OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4583 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4583 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0003, build_memory: 270319704, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0003, build_memory: 283476985.6, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0007, build_memory: 296318608.8, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 0.0004, build_memory: 309794904, f_measure: 0.9603, kappa: 0.94, kb_relative_information_score: 138.4582, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.961, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3551, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0003, build_memory: 322638243.2, 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: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0027, build_memory: 340119849.6, 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: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0022, build_memory: 359103048, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 137.011, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9477, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3784, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0012, build_memory: 376563014.4, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.001, build_memory: 392777430.4, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0014, build_memory: 408403079.2, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0148, build_memory: 274922198.4, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0011, build_memory: 67624048, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.0013, build_memory: 83485480, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.002, build_memory: 100969405.6, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 137.011, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9477, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3784, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0029, build_memory: 120326992, 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: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, build_cpu_time: 0.0045, build_memory: 141572960, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.2077, mean_absolute_error: 0.0369, 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: 0.083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.366, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0439, build_memory: 138214626.4, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, 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: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0368, build_memory: 138874848.8, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, 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: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.041, build_memory: 129922990.4, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, 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: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.0416, build_memory: 126734965.6, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, 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: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 0.037, build_memory: 131227699.2, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, 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: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, build_cpu_time: 0.0344, build_memory: 121700384.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.3919, mean_absolute_error: 0.0463, 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: 0.1041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3322, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0129, build_memory: 151623853.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, 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: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.0006, build_memory: 74533102.4, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 137.0474, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3651, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.0012, build_memory: 92850724, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.7664, mean_absolute_error: 0.0384, 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: 0.0864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3375, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0038, build_memory: 122527220, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4371, 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: 0.1513, root_relative_squared_error: 0.321, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.0113, build_memory: 130717188, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0858, 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: 0.153, root_relative_squared_error: 0.3247, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_memory: 98553302.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, 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: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_memory: 111538325.6, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 131.0591, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4466, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, build_cpu_time: 0.0077, build_memory: 142859696.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 135.2985, mean_absolute_error: 0.0512, 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: 0.1152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.415, scimark_benchmark: 1691.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0006, build_memory: 317521752, 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: 945.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0005, build_memory: 46952696.8, 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: 934.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, build_cpu_time: 0.0074, build_memory: 87946501.6, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.4313, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3691, scimark_benchmark: 943.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 803.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 848.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 829.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 839.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0007, build_memory: 26568841.6, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 843.0486,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.9354, mean_absolute_error: 0.041, 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: 0.0922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2701, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.8215, mean_absolute_error: 0.0413, 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: 0.093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2725, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.4413, 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: 0.0962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2793, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 138.4153, mean_absolute_error: 0.0435, 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: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.9541, mean_absolute_error: 0.0455, 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: 0.1023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9465, 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: 0.9508, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 135.9402, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7274, mean_absolute_error: 0.0384, 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: 0.0864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3447, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.7839, mean_absolute_error: 0.035, 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: 0.0788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3185, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1915, mean_absolute_error: 0.0371, 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: 0.0835, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3256, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9603, kappa: 0.94, kb_relative_information_score: 138.4582, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.961, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3551, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.7577, mean_absolute_error: 0.0461, 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: 0.1037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3889, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, 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: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, 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: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, 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: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, 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: 1363.8301,

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