OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1240.0624, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.269, scimark_benchmark: 1754.1569, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1270.6357, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2009, scimark_benchmark: 1744.3509, usercpu_time_millis: 5.956, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 5.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1202.8353, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2554, scimark_benchmark: 1868.673, usercpu_time_millis: 5.605, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 4.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9083, kappa: 0.8137, kb_relative_information_score: 823.6512, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9111, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.557, scimark_benchmark: 1756.8729, usercpu_time_millis: 1.946, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9171, kappa: 0.8317, kb_relative_information_score: 800.6008, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5598, scimark_benchmark: 1752.5067, usercpu_time_millis: 4.585, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 4.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1315.478, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1753, scimark_benchmark: 1723.5553, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9131, kappa: 0.8237, kb_relative_information_score: 938.863, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9135, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5359, scimark_benchmark: 1923.313, usercpu_time_millis: 0.629, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: -0.019, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0217, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1737.2833, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.028, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1734.7782, usercpu_time_millis: 1.955, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0228, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1747.0307, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1284.4853, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1899, scimark_benchmark: 1747.894, usercpu_time_millis: 2.093, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0538, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1743.3016, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1239.8491, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2308, scimark_benchmark: 1740.384, usercpu_time_millis: 1.971, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 1071.6947, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4232, scimark_benchmark: 1747.2944, usercpu_time_millis: 7.4, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8718, kappa: 0.7404, kb_relative_information_score: 604.6154, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8718, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838, scimark_benchmark: 1745.6581, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 1058.212, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3822, scimark_benchmark: 1868.6447, usercpu_time_millis: 4.005, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 3.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0255, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1874.0593, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1170.5598, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3002, scimark_benchmark: 1748.66, usercpu_time_millis: 4.023, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8639, kappa: 0.7248, kb_relative_information_score: 665.6816, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8643, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6703, scimark_benchmark: 1690.8645, usercpu_time_millis: 0.484, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1133.5833, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.339, scimark_benchmark: 1750.8922, usercpu_time_millis: 3.604, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 3.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.0995, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1839.2025, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 733.5385, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6906, scimark_benchmark: 1798.167, usercpu_time_millis: 2.496, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 2.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9106, kappa: 0.8186, kb_relative_information_score: 963.4359, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9123, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5238, scimark_benchmark: 1744.4527, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9142, kappa: 0.8257, kb_relative_information_score: 805.0921, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9169, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5679, scimark_benchmark: 1974.7446, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1155.1736, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.2988, scimark_benchmark: 1850.1561, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1200.497, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2526, scimark_benchmark: 1751.1918, usercpu_time_millis: 5.019, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 4.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0474, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1742.1938, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 769.9284, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8599, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6217, scimark_benchmark: 1721.017, usercpu_time_millis: 2.891, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 1070.8338, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.528, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 3.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1221.8135, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.291, scimark_benchmark: 1744.4527, usercpu_time_millis: 2.514, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 2.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3966, kb_relative_information_score: -0.023, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1867.5457, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1290.787, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1943, scimark_benchmark: 1915.2725, usercpu_time_millis: 6.295, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1234.3263, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2433, scimark_benchmark: 1742.8441, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9364, kappa: 0.8709, kb_relative_information_score: 1027.0174, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9373, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4628, scimark_benchmark: 1743.3016, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1277.3746, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2094, scimark_benchmark: 1870.2139, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1210.0415, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2638, scimark_benchmark: 1739.5929, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 1169.0442, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3397, scimark_benchmark: 1783.2706, usercpu_time_millis: 1.719, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1223.9229, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2598, scimark_benchmark: 1744.9079, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9379, kappa: 0.8739, kb_relative_information_score: 1035.8867, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4541, scimark_benchmark: 1865.0235, usercpu_time_millis: 1.878, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.1606, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1734.3798, usercpu_time_millis: 0.422, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1287.0419, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.1889, scimark_benchmark: 1975.2403, usercpu_time_millis: 6.475, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 5.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1314.0896, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1749.2121, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 4.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1058.0044, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4093, scimark_benchmark: 1746.63, usercpu_time_millis: 4.489, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1302.1891, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1824, scimark_benchmark: 1750.3253, usercpu_time_millis: 3.849, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 3.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8835, kappa: 0.7645, kb_relative_information_score: 753.3705, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8839, predictive_accuracy: 0.8834, prior_entropy: 0.9912, recall: 0.8834, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.5995, scimark_benchmark: 1734.3224, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 1017.764, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4083, scimark_benchmark: 1748.4022, usercpu_time_millis: 2.535, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0376, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1750.3868, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0894, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1733.8168, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1317.2216, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2333, scimark_benchmark: 1751.5974, usercpu_time_millis: 13.162, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 12.417,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1285.578, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, scimark_benchmark: 1717.8402, usercpu_time_millis: 8.659, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 7.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.1729, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1795, scimark_benchmark: 1759.3549, usercpu_time_millis: 10.311, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 9.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1004.0868, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5125, scimark_benchmark: 1754.9322, usercpu_time_millis: 4.722, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 4.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1229.794, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2542, scimark_benchmark: 2137.4984, usercpu_time_millis: 6.333, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 5.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1227.1284, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2292, scimark_benchmark: 1731.709, usercpu_time_millis: 4.063, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 3.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9415, kappa: 0.8814, kb_relative_information_score: 1049.6629, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9421, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4421, scimark_benchmark: 1753.2637, usercpu_time_millis: 4.716, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 4.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1233.9723, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2848, scimark_benchmark: 1741.6387, usercpu_time_millis: 5.294, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 4.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.9644, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1833, scimark_benchmark: 1755.2194, usercpu_time_millis: 10.614, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 9.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1287.3589, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882, scimark_benchmark: 1751.1352, usercpu_time_millis: 5.503, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 4.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1282.1962, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1834, scimark_benchmark: 1751.5205, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 1171.9064, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3303, scimark_benchmark: 1732.5085, usercpu_time_millis: 8.077, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 7.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1277.5957, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1849, scimark_benchmark: 1755.2822, usercpu_time_millis: 2.495, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1281.9543, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1945, scimark_benchmark: 1741.6387, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1280.6363, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2219, scimark_benchmark: 1763.2777, usercpu_time_millis: 7.911, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 7.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.9094, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1814, scimark_benchmark: 1732.3049, usercpu_time_millis: 10.814, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 9.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1150.2563, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3048, scimark_benchmark: 1805.1379, usercpu_time_millis: 2.135, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9144, kappa: 0.8263, kb_relative_information_score: 1003.9835, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9153, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5128, scimark_benchmark: 1751.5974, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1221.5445, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2498, scimark_benchmark: 1740.277, usercpu_time_millis: 5.081, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 4.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1292.9197, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2076, scimark_benchmark: 1771.255, usercpu_time_millis: 11.341, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 10.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9208, kappa: 0.8392, kb_relative_information_score: 840.741, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9231, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5338, scimark_benchmark: 1737.5952, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1124.603, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3506, scimark_benchmark: 1738.3947, usercpu_time_millis: 5.31, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 4.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9766, kappa: 0.9526, kb_relative_information_score: 1183.1509, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.2991, scimark_benchmark: 1759.7626, usercpu_time_millis: 1.99, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1188.4819, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2643, scimark_benchmark: 1762.2366, usercpu_time_millis: 4.278, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 3.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.887, kappa: 0.7706, kb_relative_information_score: 407.6773, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8949, predictive_accuracy: 0.8885, prior_entropy: 0.9912, recall: 0.8885, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7837, scimark_benchmark: 1749.2121, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1235.8471, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.239, scimark_benchmark: 1747.8406, usercpu_time_millis: 4.246, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1170.1679, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3037, scimark_benchmark: 1746.1701, usercpu_time_millis: 1.436, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1280.0493, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1926, scimark_benchmark: 2140.2483, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1262.2372, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1741.7896, usercpu_time_millis: 8.656, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 7.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1288.3401, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.187, scimark_benchmark: 1741.889, usercpu_time_millis: 7.74, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 6.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1270.2779, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176, scimark_benchmark: 1732.4551, usercpu_time_millis: 6.26, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 5.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.4261, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 790.8108, usercpu_time_millis: 15.334, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 14.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9193, kappa: 0.8362, kb_relative_information_score: 825.417, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9218, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5441, scimark_benchmark: 1918.0563, usercpu_time_millis: 2.741, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9179, kappa: 0.8333, kb_relative_information_score: 973.5078, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9201, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5078, scimark_benchmark: 1732.4551, usercpu_time_millis: 7.156, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 6.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9216, kappa: 0.8408, kb_relative_information_score: 807.7694, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9238, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5533, scimark_benchmark: 1916.6721, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1294.5566, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.1923, scimark_benchmark: 1779.0288, usercpu_time_millis: 2.28, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 1108.119, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3836, scimark_benchmark: 790.2464, usercpu_time_millis: 13.264, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 12.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1288.2093, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2152, scimark_benchmark: 1773.0925, usercpu_time_millis: 11.155, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 10.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0066, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1749.2121, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1300.5262, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1818, scimark_benchmark: 791.0776, usercpu_time_millis: 14.474, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 13.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1244.7796, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2139, scimark_benchmark: 789.8912, usercpu_time_millis: 13.495, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 12.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1283.7537, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1812, scimark_benchmark: 1738.1082, usercpu_time_millis: 7.085, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 1141.7103, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3471, scimark_benchmark: 1755.4795, usercpu_time_millis: 6.314, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 5.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1289.4054, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.1862, scimark_benchmark: 1788.5094, usercpu_time_millis: 6.932, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 6.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1294.0314, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1896, scimark_benchmark: 1736.2866, usercpu_time_millis: 4.341, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9342, kappa: 0.8664, kb_relative_information_score: 864.4482, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9351, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5146, scimark_benchmark: 1841.9233, usercpu_time_millis: 4.103, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 3.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1236.0517, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2406, scimark_benchmark: 1919.7571, usercpu_time_millis: 0.706, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1176.1611, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2783, scimark_benchmark: 1733.6438, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1247.4776, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2116, scimark_benchmark: 1732.0835, usercpu_time_millis: 9.537, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 8.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9759, kappa: 0.9512, kb_relative_information_score: 1159.2737, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3196, scimark_benchmark: 1738.3402, usercpu_time_millis: 5.51, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 4.82,

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