Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 231 Supervised Classification anneal 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 153.621, build_memory: 1122184048, f_measure: 0.9762, kappa: 0.9459, kb_relative_information_score: 302.5299, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9767, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2929, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 321.589, build_memory: 33045912, f_measure: 1, kappa: 1, kb_relative_information_score: 318.8759, mean_absolute_error: 0, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0024, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 815.529, build_memory: 36672192, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 390.435, build_memory: 405370664, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 205.676, build_memory: 368033656, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 112.881, build_memory: 1523537464, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5.772, build_memory: 188808304, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 306.0662, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2069, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 10.477, build_memory: 1547972456, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 305.9365, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.2145, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 21.808, build_memory: 2687195584, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 305.9365, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.2145, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 44.141, build_memory: 54368224, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 305.9366, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.2145, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 91.361, build_memory: 212749480, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 305.9366, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.2145, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 1.052, build_memory: 665523272, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 307.0034, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.2126, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.999, build_memory: 275442456, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 307.0034, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.2126, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.965, build_memory: 431223984, f_measure: 0.9888, kappa: 0.9769, kb_relative_information_score: 307.0034, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9903, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.2126, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.654, build_memory: 676606072, f_measure: 0.9931, kappa: 0.9847, kb_relative_information_score: 311.4228, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9936, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1752, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.413, build_memory: 1784144056, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 316.8289, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9967, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0273, root_relative_squared_error: 0.1008, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.065, build_memory: 947735368, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.074, build_memory: 113588840, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.067, build_memory: 272901768, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.087, build_memory: 300060248, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.072, build_memory: 427713424, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 310.632, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1669, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, build_cpu_time: 0.059, build_memory: 385640624, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 291.1279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.39, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, build_cpu_time: 0.053, build_memory: 108870352, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 291.1279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.39, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, build_cpu_time: 0.142, build_memory: 201948664, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 291.1279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.39, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.013, build_memory: 49732992, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.01, build_memory: 429563376, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 15.689, build_memory: 1272970864, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 933.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 7.91, build_memory: 1595969104, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 901.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5.695, build_memory: 768013464, f_measure: 1, kappa: 1, kb_relative_information_score: 318.9215, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, root_mean_prior_squared_error: 0.2709, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.683, build_memory: 1062207112, f_measure: 0.9964, kappa: 0.9923, kb_relative_information_score: 317.057, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 1.2149, recall: 0.9966, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0973, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.433, build_memory: 1441125944, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 295.8791, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.3119, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.008, build_memory: 570010296, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.09, build_memory: 1037957224, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, build_cpu_time: 0.2, build_memory: 195871008, f_measure: 0.9728, kappa: 0.9395, kb_relative_information_score: 289.6982, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.977, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.3295, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, build_memory: 765468616, f_measure: 0.9665, kappa: 0.9239, kb_relative_information_score: 291.1279, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.967, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.39, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, build_cpu_time: 0.207, build_memory: 225026776, f_measure: 0.8511, kappa: 0.6981, kb_relative_information_score: -131.4794, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8226, predictive_accuracy: 0.8851, prior_entropy: 1.2149, recall: 0.8851, relative_absolute_error: 1.6003, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.3158, root_relative_squared_error: 1.1658, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, build_cpu_time: 0.127, build_memory: 659163680, f_measure: 0.9438, kappa: 0.8752, kb_relative_information_score: -120.4668, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9526, predictive_accuracy: 0.9493, prior_entropy: 1.2149, recall: 0.9493, relative_absolute_error: 1.5838, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.1521, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 1.595, build_memory: 524780104, f_measure: 0.9921, kappa: 0.9845, kb_relative_information_score: 307.2268, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.18, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.053, build_memory: 1064340024, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 287.1257, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3402, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.074, build_memory: 621858384, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 287.1257, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3402, scimark_benchmark: 945.1122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 4.383, build_memory: 170872152, f_measure: 0.9634, kappa: 0.9306, kb_relative_information_score: 299.0716, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9583, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2619, scimark_benchmark: 906.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 1.462, build_memory: 580701448, f_measure: 0.973, kappa: 0.9528, kb_relative_information_score: 306.0813, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9666, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2091, scimark_benchmark: 946.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.949, build_memory: 1027827552, f_measure: 0.973, kappa: 0.9528, kb_relative_information_score: 306.2479, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9666, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.056, root_relative_squared_error: 0.2066, scimark_benchmark: 931.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 0.511, build_memory: 811167152, f_measure: 0.973, kappa: 0.9528, kb_relative_information_score: 304.1058, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9666, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.2245, scimark_benchmark: 933.9616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.219, build_memory: 1068685248, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 303.2608, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.236, scimark_benchmark: 896.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.01, build_memory: 2211882120, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 296.0985, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2721, scimark_benchmark: 920.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.015, build_memory: 1850063672, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 296.0985, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2721, scimark_benchmark: 902.7225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 296.0985, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2721,
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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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs