Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1776 Supervised Classification mfeat-factors 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 0.0463, build_memory: 475656652, f_measure: 0.3649, kappa: 0.3024, kb_relative_information_score: 3434.7345, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3611, predictive_accuracy: 0.3722, prior_entropy: 3.3219, recall: 0.3722, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.1811, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 0.0597, build_memory: 1248553599.2, f_measure: 0.3649, kappa: 0.3024, kb_relative_information_score: 3434.7345, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3611, predictive_accuracy: 0.3722, prior_entropy: 3.3219, recall: 0.3722, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.1811, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 0.0519, build_memory: 118223855.2, f_measure: 0.3649, kappa: 0.3024, kb_relative_information_score: 3434.7345, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3611, predictive_accuracy: 0.3722, prior_entropy: 3.3219, recall: 0.3722, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.1811, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.9095, build_memory: 788693491.2, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 11.3228, build_memory: 1196117126.4, f_measure: 0.9351, kappa: 0.9281, kb_relative_information_score: 9340.23, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9356, predictive_accuracy: 0.9353, prior_entropy: 3.3219, recall: 0.9353, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3539, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 0.0454, build_memory: 333946546.4, f_measure: 0.3649, kappa: 0.3024, kb_relative_information_score: 3434.7345, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3611, predictive_accuracy: 0.3722, prior_entropy: 3.3219, recall: 0.3722, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.1811, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 12.5414, build_memory: 300833333.6, f_measure: 0.9351, kappa: 0.9281, kb_relative_information_score: 9340.23, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9356, predictive_accuracy: 0.9353, prior_entropy: 3.3219, recall: 0.9353, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.3539, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 10.7904, build_memory: 722156523.2, f_measure: 0.9352, kappa: 0.9282, kb_relative_information_score: 9340.5067, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 3.3219, recall: 0.9354, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3537, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 8.3316, build_memory: 794243748.8, f_measure: 0.9358, kappa: 0.9289, kb_relative_information_score: 9342.0824, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9363, predictive_accuracy: 0.936, prior_entropy: 3.3219, recall: 0.936, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3517, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, build_cpu_time: 0.0677, build_memory: 609587456, f_measure: 0.3649, kappa: 0.3024, kb_relative_information_score: 3434.7345, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3611, predictive_accuracy: 0.3722, prior_entropy: 3.3219, recall: 0.3722, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.1811, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.915, build_memory: 543613302.4, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 18.6147, build_memory: 1914641618.4, f_measure: 0.9393, kappa: 0.9326, kb_relative_information_score: 8821.2726, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9396, predictive_accuracy: 0.9393, prior_entropy: 3.3219, recall: 0.9393, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716, scimark_benchmark: 944.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 1992.0399, build_memory: 732286712, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 9645.7611, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3219, recall: 0.9722, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2204, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 3807.6605, build_memory: 122707135.2, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 9647.9906, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.2198, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 914.2219, build_memory: 579416592, f_measure: 0.9722, kappa: 0.9691, kb_relative_information_score: 9645.9562, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3219, recall: 0.9722, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.221, scimark_benchmark: 1035.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 6.5485, build_memory: 1408236574.4, f_measure: 0.9357, kappa: 0.9287, kb_relative_information_score: 8904.2012, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9358, predictive_accuracy: 0.9358, prior_entropy: 3.3219, recall: 0.9358, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3621, scimark_benchmark: 943.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 11.9386, build_memory: 182908359.2, f_measure: 0.94, kappa: 0.9333, kb_relative_information_score: 8922.7031, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3535, scimark_benchmark: 935.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, build_cpu_time: 0.4029, build_memory: 118141433.6, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 8520.1468, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, recall: 0.8594, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5413, scimark_benchmark: 933.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, build_cpu_time: 0.4224, build_memory: 133202934.4, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 8520.1468, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, recall: 0.8594, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5413, scimark_benchmark: 935.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0281, build_memory: 2529449611.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 25.9207, build_memory: 92340170.4, f_measure: 0.9619, kappa: 0.9577, kb_relative_information_score: 9615.1301, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 3.3219, recall: 0.9619, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2726, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 15.883, build_memory: 470031276, f_measure: 0.9618, kappa: 0.9576, kb_relative_information_score: 9608.5233, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 3.3219, recall: 0.9618, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2743, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 8.4684, build_memory: 824909682.4, f_measure: 0.9574, kappa: 0.9527, kb_relative_information_score: 9572.3891, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 3.3219, recall: 0.9574, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8425, build_memory: 785626685.6, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8665, build_memory: 1753386195.2, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0168, build_memory: 594052963.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0248, build_memory: 1055628879.2, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 4.3114, build_memory: 726562272, f_measure: 0.9508, kappa: 0.9453, kb_relative_information_score: 9509.9217, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 3.3219, recall: 0.9508, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2999, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 2.3493, build_memory: 390640016, f_measure: 0.9399, kappa: 0.9332, kb_relative_information_score: 9389.293, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 3.3219, recall: 0.9399, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.3223, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, build_cpu_time: 5.4761, build_memory: 1348993203.2, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 8328.067, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.47, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 11.0726, build_memory: 814298097.6, f_measure: 0.9684, kappa: 0.9649, kb_relative_information_score: 8332.8322, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 3.3219, recall: 0.9684, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4692, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 21.9099, build_memory: 787254200, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 8322.2534, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.7969, build_memory: 2519844172, f_measure: 0.9592, kappa: 0.9547, kb_relative_information_score: 8701.08, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 3.3219, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0205, build_memory: 2409087293.6, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0256, build_memory: 1115759450.4, f_measure: 0.8218, kappa: 0.8022, kb_relative_information_score: 8138.5517, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.7526, build_memory: 1174451728, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 27.4391, build_memory: 2183275324, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 9588.2375, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2885, scimark_benchmark: 930.7694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8573, kappa: 0.8414, kb_relative_information_score: 8517.6268, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8575, predictive_accuracy: 0.8573, prior_entropy: 3.3219, recall: 0.8573, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5415, scimark_benchmark: 939.9176, usercpu_time_millis: 2300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 1372.2145, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 918.6005, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8324, kappa: 0.8133, kb_relative_information_score: 8012.6521, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5656, scimark_benchmark: 1335.4072, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.0238, kappa: 0.0031, kb_relative_information_score: 617.4638, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.41, predictive_accuracy: 0.1028, prior_entropy: 3.3219, recall: 0.1028, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.412, scimark_benchmark: 1368.9272, usercpu_time_millis: 8450, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8732, kappa: 0.8597, kb_relative_information_score: 8654.7047, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8736, predictive_accuracy: 0.8737, prior_entropy: 3.3219, recall: 0.8737, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5203, scimark_benchmark: 1384.4418, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8808, kappa: 0.8676, kb_relative_information_score: 8753.4571, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8914, predictive_accuracy: 0.8808, prior_entropy: 3.3219, recall: 0.8808, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5147, scimark_benchmark: 1315.395, usercpu_time_millis: 4770, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8566, kappa: 0.8406, kb_relative_information_score: 8380.1808, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8571, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.534, scimark_benchmark: 1354.2491, usercpu_time_millis: 4570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1339.3974, usercpu_time_millis: 15360, usercpu_time_millis_training: 15360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1367.8403, usercpu_time_millis: 16330, usercpu_time_millis_training: 16330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 8559.7661, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3874, scimark_benchmark: 1321.8733, usercpu_time_millis: 5080, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1322.7383, usercpu_time_millis: 6280, usercpu_time_millis_testing: 5610, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 1312.0581, usercpu_time_millis: 2500, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.6911, usercpu_time_millis: 6380, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.6911, usercpu_time_millis: 6360, usercpu_time_millis_testing: 5660, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1335.643, usercpu_time_millis: 540, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1371.9645, usercpu_time_millis: 14980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3788, kappa: 0.3172, kb_relative_information_score: 3573.8202, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3774, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8595, kappa: 0.8438, kb_relative_information_score: 8520.1468, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8594, prior_entropy: 3.3219, recall: 0.8594, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5413, scimark_benchmark: 1028.5889, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8516, kappa: 0.8351, kb_relative_information_score: 8448.0959, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8519, predictive_accuracy: 0.8516, prior_entropy: 3.3219, recall: 0.8516, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5743, scimark_benchmark: 1028.5889, usercpu_time_millis: 77920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 77910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 9652.8551, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 3.3219, recall: 0.9674, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2373, scimark_benchmark: 1337.7959, usercpu_time_millis: 10660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8042, kappa: 0.7823, kb_relative_information_score: 7951.3611, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8048, predictive_accuracy: 0.8041, prior_entropy: 3.3219, recall: 0.8041, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6598, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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