Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8867, kappa: 0.8826, kb_relative_information_score: 6906.3851, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8942, predictive_accuracy: 0.8871, prior_entropy: 4.7004, recall: 0.8871, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9734, kappa: 0.9723, kb_relative_information_score: 7586.4891, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 4.7004, recall: 0.9733, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, kappa: 0.0153, kb_relative_information_score: 326.0891, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0532, prior_entropy: 4.7004, recall: 0.0532, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2699, root_relative_squared_error: 1.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0259, kb_relative_information_score: 406.0312, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0634, prior_entropy: 4.7004, recall: 0.0634, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kappa: 0.0165, kb_relative_information_score: 335.1964, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0544, prior_entropy: 4.7004, recall: 0.0544, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2697, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, kappa: 0.022, kb_relative_information_score: 376.6853, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0596, prior_entropy: 4.7004, recall: 0.0596, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.269, root_relative_squared_error: 1.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kappa: 0.0123, kb_relative_information_score: 302.8148, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0503, prior_entropy: 4.7004, recall: 0.0503, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, kappa: 0.1186, kb_relative_information_score: 1109.3212, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1525, prior_entropy: 4.7004, recall: 0.1525, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2553, root_relative_squared_error: 1.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, kappa: 0.5646, kb_relative_information_score: 4493.1973, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.5814, prior_entropy: 4.7004, recall: 0.5814, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, kappa: 0.7767, kb_relative_information_score: 6102.1781, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7853, prior_entropy: 4.7004, recall: 0.7853, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, kappa: 0.0542, kb_relative_information_score: 620.5593, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0905, prior_entropy: 4.7004, recall: 0.0905, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, kappa: 0.7803, kb_relative_information_score: 6129.5, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7888, prior_entropy: 4.7004, recall: 0.7888, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9255, kappa: 0.913, kb_relative_information_score: 7137.1472, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9459, predictive_accuracy: 0.9164, prior_entropy: 4.7004, recall: 0.9164, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, kappa: 0.0223, kb_relative_information_score: 378.7092, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0599, prior_entropy: 4.7004, recall: 0.0599, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2689, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7958, kappa: 0.7108, kb_relative_information_score: 5602.8378, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9334, predictive_accuracy: 0.7219, prior_entropy: 4.7004, recall: 0.7219, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, kappa: 0.7816, kb_relative_information_score: 6139.6193, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.79, prior_entropy: 4.7004, recall: 0.79, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9609, kappa: 0.9592, kb_relative_information_score: 7487.3165, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9617, predictive_accuracy: 0.9608, prior_entropy: 4.7004, recall: 0.9608, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8248, kappa: 0.7556, kb_relative_information_score: 5942.9104, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9336, predictive_accuracy: 0.765, prior_entropy: 4.7004, recall: 0.765, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, kappa: 0.7768, kb_relative_information_score: 6103.19, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7854, prior_entropy: 4.7004, recall: 0.7854, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, kappa: 0.0836, kb_relative_information_score: 844.1968, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1189, prior_entropy: 4.7004, recall: 0.1189, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2603, root_relative_squared_error: 1.3538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9601, kb_relative_information_score: 7494.4, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9626, predictive_accuracy: 0.9617, prior_entropy: 4.7004, recall: 0.9617, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, kappa: 0.0562, kb_relative_information_score: 635.7382, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0925, prior_entropy: 4.7004, recall: 0.0925, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8247, kappa: 0.8298, kb_relative_information_score: 6505.4764, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8537, predictive_accuracy: 0.8363, prior_entropy: 4.7004, recall: 0.8363, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, kappa: 0.7574, kb_relative_information_score: 5955.4489, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7667, prior_entropy: 4.7004, recall: 0.7667, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.134, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9551, kappa: 0.9518, kb_relative_information_score: 7431.6469, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9595, predictive_accuracy: 0.9537, prior_entropy: 4.7004, recall: 0.9537, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8304, kappa: 0.7639, kb_relative_information_score: 6005.6498, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9346, predictive_accuracy: 0.773, prior_entropy: 4.7004, recall: 0.773, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 6165.9313, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, kappa: 0.0926, kb_relative_information_score: 911.9958, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1275, prior_entropy: 4.7004, recall: 0.1275, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2591, root_relative_squared_error: 1.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9362, kappa: 0.9337, kb_relative_information_score: 6641.6496, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9367, predictive_accuracy: 0.9363, prior_entropy: 4.7004, recall: 0.9363, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1677, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.0191, kappa: 0.0397, kb_relative_information_score: 954.3039, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0117, predictive_accuracy: 0.0767, prior_entropy: 4.7004, recall: 0.0767, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9467, kappa: 0.9445, kb_relative_information_score: 7375.9939, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9475, predictive_accuracy: 0.9466, prior_entropy: 4.7004, recall: 0.9466, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9466, kappa: 0.9444, kb_relative_information_score: 7374.98, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 4.7004, recall: 0.9465, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 1.9381, build_memory: 315598255.1186, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 170.1111, build_memory: 466973842.7754, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 1.9123, build_memory: 863591875.8148, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 161.7383, build_memory: 413676925.4452, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9468, kappa: 0.9446, kb_relative_information_score: 7377.0049, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9475, predictive_accuracy: 0.9468, prior_entropy: 4.7004, recall: 0.9468, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.064, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8405, kappa: 0.8341, kb_relative_information_score: 6568.9034, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8411, predictive_accuracy: 0.8405, prior_entropy: 4.7004, recall: 0.8405, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5543, scimark_benchmark: 1126.6787, usercpu_time_millis: 18390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 18340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 965.5422, usercpu_time_millis: 172790, usercpu_time_millis_testing: 172780, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8179, kappa: 0.8097, kb_relative_information_score: 6374.3695, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.817, prior_entropy: 4.7004, recall: 0.817, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5546, scimark_benchmark: 980.3122, usercpu_time_millis: 10730, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9389, kappa: 0.9365, kb_relative_information_score: 6551.1838, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.939, prior_entropy: 4.7004, recall: 0.939, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 1250.1545, usercpu_time_millis: 24820, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 23340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.856, kappa: 0.8513, kb_relative_information_score: 6687.9563, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8654, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5407, scimark_benchmark: 1166.3568, usercpu_time_millis: 96140, usercpu_time_millis_testing: 42820, usercpu_time_millis_training: 53320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.7782, kappa: 0.7676, kb_relative_information_score: 6057.2709, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.783, predictive_accuracy: 0.7766, prior_entropy: 4.7004, recall: 0.7766, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.6386, scimark_benchmark: 1167.1654, usercpu_time_millis: 288840, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 288730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527, scimark_benchmark: 1152.9154, usercpu_time_millis: 47190, usercpu_time_millis_testing: 46130, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9033, kappa: 0.8998, kb_relative_information_score: 7080.7623, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9099, predictive_accuracy: 0.9037, prior_entropy: 4.7004, recall: 0.9037, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.4021, scimark_benchmark: 1366.4256, usercpu_time_millis: 269630, usercpu_time_millis_testing: 269620, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9106, kappa: 0.907, kb_relative_information_score: 7083.8495, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9114, predictive_accuracy: 0.9106, prior_entropy: 4.7004, recall: 0.9106, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.4304, scimark_benchmark: 1337.1387, usercpu_time_millis: 88290, usercpu_time_millis_testing: 36680, usercpu_time_millis_training: 51610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8943, kappa: 0.8898, kb_relative_information_score: 7006.2812, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8964, predictive_accuracy: 0.8941, prior_entropy: 4.7004, recall: 0.8941, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.4571, scimark_benchmark: 1367.3525, usercpu_time_millis: 104170, usercpu_time_millis_testing: 12020, usercpu_time_millis_training: 92150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.938, kappa: 0.9356, kb_relative_information_score: 6701.3364, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9385, predictive_accuracy: 0.9381, prior_entropy: 4.7004, recall: 0.9381, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.4412, scimark_benchmark: 463.9398, usercpu_time_millis: 131600, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 130080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 1653.4025, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.7004, recall: 0.9686, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 619.8377, usercpu_time_millis: 20220, usercpu_time_millis_testing: 5850, usercpu_time_millis_training: 14370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9544, kappa: 0.9525, kb_relative_information_score: 7478.4809, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 4.7004, recall: 0.9543, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.29, scimark_benchmark: 1014.9749, usercpu_time_millis: 4130620, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 4129710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8891, kappa: 0.8853, kb_relative_information_score: 7095.8229, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8956, predictive_accuracy: 0.8897, prior_entropy: 4.7004, recall: 0.8897, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4166, scimark_benchmark: 1271.6518, usercpu_time_millis: 273270, usercpu_time_millis_testing: 273260, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527, scimark_benchmark: 901.458, usercpu_time_millis: 30660, usercpu_time_millis_testing: 28510, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8455, kappa: 0.8393, kb_relative_information_score: 6622.348, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8458, predictive_accuracy: 0.8455, prior_entropy: 4.7004, recall: 0.8455, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.5288, scimark_benchmark: 896.0287, usercpu_time_millis: 25960, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 25540,

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