OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, build_cpu_time: 0.3908, build_memory: 1595093091.4914, f_measure: 0.9189, kappa: 0.2743, kb_relative_information_score: -176.7376, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.226, root_relative_squared_error: 0.8891, scimark_benchmark: 918.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, build_cpu_time: 0.9362, build_memory: 1748569499.2029, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: -157.23, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.225, root_relative_squared_error: 0.8853, scimark_benchmark: 915.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, build_cpu_time: 1.5447, build_memory: 287098897.4355, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -133.6728, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.8805, scimark_benchmark: 940.1869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, build_cpu_time: 3.1252, build_memory: 840798960.1298, f_measure: 0.9189, kappa: 0.2743, kb_relative_information_score: -116.6712, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.8808, scimark_benchmark: 948.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 15.5428, build_memory: 1110208025.3129, f_measure: 0.9222, kappa: 0.2935, kb_relative_information_score: -21.4256, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.8884, scimark_benchmark: 948.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 18.6196, build_memory: 292656114.5032, f_measure: 0.9222, kappa: 0.2935, kb_relative_information_score: -21.4256, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.8884, scimark_benchmark: 763.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, build_cpu_time: 9.5198, build_memory: 2283492366.615, f_measure: 0.9216, kappa: 0.2895, kb_relative_information_score: -24.937, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9226, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.8938, scimark_benchmark: 946.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, build_cpu_time: 0.8857, build_memory: 443182795.073, f_measure: 0.9211, kappa: 0.2939, kb_relative_information_score: 328.1617, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9196, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9806, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, build_cpu_time: 1.903, build_memory: 67960611.9531, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: 280.4144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.9907, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, build_cpu_time: 1.8426, build_memory: 70619404.3138, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: 280.4144, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.9907, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 3.4685, build_memory: 605856950.5717, f_measure: 0.9211, kappa: 0.2939, kb_relative_information_score: 310.9081, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9196, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9864, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 4.1872, build_memory: 1679417264.1876, f_measure: 0.9211, kappa: 0.2939, kb_relative_information_score: 310.9081, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9196, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9864, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 6.7728, build_memory: 1001700003.6069, f_measure: 0.9201, kappa: 0.3019, kb_relative_information_score: 279.7595, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9159, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2571, root_relative_squared_error: 1.0114, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, build_cpu_time: 13.4703, build_memory: 1030155164.6096, f_measure: 0.9202, kappa: 0.3091, kb_relative_information_score: 287.6898, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9157, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2593, root_relative_squared_error: 1.0203, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, build_cpu_time: 211.9792, build_memory: 61853454.5212, f_measure: 0.917, kappa: 0.2636, kb_relative_information_score: -306.0711, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9126, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.8789, scimark_benchmark: 944.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, build_cpu_time: 93.1101, build_memory: 2657822108.5879, f_measure: 0.9228, kappa: 0.317, kb_relative_information_score: -307.0652, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9204, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8758, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 45.9879, build_memory: 1480051530.128, f_measure: 0.9236, kappa: 0.328, kb_relative_information_score: -340.1593, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.8799, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, build_cpu_time: 35.5935, build_memory: 376009989.7493, f_measure: 0.9229, kappa: 0.3241, kb_relative_information_score: -528.1686, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9197, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8952, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 14.3042, build_memory: 864981796.927, f_measure: 0.9172, kappa: 0.272, kb_relative_information_score: -613.45, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9123, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9216, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0035, build_memory: 1535285292.8404, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -499.3365, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.9529, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 1.1425, build_memory: 1951991209.349, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: 288.3315, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2594, root_relative_squared_error: 1.0207, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, build_cpu_time: 0.0071, build_memory: 2567692493.2516, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -543.5279, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.9538, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, build_cpu_time: 2.4153, build_memory: 2015342348.725, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: 271.1169, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2571, root_relative_squared_error: 1.0114, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, build_cpu_time: 0.0127, build_memory: 783471273.9477, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -550.3451, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.9548, scimark_benchmark: 1306.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, build_cpu_time: 0.0233, build_memory: 862785130.5537, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -514.6577, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.9549, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 0.041, build_memory: 1140294811.3977, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -503.3613, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.9541, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, build_cpu_time: 714.1755, build_memory: 55642485.064, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: -217.984, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.922, scimark_benchmark: 934.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, build_cpu_time: 304.8554, build_memory: 444207019.1596, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: -219.2319, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9244, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.1212, build_memory: 170555108.3354, f_measure: 0.8967, kappa: 0.1188, kb_relative_information_score: -421.1178, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8874, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0563, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, build_cpu_time: 0.5688, build_memory: 860334191.4157, f_measure: 0.8918, kappa: 0.2066, kb_relative_information_score: -405.3596, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.8864, prior_entropy: 0.3667, recall: 0.8864, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.2711, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, build_cpu_time: 0.5806, build_memory: 946517029.4536, f_measure: 0.8918, kappa: 0.2066, kb_relative_information_score: -405.3596, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.8864, prior_entropy: 0.3667, recall: 0.8864, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.2711, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 0.4712, build_memory: 168815977.5365, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: -26.7333, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.902, scimark_benchmark: 933.3421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 0.4802, build_memory: 181404261.1434, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: -26.7333, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.902, scimark_benchmark: 947.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 0.8631, build_memory: 1365735117.3959, f_measure: 0.9138, kappa: 0.2149, kb_relative_information_score: -9.5621, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9111, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8918, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, build_cpu_time: 0.1393, build_memory: 704532667.4265, f_measure: 0.9129, kappa: 0.174, kb_relative_information_score: 117.7688, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9339, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9643, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, build_cpu_time: 0.1923, build_memory: 96952218.0415, f_measure: 0.9129, kappa: 0.174, kb_relative_information_score: 117.7688, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9339, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9643, scimark_benchmark: 910.9043,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0613, build_memory: 238731171.6934, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 262.7668, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433, scimark_benchmark: 937.4673,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, build_cpu_time: 0.0004, build_memory: 261687950.3769, f_measure: 0.9184, kappa: 0.3643, kb_relative_information_score: 90.6757, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9179, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.1243, scimark_benchmark: 875.7999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, build_cpu_time: 0.9586, build_memory: 328424336.1226, f_measure: 0.9197, kappa: 0.3253, kb_relative_information_score: 69.5455, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9151, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9786, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, build_cpu_time: 0.1183, build_memory: 615619345.1181, f_measure: 0.8315, kappa: 0.0011, kb_relative_information_score: -2025.7704, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.871, predictive_accuracy: 0.798, prior_entropy: 0.3667, recall: 0.798, relative_absolute_error: 1.8841, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.7127, scimark_benchmark: 947.4397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 2.3841, build_memory: 1176312654.6222, f_measure: 0.9257, kappa: 0.402, kb_relative_information_score: 207.0321, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9232, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2589, root_relative_squared_error: 1.0186, scimark_benchmark: 911.2061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, build_cpu_time: 4.0308, build_memory: 1099989992.9666, f_measure: 0.9238, kappa: 0.3869, kb_relative_information_score: 213.6898, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9213, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2588, root_relative_squared_error: 1.0181, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, build_cpu_time: 0.7431, build_memory: 1170246948.4581, f_measure: 0.9167, kappa: 0.2547, kb_relative_information_score: -90.4066, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.9375, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 8.132, build_memory: 200060720.303, f_measure: 0.9156, kappa: 0.3564, kb_relative_information_score: 93.6848, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.1255, scimark_benchmark: 924.6733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.2645, build_memory: 154247736.0721, f_measure: 0.9269, kappa: 0.388, kb_relative_information_score: 267.0238, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9233, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9866, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.312, build_memory: 796107130.1353, f_measure: 0.9269, kappa: 0.388, kb_relative_information_score: 267.0238, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9233, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9866, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.302, build_memory: 772470329.0243, f_measure: 0.9269, kappa: 0.388, kb_relative_information_score: 267.0238, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9233, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9866, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.3311, build_memory: 475995562.2795, f_measure: 0.9269, kappa: 0.388, kb_relative_information_score: 267.0238, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9233, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9866, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, build_cpu_time: 0.3295, build_memory: 566362799.899, f_measure: 0.9275, kappa: 0.3966, kb_relative_information_score: 261.0102, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9241, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9881, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, build_cpu_time: 0.5194, build_memory: 883193738.8855, f_measure: 0.9197, kappa: 0.319, kb_relative_information_score: 119.3596, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9149, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.683, build_memory: 929513903.6465, f_measure: 0.9203, kappa: 0.3288, kb_relative_information_score: 128.5217, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9994, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.5903, build_memory: 1252388949.1506, f_measure: 0.9203, kappa: 0.3288, kb_relative_information_score: 128.5217, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9994, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.584, build_memory: 725746507.9098, f_measure: 0.9203, kappa: 0.3288, kb_relative_information_score: 128.5217, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9994, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.6198, build_memory: 694577428.7322, f_measure: 0.9203, kappa: 0.3288, kb_relative_information_score: 128.5217, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9994, scimark_benchmark: 945.0554,

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