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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
0 likes downloaded by 31 people , 58 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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Metric:

4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.0238, build_memory: 193496242.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.1428, mean_absolute_error: 0.0586, 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: 0.1318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2835, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.049, build_memory: 539194125.6, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 133.6608, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3122, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.0796, build_memory: 421209553.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6843, mean_absolute_error: 0.0597, 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: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.1627, build_memory: 468678668, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.8051, mean_absolute_error: 0.06, 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: 0.1349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2835, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.328, build_memory: 426262756.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.29, mean_absolute_error: 0.0614, 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: 0.1381, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.295, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.1541, build_memory: 423169975.2, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.3655, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3038, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.0755, build_memory: 410335086.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.4597, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2973, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.0299, build_memory: 394402768, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.668, mean_absolute_error: 0.0381, 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: 0.0856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3018, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 0.021, build_memory: 454593885.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.6592, mean_absolute_error: 0.0412, 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: 0.0927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3094, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0221, build_memory: 234183245.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.5026, mean_absolute_error: 0.0386, 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: 0.0869, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3019, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.1363, build_memory: 481547704, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.8495, mean_absolute_error: 0.2295, 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: 0.5164, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.6018, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.5633, build_memory: 499810430.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.8134, mean_absolute_error: 0.2296, 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: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.6019, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.2789, build_memory: 488073434.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 91.9594, mean_absolute_error: 0.2293, 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: 0.5158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6008, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.1435, build_memory: 465775348.8, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 91.683, mean_absolute_error: 0.2299, 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: 0.5173, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.6033, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 0.0748, build_memory: 494140383.2, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 91.8098, 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: 0.2837, root_relative_squared_error: 0.6018, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.0361, build_memory: 493424981.6, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 141.4453, mean_absolute_error: 0.0313, 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: 0.0704, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.2725, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 2.1026, build_memory: 258730264, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 141.4521, mean_absolute_error: 0.0314, 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: 0.0706, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2716, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4.1849, build_memory: 412314423.2, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.5788, mean_absolute_error: 0.0309, 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: 0.0694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2698, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 8.3527, build_memory: 407982382.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.5455, mean_absolute_error: 0.0309, 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: 0.0696, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2717, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 16.5757, build_memory: 446400256.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.5741, mean_absolute_error: 0.0308, 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: 0.0694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.271, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1145, build_memory: 360819204, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 139.4434, 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: 0.1162, root_relative_squared_error: 0.2465, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.0717, build_memory: 278665369.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.2428, mean_absolute_error: 0.0415, 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: 0.0934, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.25, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.0337, build_memory: 293016196.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 140.8189, 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: 0.0786, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2408, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.0157, build_memory: 271709388, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 138.8367, mean_absolute_error: 0.0427, 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: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2601, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.0103, build_memory: 183826125.6, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.4999, mean_absolute_error: 0.0319, 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: 0.0717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.233, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.1664, build_memory: 187734662.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5862, mean_absolute_error: 0.0473, 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: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0805, build_memory: 134617724.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.777, mean_absolute_error: 0.0506, 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: 0.1138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0418, build_memory: 90663929.6, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.569, mean_absolute_error: 0.0473, 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: 0.1064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0287, build_memory: 74756492, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.9829, mean_absolute_error: 0.0488, 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: 0.1098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2937, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 0.0329, build_memory: 59445893.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, 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: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 1684.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0795, mean_absolute_error: 0.0354, 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: 0.0797, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 0.005, build_memory: 316557475.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.1804, mean_absolute_error: 0.0349, 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: 0.0786, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3934, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 0.006, build_memory: 261304060.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.9934, mean_absolute_error: 0.0364, 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: 0.0819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3692, scimark_benchmark: 1552.123,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, build_cpu_time: 5.2187, build_memory: 238591616.8, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, 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: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0091, build_memory: 601009153.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, 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: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 1552.123,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0035, build_memory: 497780851.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, 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: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 1552.123,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0059, build_memory: 448045296.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, 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: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.0676, build_memory: 425715392.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7885, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3459, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.133, build_memory: 384735323.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 142.0073, mean_absolute_error: 0.0257, 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: 0.0578, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3349, scimark_benchmark: 1552.123,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.2866, build_memory: 351795975.2, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 143.1176, mean_absolute_error: 0.0231, 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: 0.0521, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2837, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 1.1434, build_memory: 150859928, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 142.1376, mean_absolute_error: 0.0251, 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: 0.0566, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3233, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 1.248, build_memory: 151501898.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 142.1376, mean_absolute_error: 0.0251, 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: 0.0566, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3233, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.7075, mean_absolute_error: 0.0298, 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: 0.0671, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 1.3458, build_memory: 153747743.2, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 143.3708, mean_absolute_error: 0.0213, 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: 0.0479, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3039, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 0.8534, build_memory: 190443315.2, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 144.4209, mean_absolute_error: 0.0183, 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: 0.0411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.2831, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.0139, build_memory: 148173708, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7567, mean_absolute_error: 0.0268, 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: 0.0603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3462, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 0.0295, build_memory: 126352711.2, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.4431, mean_absolute_error: 0.0211, 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: 0.0475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.2989, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.0234, build_memory: 126774625.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.7037, mean_absolute_error: 0.0343, 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: 0.0772, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3633, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0173, build_memory: 95248962.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, 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: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0264, build_memory: 107263029.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, 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: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 0.0293, build_memory: 114314309.6, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.4578, mean_absolute_error: 0.0346, 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: 0.0779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3793, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0136, build_memory: 107866834.4, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.1119, mean_absolute_error: 0.0353, 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: 0.0794, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3906, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.0061, build_memory: 88037363.2, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.6936, mean_absolute_error: 0.0373, 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: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3805, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4317, mean_absolute_error: 0.0352, 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: 0.0791, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, build_cpu_time: 0.0021, build_memory: 122937157.6, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 129.7312, mean_absolute_error: 0.074, 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: 0.1664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1552.123,

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