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: 0.9947, build_cpu_time: 0.0148, build_memory: 612155191.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4616, mean_absolute_error: 0.037, 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: 0.0832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3216, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.0137, build_memory: 253051032, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4388, mean_absolute_error: 0.0391, 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: 0.0879, 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: 0.9945, build_cpu_time: 0.0072, build_memory: 374216893.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1686, mean_absolute_error: 0.0399, 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: 0.0899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3338, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.0035, build_memory: 444099094.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7701, 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: 0.1527, root_relative_squared_error: 0.3239, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.0019, build_memory: 491180873.6, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.407, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3306, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.001, build_memory: 524012149.6, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, 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: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.097, build_memory: 483612208, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3581, mean_absolute_error: 0.0369, 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: 0.0831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3087, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.1888, build_memory: 515105486.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2566, mean_absolute_error: 0.0376, 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: 0.0846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3094, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.4509, build_memory: 442310244, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.26, mean_absolute_error: 0.0374, 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: 0.0841, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3093, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 0.7854, build_memory: 517596887.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.0065, mean_absolute_error: 0.0382, 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: 0.0859, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3141, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 1.587, build_memory: 453332502.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1684, mean_absolute_error: 0.0377, 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: 0.0849, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3097, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.3551, mean_absolute_error: 0.0366, 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: 0.0824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1157, mean_absolute_error: 0.0374, 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: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, build_cpu_time: 0.0053, build_memory: 475748151.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.7852, mean_absolute_error: 0.0349, 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: 0.0785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3176, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 0.0026, build_memory: 520550328.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1013, mean_absolute_error: 0.0376, 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: 0.0845, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3293, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0016, build_memory: 553254699.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7486, mean_absolute_error: 0.0382, 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: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3423, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.5994, mean_absolute_error: 0.0479, 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: 0.1079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.2053, mean_absolute_error: 0.0469, 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: 0.1055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.0057, build_memory: 663451483.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7903, mean_absolute_error: 0.0486, 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: 0.1094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3148, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.012, build_memory: 554681994.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.5316, mean_absolute_error: 0.0496, 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: 0.1116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3169, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.0221, build_memory: 258040158.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.8538, mean_absolute_error: 0.0485, 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: 0.1092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3118, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 1.0588, build_memory: 583469282.4, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 91.1086, mean_absolute_error: 0.2316, 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: 0.5211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.608, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.5259, build_memory: 490339783.2, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 91.0728, mean_absolute_error: 0.2317, 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: 0.5213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6083, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.2606, build_memory: 460224653.6, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 91.0637, mean_absolute_error: 0.2317, 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: 0.5213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.6084, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 91.0846, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.0674, build_memory: 540917319.2, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 91.0215, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.287, root_relative_squared_error: 0.6088, scimark_benchmark: 1464.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.0345, build_memory: 209140881.6, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 135.2381, mean_absolute_error: 0.0529, 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: 0.119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3598, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.0026, build_memory: 339752962.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, 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: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, build_cpu_time: 0.0047, build_memory: 365824882.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 136.6765, mean_absolute_error: 0.046, 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: 0.1035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3714, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.0258, build_memory: 362364136, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, 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: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 0.0637, build_memory: 248353086.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7135, mean_absolute_error: 0.0471, 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: 0.1059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.345, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 0.0011, build_memory: 484050566.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.1249, mean_absolute_error: 0.0366, 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: 0.0823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3349, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 0.0007, build_memory: 504194963.2, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 135.6818, mean_absolute_error: 0.0521, 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: 0.1171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3378, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_cpu_time: 0.0002, build_memory: 517626156.8, f_measure: 0.552, kappa: 0.5, kb_relative_information_score: 81.5465, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4906, 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: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1714.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, build_cpu_time: 0.0005, build_memory: 53068487.2, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 62.9933, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8385, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7778, scimark_benchmark: 1625.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 0.001, build_memory: 71591895.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, 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: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1625.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0959, build_memory: 164184285.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 104.0754, mean_absolute_error: 0.1844, 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: 0.4149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4981, scimark_benchmark: 1625.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.9433, mean_absolute_error: 0.0525, 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: 0.1181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0087, build_memory: 243664958.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 0.0082, build_memory: 272269443.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 91.4849, mean_absolute_error: 0.2296, 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: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0076, build_memory: 218342202.4, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0087, build_memory: 256305108.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 92.1158, mean_absolute_error: 0.2281, 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: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0084, build_memory: 246157689.6, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.0085, build_memory: 271529104.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, build_cpu_time: 0.0105, build_memory: 272923372.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, 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: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 0.0138, build_memory: 229664933.6, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 86.9612, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.0801, build_memory: 491349588, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 139.611, mean_absolute_error: 0.0407, 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: 0.0916, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2508, scimark_benchmark: 1721.622,

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