OpenML
Supervised Classification on iris

Supervised Classification on iris

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

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0079, build_memory: 185358570.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.3068, mean_absolute_error: 0.0854, 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: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3623, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 224317577.6, 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: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 0.0006, build_memory: 238915074.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 81.6597, mean_absolute_error: 0.2525, 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: 0.5681, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6393, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 0.0478, build_memory: 359529832.8, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 121.216, mean_absolute_error: 0.1103, 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: 0.2483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3902, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, build_cpu_time: 0.0042, build_memory: 483201500, f_measure: 0.9337, kappa: 0.9, kb_relative_information_score: 135.3386, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9346, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4072, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 0.0005, build_memory: 67656198.4, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.5813, mean_absolute_error: 0.0591, 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: 0.133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0004, build_memory: 82505040, f_measure: 0.1667, kb_relative_information_score: 13.093, 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: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, build_cpu_time: 0.0633, build_memory: 269389043.2, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4337, mean_absolute_error: 0.0612, 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: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3779, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0006, build_memory: 71931612.8, 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: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.0135, build_memory: 99091717.6, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 136.0991, mean_absolute_error: 0.0458, 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: 0.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4287, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 0.0067, build_memory: 130912907.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 129.909, mean_absolute_error: 0.0801, 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: 0.1802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3405, scimark_benchmark: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 180383752, 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: 1693.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 0.0027, build_memory: 483967074.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1874, mean_absolute_error: 0.0392, 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: 0.0881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.377, scimark_benchmark: 1704.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, build_cpu_time: 0.0063, build_memory: 564303324.8, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1914, mean_absolute_error: 0.0393, 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: 0.0885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3962, scimark_benchmark: 1704.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.028, build_memory: 190041916, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.7736, mean_absolute_error: 0.0398, 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: 0.0895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4114, scimark_benchmark: 1704.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 0.0203, build_memory: 236021509.6, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 135.7807, mean_absolute_error: 0.0462, 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: 0.1041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393, scimark_benchmark: 1704.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 0.039, build_memory: 225032642.4, f_measure: 0.9125, kappa: 0.87, kb_relative_information_score: 131.7863, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9125, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5123, scimark_benchmark: 1704.0511,
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,
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: 0.9786, 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: 0.9789, 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: 0.9753, 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: 0.9893, 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: 0.9893, 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: 0.9924, 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: 0.9833, 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: 0.9822, 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: 0.9843, 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: 0.9829, 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: 0.9742, 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: 0.9836, 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: 0.9836, 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: 0.9981, 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: 0.9949, build_cpu_time: 0.2973, build_memory: 314615048, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.7579, mean_absolute_error: 0.0238, 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: 0.0535, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3032, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.2141, build_memory: 386283632.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.6161, mean_absolute_error: 0.0243, 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: 0.0548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3162, 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,
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: 0.9665, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0014, build_memory: 258232028, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, build_cpu_time: 0.0027, build_memory: 297498224, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1552.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.0102, build_memory: 291408020, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.0526, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3688, scimark_benchmark: 1552.123,
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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,
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: 0.9783, 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: 0.9923, 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: 0.9969, 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: 0.9974, 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: 0.9974, 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: 0.9979, 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: 0.9988, 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: 0.9984, 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: 0.9985, 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: 0.9987, 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: 0.1145, 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: 0.9971, 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: 0.9971, 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: 0.9973, 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,

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