Task
Supervised Classification on houses

Supervised Classification on houses

Task 3688 Supervised Classification houses 383 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9087, kb_relative_information_score: 18641.0769, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9766, kappa: 0.9523, kb_relative_information_score: 19647.5664, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 0.9866, recall: 0.9766, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, scimark_benchmark: 1959.6455, usercpu_time_millis: 499812.5, usercpu_time_millis_testing: 108593.75, usercpu_time_millis_training: 391218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, scimark_benchmark: 1959.6455, usercpu_time_millis: 32156.25, usercpu_time_millis_testing: 13671.875, usercpu_time_millis_training: 18484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.6072, kappa: 0.2389, kb_relative_information_score: 6029.5786, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.6984, predictive_accuracy: 0.6555, prior_entropy: 0.9866, recall: 0.6555, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.587, root_relative_squared_error: 1.185, scimark_benchmark: 1631.1992, usercpu_time_millis: 298562.5, usercpu_time_millis_testing: 5343.75, usercpu_time_millis_training: 293218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, scimark_benchmark: 1627.1721, usercpu_time_millis: 43690, usercpu_time_millis_testing: 13670, usercpu_time_millis_training: 30020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, scimark_benchmark: 1351.56, usercpu_time_millis: 830020, usercpu_time_millis_testing: 207120, usercpu_time_millis_training: 622900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.6072, kappa: 0.2389, kb_relative_information_score: 6029.5786, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.6984, predictive_accuracy: 0.6555, prior_entropy: 0.9866, recall: 0.6555, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.587, root_relative_squared_error: 1.185, scimark_benchmark: 1664.2689, usercpu_time_millis: 320960, usercpu_time_millis_testing: 5960, usercpu_time_millis_training: 315000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9679, kappa: 0.9345, kb_relative_information_score: 18283.5117, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 0.9866, recall: 0.968, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3449, scimark_benchmark: 1908.2191, usercpu_time_millis: 55578.125, usercpu_time_millis_training: 55578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.963, kappa: 0.9246, kb_relative_information_score: 18490.004, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.9866, recall: 0.963, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3305, scimark_benchmark: 1908.2191, usercpu_time_millis: 51578.125, usercpu_time_millis_training: 51578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6837, kappa: 0.3524, kb_relative_information_score: 7404.116, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.6853, predictive_accuracy: 0.6879, prior_entropy: 0.9866, recall: 0.6879, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1279, scimark_benchmark: 1827.4462, usercpu_time_millis: 416421.875, usercpu_time_millis_testing: 4718.75, usercpu_time_millis_training: 411703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9798, kappa: 0.9589, kb_relative_information_score: 19598.6571, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 0.9866, recall: 0.9798, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2468, scimark_benchmark: 1656.3894, usercpu_time_millis: 14630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 14600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9634, kappa: 0.9254, kb_relative_information_score: 18516.6061, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9866, recall: 0.9634, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3296, scimark_benchmark: 1760.5198, usercpu_time_millis: 5203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5187.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9087, kb_relative_information_score: 18641.0769, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405, scimark_benchmark: 1271.5819, usercpu_time_millis: 360, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9677, kappa: 0.9341, kb_relative_information_score: 18278.3158, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 0.9866, recall: 0.9678, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3425, scimark_benchmark: 1315.4742, usercpu_time_millis: 7920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 19018.8542, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 0.9866, recall: 0.9618, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3947, scimark_benchmark: 1618.1738, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9624, kappa: 0.9233, kb_relative_information_score: 19045.5642, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9866, recall: 0.9624, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3914, scimark_benchmark: 1618.1738, usercpu_time_millis: 843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 18673.6485, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9866, recall: 0.9632, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.328, scimark_benchmark: 1744.8652, usercpu_time_millis: 515.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9705, kappa: 0.9399, kb_relative_information_score: 19389.2056, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9866, recall: 0.9705, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3465, scimark_benchmark: 1744.8652, usercpu_time_millis: 14906.25, usercpu_time_millis_testing: 14843.75, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9796, kappa: 0.9583, kb_relative_information_score: 19454.382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9866, recall: 0.9796, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2544, scimark_benchmark: 1744.8652, usercpu_time_millis: 3281.25, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 3234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9813, kappa: 0.9618, kb_relative_information_score: 19502.6179, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.9866, recall: 0.9813, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2636, scimark_benchmark: 1744.8652, usercpu_time_millis: 3109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9796, kappa: 0.9583, kb_relative_information_score: 19544.9085, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9866, recall: 0.9796, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2555, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9838, kappa: 0.967, kb_relative_information_score: 19651.9199, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9866, recall: 0.9838, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2184, scimark_benchmark: 1744.8652, usercpu_time_millis: 4015.625, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 3640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.969, kappa: 0.937, kb_relative_information_score: 18890.0565, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 0.9866, recall: 0.969, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3176, scimark_benchmark: 1744.8652, usercpu_time_millis: 375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9806, kappa: 0.9604, kb_relative_information_score: 19671.3033, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9866, recall: 0.9806, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2505, scimark_benchmark: 1744.8652, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9087, kb_relative_information_score: 18641.0769, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 19018.8542, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 0.9866, recall: 0.9618, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3947, scimark_benchmark: 1744.8652, usercpu_time_millis: 1140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9624, kappa: 0.9233, kb_relative_information_score: 19045.5642, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9866, recall: 0.9624, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3914, scimark_benchmark: 1744.8652, usercpu_time_millis: 750, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9677, kappa: 0.9341, kb_relative_information_score: 18277.3973, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 0.9866, recall: 0.9678, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3425, scimark_benchmark: 1744.8652, usercpu_time_millis: 5781.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 18673.6485, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9866, recall: 0.9632, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.328, scimark_benchmark: 1744.8652, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9705, kappa: 0.9399, kb_relative_information_score: 19389.2056, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9866, recall: 0.9705, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3465, scimark_benchmark: 1744.8652, usercpu_time_millis: 14953.125, usercpu_time_millis_testing: 14906.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9796, kappa: 0.9583, kb_relative_information_score: 19454.382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9866, recall: 0.9796, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2544, scimark_benchmark: 1744.8652, usercpu_time_millis: 3015.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9813, kappa: 0.9618, kb_relative_information_score: 19516.4403, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.9866, recall: 0.9813, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2666, scimark_benchmark: 1744.8652, usercpu_time_millis: 1328.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9796, kappa: 0.9583, kb_relative_information_score: 19543.6135, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9866, recall: 0.9796, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2554, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9842, kappa: 0.9678, kb_relative_information_score: 19648.982, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9866, recall: 0.9842, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2195, scimark_benchmark: 1744.8652, usercpu_time_millis: 4671.875, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 4296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.969, kappa: 0.937, kb_relative_information_score: 18890.0565, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 0.9866, recall: 0.969, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3176, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 203.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9588, kappa: 0.9161, kb_relative_information_score: 18829.1904, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.9866, recall: 0.9588, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3877, scimark_benchmark: 1838.8826, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9087, kb_relative_information_score: 18641.0769, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9866, recall: 0.9552, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.405, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4117, kb_relative_information_score: -0.0386, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.4953, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9832, kappa: 0.9658, kb_relative_information_score: 19926.994, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9866, recall: 0.9832, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2618, usercpu_time_millis: 897.409, usercpu_time_millis_testing: 114.795, usercpu_time_millis_training: 782.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5264, kappa: 0.0309, kb_relative_information_score: 954.6798, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5249, predictive_accuracy: 0.5358, prior_entropy: 0.9866, recall: 0.5358, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.3755, usercpu_time_millis: 42.986, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 42.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9693, kappa: 0.9373, kb_relative_information_score: 19337.3195, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9866, recall: 0.9693, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3538, usercpu_time_millis: 61.714, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 59.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9768, kappa: 0.9527, kb_relative_information_score: 19655.7848, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9866, recall: 0.9768, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3075, usercpu_time_millis: 6.088, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 5.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2605, kb_relative_information_score: -3452.4693, mean_absolute_error: 0.5681, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.1865, predictive_accuracy: 0.4319, prior_entropy: 0.9866, recall: 0.4319, relative_absolute_error: 1.1577, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5217, usercpu_time_millis: 5.679, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 5.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8781, kappa: 0.7509, kb_relative_information_score: 15614.3573, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.8987, predictive_accuracy: 0.8815, prior_entropy: 0.9866, recall: 0.8815, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.695, usercpu_time_millis: 2.948, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 2.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9665, kappa: 0.9315, kb_relative_information_score: 19222.2611, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9672, predictive_accuracy: 0.9666, prior_entropy: 0.9866, recall: 0.9666, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3691, usercpu_time_millis: 36.74, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 36.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4117, kb_relative_information_score: 2325.1079, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3228, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3267, usercpu_time_millis: 4.799, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 4.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9743, kappa: 0.9477, kb_relative_information_score: 19550.9995, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9866, recall: 0.9743, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3235, usercpu_time_millis: 0.859, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5775, kappa: 0.1719, kb_relative_information_score: 4638.6043, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.6331, predictive_accuracy: 0.6227, prior_entropy: 0.9866, recall: 0.6227, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.2401, usercpu_time_millis: 438.232, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 437.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9829, kappa: 0.9651, kb_relative_information_score: 19912.6117, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 0.9866, recall: 0.9828, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2644, usercpu_time_millis: 85.652, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 82.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9832, kappa: 0.9658, kb_relative_information_score: 19929.0486, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9866, recall: 0.9832, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2614, usercpu_time_millis: 98.319, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 97.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9745, kappa: 0.9481, kb_relative_information_score: 19557.1633, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 0.9866, recall: 0.9745, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3226, usercpu_time_millis: 1137.048, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1136.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9589, kappa: 0.9162, kb_relative_information_score: 18897.6319, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9866, recall: 0.9589, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4092, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9625, kappa: 0.9235, kb_relative_information_score: 19049.6734, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9866, recall: 0.9625, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3909, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 5.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4144, kappa: 0.0007, kb_relative_information_score: 2318.9441, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5294, predictive_accuracy: 0.568, prior_entropy: 0.9866, recall: 0.568, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, usercpu_time_millis: 2.625, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6699, kappa: 0.3251, kb_relative_information_score: 6707.6016, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.6694, predictive_accuracy: 0.6715, prior_entropy: 0.9866, recall: 0.6715, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1572, usercpu_time_millis: 313.322, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 313.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9788, kappa: 0.9568, kb_relative_information_score: 19742.0787, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9788, predictive_accuracy: 0.9788, prior_entropy: 0.9866, recall: 0.9788, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2938, usercpu_time_millis: 4.911, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 4.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.4292, kappa: 0.0121, kb_relative_information_score: 2458.6579, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5842, predictive_accuracy: 0.5713, prior_entropy: 0.9866, recall: 0.5713, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6548, root_relative_squared_error: 1.3219, usercpu_time_millis: 13.158, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 13.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9722, kappa: 0.9434, kb_relative_information_score: 19460.5964, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9866, recall: 0.9722, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3367, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5111, kappa: 0.0003, kb_relative_information_score: 19.83, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5094, predictive_accuracy: 0.5138, prior_entropy: 0.9866, recall: 0.5138, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6973, root_relative_squared_error: 1.4077, usercpu_time_millis: 3.368, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 3.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4118, kappa: 0.0001, kb_relative_information_score: 2327.1625, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.7547, predictive_accuracy: 0.5682, prior_entropy: 0.9866, recall: 0.5682, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6571, root_relative_squared_error: 1.3266, usercpu_time_millis: 1.942, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4658, kappa: -0.0001, kb_relative_information_score: 1745.7065, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.5092, predictive_accuracy: 0.5545, prior_entropy: 0.9866, recall: 0.5545, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6675, root_relative_squared_error: 1.3475, usercpu_time_millis: 297.535, usercpu_time_millis_testing: 16.15, usercpu_time_millis_training: 281.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4116, kappa: -0.0001, kb_relative_information_score: 2323.0533, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3227, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3268, usercpu_time_millis: 61.865, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 61.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9551, kappa: 0.9086, kb_relative_information_score: 18737.372, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.9866, recall: 0.9551, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4276, usercpu_time_millis: 7.83, usercpu_time_millis_testing: 7.274, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9632, kappa: 0.925, kb_relative_information_score: 19080.4927, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9866, recall: 0.9632, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3871, usercpu_time_millis: 5.041, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9616, kappa: 0.9217, kb_relative_information_score: 19012.6904, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.9866, recall: 0.9616, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.3955, usercpu_time_millis: 192.224, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 191.939,

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