3548, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9104, kappa: 0.7721, kb_relative_information_score: 52.6597, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.8491, recall: 0.9104, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5786, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9391, kappa: 0.8425, kb_relative_information_score: 54.5888, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4083, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9231, kappa: 0.7995, kb_relative_information_score: 42.0928, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9258, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4951, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9412, kappa: 0.8532, kb_relative_information_score: 53.8117, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9441, predictive_accuracy: 0.9403, prior_entropy: 0.8491, recall: 0.9403, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5436, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.6179, kb_relative_information_score: 0.3231, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.5349, predictive_accuracy: 0.7313, prior_entropy: 0.8491, recall: 0.7313, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.4438, root_relative_squared_error: 1.0012, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9849, kappa: 0.9613, kb_relative_information_score: 61.7347, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.8491, recall: 0.9851, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2735, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9556, kappa: 0.888, kb_relative_information_score: 56.3671, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9565, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.471, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1263, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6064, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.926, kappa: 0.8134, kb_relative_information_score: 51.1263, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9271, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6064, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9539, kappa: 0.8797, kb_relative_information_score: 58.7432, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9578, predictive_accuracy: 0.9552, prior_entropy: 0.8491, recall: 0.9552, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3633, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9247, kappa: 0.8067, kb_relative_information_score: 53.3214, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9245, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5305, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9212, kappa: 0.7918, kb_relative_information_score: 48.4322, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3961, number_of_instances: 67, precision: 0.9323, predictive_accuracy: 0.9254, prior_entropy: 0.8491, recall: 0.9254, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4433, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.509, scimark_benchmark: 1873.1108,

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