OpenML
Supervised Classification on autoHorse

Supervised Classification on autoHorse

Task 4410 Supervised Classification autoHorse 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9444, kappa: 0.8838, kb_relative_information_score: 1730.0481, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9469, predictive_accuracy: 0.9449, prior_entropy: 0.9742, recall: 0.9449, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4564, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9589, kappa: 0.9144, kb_relative_information_score: 1728.5415, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9593, predictive_accuracy: 0.959, prior_entropy: 0.9742, recall: 0.959, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3765, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9673, kappa: 0.932, kb_relative_information_score: 1853.9212, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9742, recall: 0.9673, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3399, scimark_benchmark: 934.3687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 904.0772, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9307, kappa: 0.8554, kb_relative_information_score: 1523.1683, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 0.9742, recall: 0.9312, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4599, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9702, kappa: 0.9381, kb_relative_information_score: 1780.6154, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9742, recall: 0.9702, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3293, scimark_benchmark: 941.6675, usercpu_time_millis: 910, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9526, kappa: 0.9013, kb_relative_information_score: 1826.6943, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.9742, recall: 0.9527, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4132, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9102, kappa: 0.8149, kb_relative_information_score: 1662.4246, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9123, predictive_accuracy: 0.9098, prior_entropy: 0.9742, recall: 0.9098, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5785, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9814, kappa: 0.9613, kb_relative_information_score: 1755.5173, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.9742, recall: 0.9815, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3101, scimark_benchmark: 937.5117, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9444, kappa: 0.8838, kb_relative_information_score: 1730.0481, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9469, predictive_accuracy: 0.9449, prior_entropy: 0.9742, recall: 0.9449, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4564, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9589, kappa: 0.9144, kb_relative_information_score: 1728.5415, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9593, predictive_accuracy: 0.959, prior_entropy: 0.9742, recall: 0.959, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3765, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9673, kappa: 0.932, kb_relative_information_score: 1853.9212, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9742, recall: 0.9673, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3399, scimark_benchmark: 938.1282, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 934.7923, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 926.5462, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9307, kappa: 0.8554, kb_relative_information_score: 1523.1683, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 0.9742, recall: 0.9312, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4599, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9702, kappa: 0.9381, kb_relative_information_score: 1780.6154, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9742, recall: 0.9702, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3293, scimark_benchmark: 938.4601, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9526, kappa: 0.9013, kb_relative_information_score: 1826.6943, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.9742, recall: 0.9527, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4132, scimark_benchmark: 945.6228, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9814, kappa: 0.9613, kb_relative_information_score: 1755.5173, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.9742, recall: 0.9815, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3101, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9834, kappa: 0.9654, kb_relative_information_score: 1824.5978, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9839, predictive_accuracy: 0.9834, prior_entropy: 0.9742, recall: 0.9834, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2667, scimark_benchmark: 1171.0303, usercpu_time_millis: 3790, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9843, kappa: 0.9674, kb_relative_information_score: 1818.9634, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9848, predictive_accuracy: 0.9844, prior_entropy: 0.9742, recall: 0.9844, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.2757, scimark_benchmark: 859.5223, usercpu_time_millis: 1790, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9819, kappa: 0.9623, kb_relative_information_score: 1819.1074, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.9742, recall: 0.982, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2791, scimark_benchmark: 933.9243, usercpu_time_millis: 760, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9834, kappa: 0.9654, kb_relative_information_score: 1812.8791, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9838, predictive_accuracy: 0.9834, prior_entropy: 0.9742, recall: 0.9834, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.285, scimark_benchmark: 944.235, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9819, kappa: 0.9624, kb_relative_information_score: 1815.6619, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.9742, recall: 0.982, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.2943, scimark_benchmark: 939.7241, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9565, kappa: 0.9095, kb_relative_information_score: 1820.7562, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.9742, recall: 0.9566, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3783, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9565, kappa: 0.9095, kb_relative_information_score: 1820.7562, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.9742, recall: 0.9566, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3783, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9565, kappa: 0.9095, kb_relative_information_score: 1820.7562, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.9742, recall: 0.9566, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3783, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9565, kappa: 0.9095, kb_relative_information_score: 1820.7562, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.9742, recall: 0.9566, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3783, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.4441, kb_relative_information_score: -0.8967, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9526, kappa: 0.9013, kb_relative_information_score: 1826.6943, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.9742, recall: 0.9527, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4132, scimark_benchmark: 1375.1578, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9814, kappa: 0.9613, kb_relative_information_score: 1755.5173, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.9742, recall: 0.9815, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3101, scimark_benchmark: 1374.9737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9444, kappa: 0.8838, kb_relative_information_score: 1730.0481, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9469, predictive_accuracy: 0.9449, prior_entropy: 0.9742, recall: 0.9449, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4564, scimark_benchmark: 1336.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9702, kappa: 0.9381, kb_relative_information_score: 1780.6154, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9742, recall: 0.9702, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3293, scimark_benchmark: 1322.3407, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9102, kappa: 0.8149, kb_relative_information_score: 1662.4246, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9123, predictive_accuracy: 0.9098, prior_entropy: 0.9742, recall: 0.9098, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5785, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9307, kappa: 0.8554, kb_relative_information_score: 1523.1683, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 0.9742, recall: 0.9312, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4599, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1937.9805, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9742, recall: 0.9829, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2751, scimark_benchmark: 1335.3312, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9526, kappa: 0.9013, kb_relative_information_score: 1826.6943, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.9742, recall: 0.9527, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4132, scimark_benchmark: 1326.2019, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9814, kappa: 0.9613, kb_relative_information_score: 1755.5173, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.9742, recall: 0.9815, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3101, scimark_benchmark: 1336.5541, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9716, kappa: 0.9409, kb_relative_information_score: 1907.4504, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9742, recall: 0.9717, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3233, scimark_benchmark: 1304.4677, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9589, kappa: 0.9144, kb_relative_information_score: 1728.5415, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9593, predictive_accuracy: 0.959, prior_entropy: 0.9742, recall: 0.959, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3765, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9663, kappa: 0.93, kb_relative_information_score: 1851.5073, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.9742, recall: 0.9663, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3419, scimark_benchmark: 1342.2845, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1307.9497, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4441, kb_relative_information_score: 300.6231, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.3542, predictive_accuracy: 0.5951, prior_entropy: 0.9742, recall: 0.5951, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6363, root_relative_squared_error: 1.2963, scimark_benchmark: 1349.9643, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9102, kappa: 0.8149, kb_relative_information_score: 1662.4246, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4821, number_of_instances: 2050, precision: 0.9123, predictive_accuracy: 0.9098, prior_entropy: 0.9742, recall: 0.9098, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5785, scimark_benchmark: 1335.2021,

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