Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 1686.3002, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 3.3218, recall: 0.9875, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9709, kappa: 0.9676, kb_relative_information_score: 1677.7922, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 3.3218, recall: 0.9708, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9858, kappa: 0.9842, kb_relative_information_score: 5542.4886, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9859, predictive_accuracy: 0.9858, prior_entropy: 3.3218, recall: 0.9858, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9811, kappa: 0.979, kb_relative_information_score: 5396.5515, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 3.3218, recall: 0.9811, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9852, kappa: 0.9836, kb_relative_information_score: 1684.5373, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 3.3218, recall: 0.9852, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5514.3156, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9663, kappa: 0.9626, kb_relative_information_score: 5242.9077, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 3.3218, recall: 0.9664, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5544.1557, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9664, kappa: 0.9626, kb_relative_information_score: 5206.791, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 3.3218, recall: 0.9664, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9831, kappa: 0.9812, kb_relative_information_score: 5501.3098, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 3.3218, recall: 0.9831, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 5369.3374, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 3.3218, recall: 0.9801, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9596, kappa: 0.9551, kb_relative_information_score: 5361.9244, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 3.3218, recall: 0.9596, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9291, kappa: 0.9207, kb_relative_information_score: 1657.4517, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9311, predictive_accuracy: 0.9286, prior_entropy: 3.3218, recall: 0.9286, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9086, kappa: 0.8986, kb_relative_information_score: 5066.9753, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9087, predictive_accuracy: 0.9087, prior_entropy: 3.3218, recall: 0.9087, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4343, scimark_benchmark: 1385.1109, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 5147.0541, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 3.3218, recall: 0.9802, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2793, scimark_benchmark: 1553.8122, usercpu_time_millis: 2490, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 5165.0888, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2743, scimark_benchmark: 1693.6129, usercpu_time_millis: 2400, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9598, kappa: 0.9553, kb_relative_information_score: 5222.107, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 3.3218, recall: 0.9598, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843, scimark_benchmark: 1470.9075, usercpu_time_millis: 10180, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 10000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 5237.6126, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 3.3218, recall: 0.961, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809, scimark_benchmark: 1591.0101, usercpu_time_millis: 10820, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 10590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9763, kappa: 0.9737, kb_relative_information_score: 5001.9819, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9764, predictive_accuracy: 0.9763, prior_entropy: 3.3218, recall: 0.9763, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.3225, scimark_benchmark: 1651.1159, usercpu_time_millis: 2540, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9784, kappa: 0.9761, kb_relative_information_score: 5043.7231, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3105, scimark_benchmark: 1401.4576, usercpu_time_millis: 2090, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 5121.2877, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9546, predictive_accuracy: 0.9544, prior_entropy: 3.3218, recall: 0.9544, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3163, scimark_benchmark: 1791.5507, usercpu_time_millis: 9130, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 8970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 5154.1366, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9546, predictive_accuracy: 0.9544, prior_entropy: 3.3218, recall: 0.9544, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3068, scimark_benchmark: 1462.3872, usercpu_time_millis: 12470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 12260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9055, kappa: 0.895, kb_relative_information_score: 5035.6234, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9056, predictive_accuracy: 0.9055, prior_entropy: 3.3218, recall: 0.9055, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4388, scimark_benchmark: 1723.7308, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8568, kappa: 0.8406, kb_relative_information_score: 4691.9433, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8572, predictive_accuracy: 0.8566, prior_entropy: 3.3218, recall: 0.8566, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4997, scimark_benchmark: 1519.7578, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 1678.5557, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9744, predictive_accuracy: 0.9742, prior_entropy: 3.3218, recall: 0.9742, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9073, scimark_benchmark: 1563.4579, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9751, kappa: 0.9723, kb_relative_information_score: 1677.9647, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9751, predictive_accuracy: 0.9751, prior_entropy: 3.3218, recall: 0.9751, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.9057, scimark_benchmark: 1491.8383, usercpu_time_millis: 1020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9868, kappa: 0.9854, kb_relative_information_score: 1685.1883, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9869, predictive_accuracy: 0.9868, prior_entropy: 3.3218, recall: 0.9868, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1467.8457, usercpu_time_millis: 3110, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 1684.6937, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1466.0546, usercpu_time_millis: 3010, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9246, kappa: 0.9158, kb_relative_information_score: 1653.1384, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9267, predictive_accuracy: 0.9242, prior_entropy: 3.3218, recall: 0.9242, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9105, scimark_benchmark: 1372.1994, usercpu_time_millis: 65370, usercpu_time_millis_testing: 42880, usercpu_time_millis_training: 22490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9659, kappa: 0.962, kb_relative_information_score: 1673.5783, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9663, predictive_accuracy: 0.9658, prior_entropy: 3.3218, recall: 0.9658, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9082, scimark_benchmark: 1519.0272, usercpu_time_millis: 24190, usercpu_time_millis_testing: 16700, usercpu_time_millis_training: 7490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9099, kappa: 0.9, kb_relative_information_score: 5076.0165, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 3.3218, recall: 0.91, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4315, scimark_benchmark: 1452.7266, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8831, kappa: 0.8703, kb_relative_information_score: 4871.4092, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8832, predictive_accuracy: 0.8833, prior_entropy: 3.3218, recall: 0.8833, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4598, scimark_benchmark: 1512.4157, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8817, kappa: 0.8687, kb_relative_information_score: 4871.9102, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8817, predictive_accuracy: 0.8819, prior_entropy: 3.3218, recall: 0.8819, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4604, scimark_benchmark: 1655.4938, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8811, kappa: 0.8681, kb_relative_information_score: 4873.0752, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8811, predictive_accuracy: 0.8813, prior_entropy: 3.3218, recall: 0.8813, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4607, scimark_benchmark: 1509.5832, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8571, kappa: 0.8408, kb_relative_information_score: 4701.0191, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 3.3218, recall: 0.8568, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4979, scimark_benchmark: 1461.7875, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8571, kappa: 0.8408, kb_relative_information_score: 4705.0356, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 3.3218, recall: 0.8568, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4973, scimark_benchmark: 1520.7671, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 1680.35, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 3.3218, recall: 0.9792, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 1426.6665, usercpu_time_millis: 890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 1684.6937, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1574.7592, usercpu_time_millis: 3180, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 2240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9877, kappa: 0.9864, kb_relative_information_score: 1686.3513, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 3.3218, recall: 0.9877, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1471.8483, usercpu_time_millis: 3240, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9877, kappa: 0.9864, kb_relative_information_score: 1686.3513, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 3.3218, recall: 0.9877, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1506.8012, usercpu_time_millis: 3640, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9291, kappa: 0.9207, kb_relative_information_score: 1657.3937, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9311, predictive_accuracy: 0.9286, prior_entropy: 3.3218, recall: 0.9286, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9101, scimark_benchmark: 1537.0006, usercpu_time_millis: 79540, usercpu_time_millis_testing: 58050, usercpu_time_millis_training: 21490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9676, kb_relative_information_score: 1677.8592, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 3.3218, recall: 0.9708, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 1534.0263, usercpu_time_millis: 27270, usercpu_time_millis_testing: 20420, usercpu_time_millis_training: 6850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8571, kappa: 0.8408, kb_relative_information_score: 4701.0191, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 3.3218, recall: 0.8568, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4979, scimark_benchmark: 1495.576, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8571, kappa: 0.8408, kb_relative_information_score: 4705.0356, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 3.3218, recall: 0.8568, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4973, scimark_benchmark: 1418.9079, usercpu_time_millis: 410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 1678.5557, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9744, predictive_accuracy: 0.9742, prior_entropy: 3.3218, recall: 0.9742, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9073, scimark_benchmark: 1504.2295, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9792, kappa: 0.9769, kb_relative_information_score: 1680.35, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 3.3218, recall: 0.9792, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 1517.6288, usercpu_time_millis: 1040, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9749, kappa: 0.9721, kb_relative_information_score: 1677.9136, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 3.3218, recall: 0.9749, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.9057, scimark_benchmark: 1528.0383, usercpu_time_millis: 1220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9868, kappa: 0.9854, kb_relative_information_score: 1685.1303, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9869, predictive_accuracy: 0.9868, prior_entropy: 3.3218, recall: 0.9868, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 1530.6138, usercpu_time_millis: 3150, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9856, kappa: 0.984, kb_relative_information_score: 1684.6937, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 3.3218, recall: 0.9856, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1478.1854, usercpu_time_millis: 2930, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9856, kappa: 0.984, kb_relative_information_score: 1684.6937, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 3.3218, recall: 0.9856, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 1486.6495, usercpu_time_millis: 2720, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9246, kappa: 0.9158, kb_relative_information_score: 1653.1964, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9267, predictive_accuracy: 0.9242, prior_entropy: 3.3218, recall: 0.9242, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9105, scimark_benchmark: 1581.8139, usercpu_time_millis: 64950, usercpu_time_millis_testing: 43320, usercpu_time_millis_training: 21630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9657, kappa: 0.9618, kb_relative_information_score: 1673.5272, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9661, predictive_accuracy: 0.9657, prior_entropy: 3.3218, recall: 0.9657, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9082, scimark_benchmark: 1513.7664, usercpu_time_millis: 20980, usercpu_time_millis_testing: 13960, usercpu_time_millis_training: 7020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9788, kappa: 0.9765, kb_relative_information_score: 1681.1896, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.3218, recall: 0.9788, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9069, scimark_benchmark: 1495.4694, usercpu_time_millis: 6930, usercpu_time_millis_testing: 4030, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9831, kappa: 0.9812, kb_relative_information_score: 5484.4192, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 3.3218, recall: 0.9831, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1815, scimark_benchmark: 1464.286, usercpu_time_millis: 7650, usercpu_time_millis_testing: 7440, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.984, kb_relative_information_score: 5531.0133, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 3.3218, recall: 0.9856, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1788, scimark_benchmark: 1544.6009, usercpu_time_millis: 4930, usercpu_time_millis_testing: 4710, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9851, kappa: 0.9834, kb_relative_information_score: 5536.8803, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 3.3218, recall: 0.9851, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1579, scimark_benchmark: 1519.2303, usercpu_time_millis: 8700, usercpu_time_millis_testing: 8470, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9811, kappa: 0.979, kb_relative_information_score: 5477.1654, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9813, predictive_accuracy: 0.9811, prior_entropy: 3.3218, recall: 0.9811, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1868, scimark_benchmark: 1529.6667, usercpu_time_millis: 6530, usercpu_time_millis_testing: 6340, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9706, kappa: 0.9674, kb_relative_information_score: 5300.1627, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 3.3218, recall: 0.9706, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2435, scimark_benchmark: 1578.3446, usercpu_time_millis: 11870, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 11820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9628, kappa: 0.9587, kb_relative_information_score: 5158.4532, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 3.3218, recall: 0.9628, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2898, scimark_benchmark: 1502.0056, usercpu_time_millis: 7460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 5455.96, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 3.3218, recall: 0.974, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2161, scimark_benchmark: 1520.7036, usercpu_time_millis: 12910, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 12790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9561, kappa: 0.9514, kb_relative_information_score: 5331.0149, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9563, predictive_accuracy: 0.9562, prior_entropy: 3.3218, recall: 0.9562, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2873, scimark_benchmark: 1473.9638, usercpu_time_millis: 5060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1409.1583, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 1467.7295, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8963, kappa: 0.8847, kb_relative_information_score: 4926.807, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8965, predictive_accuracy: 0.8963, prior_entropy: 3.3218, recall: 0.8963, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.4451, scimark_benchmark: 1460.0393, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8674, kappa: 0.8525, kb_relative_information_score: 4840.0932, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8675, predictive_accuracy: 0.8673, prior_entropy: 3.3218, recall: 0.8673, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5431, scimark_benchmark: 1494.8881, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 5445.8192, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, recall: 0.9712, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2248, scimark_benchmark: 1464.2627, usercpu_time_millis: 52980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 52950,

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