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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
Issue #Downvotes for this reason By


Metric:

4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0106, build_memory: 291301458.4, 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: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 0.013, build_memory: 283385407.2, f_measure: 0.9666, 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: 0.9678, 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, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 0.0115, build_memory: 249652424.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 88.9612, mean_absolute_error: 0.2356, 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: 0.53, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6272, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 0.0172, build_memory: 200843436, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.0776, build_memory: 70101863.2, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 141.4606, mean_absolute_error: 0.0306, 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: 0.0688, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2806, scimark_benchmark: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.0782, build_memory: 95256496, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 141.7049, mean_absolute_error: 0.0305, 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: 0.0686, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2686, scimark_benchmark: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.0789, build_memory: 463464920, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.7606, 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: 0.0693, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2594, scimark_benchmark: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.078, build_memory: 448735304, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.22, mean_absolute_error: 0.0334, 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: 0.0752, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2551, scimark_benchmark: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.0785, build_memory: 433821740, 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: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.0931, build_memory: 417473187.2, 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, scimark_benchmark: 1690.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 0.0012, build_memory: 74377898.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 72.468, mean_absolute_error: 0.283, 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: 0.6368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.723, scimark_benchmark: 1705.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, build_cpu_time: 0.0057, build_memory: 59199664.8, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 137.8106, mean_absolute_error: 0.0428, 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: 0.0962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3702, scimark_benchmark: 1746.4733,
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,
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: 0.9714, 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: 0.9734, 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: 0.9717, 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: 0.9817, 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: 0.0076, 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: 0.9787, 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: 0.9752, 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: 0.9691, 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: 0.9769, build_cpu_time: 0.0079, build_memory: 271907786.4, f_measure: 0.9666, 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: 0.9678, 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, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 0.0083, build_memory: 221193878.4, f_measure: 0.9666, 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: 0.9678, 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, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 0.0148, build_memory: 292241133.6, 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: 0.98, build_cpu_time: 0.0115, build_memory: 272351928.8, 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, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0094, build_memory: 286354170.4, 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: 0.0086, build_memory: 331561858.4, 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: 0.9718, build_cpu_time: 0.0129, build_memory: 349101491.2, 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: 0.9534, 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: 0.9476, build_cpu_time: 0.0109, build_memory: 289366784.8, f_measure: 0.9085, kappa: 0.86, kb_relative_information_score: 84.6993, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9185, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6683, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.0114, build_memory: 285714793.6, 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: 0.9563, build_cpu_time: 0.0118, build_memory: 255763800.8, f_measure: 0.9213, kappa: 0.88, kb_relative_information_score: 86.3302, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.928, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6532, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.0801, build_memory: 193621207.2, 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: 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,
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: 0.9951, 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: 0.9672, 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: 0.75, 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: 0.983, 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: 0.9833, 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: 0.9783, 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: 0.9831, 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: 0.9784, 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: 0.0026, 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: 0.9716, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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: 0.9948, 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: 0.9976, 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: 0.9977, 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: 0.9979, 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: 0.9957, 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: 0.9951, 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: 0.9954, 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: 0.9928, 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: 0.9935, 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: 0.9854, 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,

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