Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0126, build_memory: 102556684.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0127, build_memory: 102665401.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2226, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3245, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0005, build_memory: 125867639.2, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0008, build_memory: 119823336.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0009, build_memory: 76839002.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0014, build_memory: 109795742.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0023, build_memory: 97973242.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.0143, build_memory: 106807716.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.0526, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3688, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.0055, build_memory: 105720608, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.0526, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3688, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.0052, build_memory: 76369746.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.0526, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3688, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, build_cpu_time: 0.0044, build_memory: 104151977.6, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.045, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3689, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.0029, build_memory: 87356896, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.5327, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3731, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.1107, build_memory: 325121058.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.2173, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2595, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.1456, build_memory: 439208688.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.3151, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2705, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.2407, build_memory: 376374172.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.8991, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2881, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.2487, build_memory: 443683008.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.9015, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.2806, build_memory: 373685684.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.9015, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1611.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.0023, build_memory: 611988925.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.5755, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.343, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 0.001, build_memory: 645640805.6, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 137.4455, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3468, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 136.1724, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, build_cpu_time: 0.0017, build_memory: 201300367.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7678, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3724, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.0009, build_memory: 164328693.6, f_measure: 0.4903, kappa: 0.42, kb_relative_information_score: 70.5939, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4094, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.077, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.0011, build_memory: 188063325.6, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.0008, build_memory: 211810861.6, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0034, build_memory: 239916634.4, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 125.9632, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4296, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.0072, build_memory: 270207950.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 134.5669, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3861, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.0028, build_memory: 337003385.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.4919, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 0.0006, build_memory: 363998736.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.7185, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0008, build_memory: 424918792, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, build_cpu_time: 0.0014, build_memory: 453069747.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.9394, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3609, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.0006, build_memory: 484439499.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.108, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2867, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.0026, build_memory: 513651264, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.9796, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3728, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 0.0258, build_memory: 547946975.2, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 118.8657, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4125, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0093, build_memory: 193263092.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.7873, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2961, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.6547, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 0.0004, build_memory: 307273324, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 127.2495, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4424, scimark_benchmark: 1642.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.0323, build_memory: 401491406.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 127.8679, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3141, scimark_benchmark: 1642.1848,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 0.043, build_memory: 337379691.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.5892, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 0.0803, build_memory: 308132383.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.161, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3278, scimark_benchmark: 1464.3958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, build_cpu_time: 0.3212, build_memory: 475744084.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1482, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3302, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.6407, build_memory: 478745123.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.2366, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3264, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 5.5037, build_memory: 475472318.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.7553, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 2.7631, build_memory: 472063294.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.877, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1.3886, build_memory: 447156339.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3738, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2648, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.6919, build_memory: 434693401.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.9538, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2692, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.3347, build_memory: 419399795.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8998, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2853, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 0.0011, build_memory: 372300174.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.3033, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4127, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 0.0016, build_memory: 494012657.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.9837, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3995, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, build_cpu_time: 0.0034, build_memory: 703013213.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.9289, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3998, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 0.0066, build_memory: 407256261.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.7239, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3988, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 0.0127, build_memory: 423399901.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 124.8084, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3956, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 13.1795, build_memory: 429821260.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 140.4762, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2602, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 6.6981, build_memory: 705072575.2, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.49, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2604, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 3.2951, build_memory: 355763031.2, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 140.8013, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2523, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 1.636, build_memory: 228163852.8, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 140.6388, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2489, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8377, build_memory: 278156224, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 140.0135, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2622, scimark_benchmark: 1464.3958,

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