OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1765 Supervised Classification anneal 298 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.0137, build_memory: 1498611964.8, f_measure: 0.8227, kappa: 0.5479, kb_relative_information_score: 1887.8865, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.856, predictive_accuracy: 0.8592, prior_entropy: 1.2149, recall: 0.8592, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.7341, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.0139, build_memory: 667290705.6, f_measure: 0.8227, kappa: 0.5479, kb_relative_information_score: 1887.8865, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.856, predictive_accuracy: 0.8592, prior_entropy: 1.2149, recall: 0.8592, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.7341, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, build_cpu_time: 0.0105, build_memory: 334116800, f_measure: 0.8118, kappa: 0.5168, kb_relative_information_score: 1790.576, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8478, predictive_accuracy: 0.8521, prior_entropy: 1.2149, recall: 0.8521, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.7432, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.1696, build_memory: 719353343.2, f_measure: 0.9439, kappa: 0.8614, kb_relative_information_score: 3712.1116, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9489, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4775, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.2301, build_memory: 823397904.8, f_measure: 0.9461, kappa: 0.8675, kb_relative_information_score: 3745.1202, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9493, predictive_accuracy: 0.9452, prior_entropy: 1.2149, recall: 0.9452, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.4708, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.2457, build_memory: 895835392, f_measure: 0.9455, kappa: 0.8657, kb_relative_information_score: 3741.1202, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9486, predictive_accuracy: 0.9445, prior_entropy: 1.2149, recall: 0.9445, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4718, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.2433, build_memory: 644621688.8, f_measure: 0.9455, kappa: 0.8657, kb_relative_information_score: 3741.1202, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9486, predictive_accuracy: 0.9445, prior_entropy: 1.2149, recall: 0.9445, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4718, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.2708, build_memory: 817240399.2, f_measure: 0.9455, kappa: 0.8657, kb_relative_information_score: 3741.1202, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9486, predictive_accuracy: 0.9445, prior_entropy: 1.2149, recall: 0.9445, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4718, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 11.6455, build_memory: 13357289.6, f_measure: 0.9723, kappa: 0.9321, kb_relative_information_score: 4029.2505, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.335, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 23.1171, build_memory: 27200336, f_measure: 0.9807, kappa: 0.9533, kb_relative_information_score: 4145.0513, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 1.2149, recall: 0.9815, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2876, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 37.1052, build_memory: 71910553.6, f_measure: 0.9839, kappa: 0.9601, kb_relative_information_score: 4172.6543, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 1.2149, recall: 0.9842, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2737, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, build_cpu_time: 465.534, build_memory: 278058222.4, f_measure: 0.9919, kappa: 0.9799, kb_relative_information_score: 4285.058, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 1.2149, recall: 0.992, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.2002, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 231.1241, build_memory: 128739745.6, f_measure: 0.9908, kappa: 0.9771, kb_relative_information_score: 4276.4224, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 1.2149, recall: 0.9909, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.2106, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 112.9464, build_memory: 1793106530.4, f_measure: 0.9908, kappa: 0.9771, kb_relative_information_score: 4272.8046, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 1.2149, recall: 0.9909, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2121, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 57.7606, build_memory: 68244671.2, f_measure: 0.9903, kappa: 0.976, kb_relative_information_score: 4269.7636, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 1.2149, recall: 0.9904, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.2176, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 4.4333, build_memory: 293066976, f_measure: 0.9892, kappa: 0.9738, kb_relative_information_score: 4247.1334, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 1.2149, recall: 0.9895, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2239, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 15.2264, build_memory: 245509809.6, f_measure: 0.9906, kappa: 0.9771, kb_relative_information_score: 4257.0955, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 1.2149, recall: 0.9909, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2125, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 34.8187, build_memory: 1293100182.4, f_measure: 0.9897, kappa: 0.9749, kb_relative_information_score: 4246.158, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 0.0567, build_memory: 1187046515.2, f_measure: 0.9881, kappa: 0.9709, kb_relative_information_score: 4224.3552, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9882, predictive_accuracy: 0.9884, prior_entropy: 1.2149, recall: 0.9884, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.234, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.1005, build_memory: 810572179.2, f_measure: 0.9886, kappa: 0.9721, kb_relative_information_score: 4231.9021, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.2335, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 0.1186, build_memory: 374618109.6, f_measure: 0.9883, kappa: 0.9715, kb_relative_information_score: 4226.191, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 1.2149, recall: 0.9886, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.2372, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.1699, build_memory: 748994437.6, f_measure: 0.9888, kappa: 0.9727, kb_relative_information_score: 4231.9, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 1.2149, recall: 0.9891, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2326, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.156, build_memory: 591962320, f_measure: 0.9888, kappa: 0.9727, kb_relative_information_score: 4231.9, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 1.2149, recall: 0.9891, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2326, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0861, build_memory: 703943804, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0395, build_memory: 165974284, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0608, build_memory: 137498417.6, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.0128, build_memory: 108096474.4, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.0114, build_memory: 69034052.8, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 9.8346, build_memory: 837590192, f_measure: 0.9918, kappa: 0.9799, kb_relative_information_score: 4281.8905, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 1.2149, recall: 0.992, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1985, scimark_benchmark: 930.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 5.5324, build_memory: 1671418868, f_measure: 0.9905, kappa: 0.9766, kb_relative_information_score: 4265.4437, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 1.2149, recall: 0.9906, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.2118, scimark_benchmark: 940.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 2.5043, build_memory: 1002280185.6, f_measure: 0.9892, kappa: 0.9733, kb_relative_information_score: 4254.8208, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.2149, recall: 0.9893, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2283, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 1.3229, build_memory: 1168111459.2, f_measure: 0.9889, kappa: 0.9728, kb_relative_information_score: 4242.6171, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 1.2149, recall: 0.9891, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.2316, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 0.099, build_memory: 1777932149.6, f_measure: 0.9799, kappa: 0.9502, kb_relative_information_score: 4101.5627, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9798, predictive_accuracy: 0.9802, prior_entropy: 1.2149, recall: 0.9802, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2894, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 0.0054, build_memory: 1039180178.4, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.0704, build_memory: 1152016310.4, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, build_cpu_time: 0.0261, build_memory: 179924973.6, f_measure: 0.9719, kappa: 0.9309, kb_relative_information_score: 3982.258, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 1.2149, recall: 0.9722, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.3577, scimark_benchmark: 945.4085,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 0.6211, build_memory: 807380004, f_measure: 0.9853, kappa: 0.9641, kb_relative_information_score: 4110.9177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.2149, recall: 0.9857, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2399, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, build_cpu_time: 0.1787, build_memory: 1256931452.8, f_measure: 0.8959, kappa: 0.7527, kb_relative_information_score: 3206.612, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.933, predictive_accuracy: 0.8831, prior_entropy: 1.2149, recall: 0.8831, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.6514, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 2672.0963, build_memory: 641423504.8, f_measure: 0.9838, kappa: 0.9596, kb_relative_information_score: 4089.7891, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9839, predictive_accuracy: 0.984, prior_entropy: 1.2149, recall: 0.984, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.2681, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 4088.3158, build_memory: 590370711.2, f_measure: 0.9831, kappa: 0.9579, kb_relative_information_score: 4086.2263, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2701, scimark_benchmark: 942.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 0.024, build_memory: 1366075220, f_measure: 0.9492, kappa: 0.8815, kb_relative_information_score: 3207.705, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9448, predictive_accuracy: 0.9539, prior_entropy: 1.2149, recall: 0.9539, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4941, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.0171, build_memory: 809860848, f_measure: 0.949, kappa: 0.8811, kb_relative_information_score: 3209.5537, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9447, predictive_accuracy: 0.9537, prior_entropy: 1.2149, recall: 0.9537, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4939, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 0.0078, build_memory: 45724068.8, f_measure: 0.9488, kappa: 0.8805, kb_relative_information_score: 3214.0253, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9445, predictive_accuracy: 0.9535, prior_entropy: 1.2149, recall: 0.9535, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4935, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 0.0043, build_memory: 1936507052.8, f_measure: 0.9484, kappa: 0.8795, kb_relative_information_score: 3211.0357, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9441, predictive_accuracy: 0.953, prior_entropy: 1.2149, recall: 0.953, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4932, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0036, build_memory: 1780651206.4, f_measure: 0.9501, kappa: 0.8837, kb_relative_information_score: 3204.7447, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9457, predictive_accuracy: 0.9548, prior_entropy: 1.2149, recall: 0.9548, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4957, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 27.2097, build_memory: 156252287.2, f_measure: 0.9863, kappa: 0.966, kb_relative_information_score: 4098.4548, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9863, predictive_accuracy: 0.9864, prior_entropy: 1.2149, recall: 0.9864, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2511, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 57.5961, build_memory: 596575852, f_measure: 0.9857, kappa: 0.9644, kb_relative_information_score: 4088.4218, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 1.2149, recall: 0.9857, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.2546, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 133.757, build_memory: 426642997.6, f_measure: 0.9879, kappa: 0.9699, kb_relative_information_score: 4097.4953, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 1.2149, recall: 0.988, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.251, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 264.0958, build_memory: 42092624, f_measure: 0.9874, kappa: 0.9689, kb_relative_information_score: 4105.4793, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 1.2149, recall: 0.9875, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.2465, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 436.7035, build_memory: 370463424, f_measure: 0.9866, kappa: 0.9666, kb_relative_information_score: 4104.1748, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.2462, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 2.4042, build_memory: 83881127.2, f_measure: 0.9772, kappa: 0.9447, kb_relative_information_score: 4071.6541, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2821, scimark_benchmark: 925.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.9901, build_memory: 418470118.4, f_measure: 0.9809, kappa: 0.9534, kb_relative_information_score: 4109.9333, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 1.2149, recall: 0.9815, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.2708, scimark_benchmark: 949.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.937, build_memory: 2366871188, f_measure: 0.9809, kappa: 0.9534, kb_relative_information_score: 4109.9333, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 1.2149, recall: 0.9815, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.2708, scimark_benchmark: 947.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.5092, build_memory: 1113468011.2, f_measure: 0.9801, kappa: 0.9512, kb_relative_information_score: 4106.757, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9808, predictive_accuracy: 0.9806, prior_entropy: 1.2149, recall: 0.9806, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2738, scimark_benchmark: 933.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.2819, build_memory: 78979076.8, f_measure: 0.979, kappa: 0.9485, kb_relative_information_score: 4103.742, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9798, predictive_accuracy: 0.9795, prior_entropy: 1.2149, recall: 0.9795, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2773, scimark_benchmark: 932.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, build_cpu_time: 0.2443, build_memory: 153935372, f_measure: 0.979, kappa: 0.9485, kb_relative_information_score: 4103.742, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9798, predictive_accuracy: 0.9795, prior_entropy: 1.2149, recall: 0.9795, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2773, scimark_benchmark: 944.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 0.1632, build_memory: 1480317185.6, f_measure: 0.9796, kappa: 0.95, kb_relative_information_score: 4103.3974, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 1.2149, recall: 0.9802, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2785, scimark_benchmark: 893.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 0.0332, build_memory: 27684597.6, f_measure: 0.9795, kappa: 0.949, kb_relative_information_score: 4101.6183, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9796, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.3045, scimark_benchmark: 927.6362,

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