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: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, 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,
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: 0.9671, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, 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: 1.5, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 131.7477, mean_absolute_error: 0.0736, 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: 0.1656, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3081, scimark_benchmark: 1515.653, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 83.2129, mean_absolute_error: 0.2258, 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: 0.508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6515, scimark_benchmark: 1502.9935, usercpu_time_millis: 1020, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3928, mean_absolute_error: 0.0428, 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: 0.0964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3964, scimark_benchmark: 1479.2795, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, 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: 1479.2795, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8738, kappa: 0.81, kb_relative_information_score: 120.4992, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8747, predictive_accuracy: 0.8733, prior_entropy: 1.585, recall: 0.8733, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5473, scimark_benchmark: 1510.3517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, 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: 0.1894, root_relative_squared_error: 0.4017, scimark_benchmark: 1441.4685, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1785.5881,
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: 1785.5881,
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: 1581.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, 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: 1581.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, 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: 1581.6279, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
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, scimark_benchmark: 1581.6279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, 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: 1581.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 137.6786, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, 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: 1581.6279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4004, mean_absolute_error: 0.0312, 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: 0.0702, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3741, scimark_benchmark: 1581.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4647, mean_absolute_error: 0.0309, 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: 0.0695, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3714, scimark_benchmark: 1581.6279, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, 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: 1581.6279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, 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: 1581.6279, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, 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: 1581.6279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1639, mean_absolute_error: 0.038, 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: 0.0856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3174, scimark_benchmark: 1958.4135, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9126, kappa: 0.87, kb_relative_information_score: 111.7064, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9216, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4729, scimark_benchmark: 1925.6701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4263, mean_absolute_error: 0.0356, 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: 0.0801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3259, scimark_benchmark: 2029.5452, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, 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: 1967.2734, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9126, kappa: 0.87, kb_relative_information_score: 111.7064, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9216, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4729, scimark_benchmark: 1927.9877, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9126, kappa: 0.87, kb_relative_information_score: 111.7064, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9216, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4729, scimark_benchmark: 1964.6397, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9126, kappa: 0.87, kb_relative_information_score: 111.7064, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9216, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4729, scimark_benchmark: 1979.6709, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 116.4231, mean_absolute_error: 0.1334, 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: 0.3002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4237, scimark_benchmark: 1913.1069, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.6935, mean_absolute_error: 0.0579, 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: 0.1303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4117, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4165, mean_absolute_error: 0.0378, 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: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4062, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5304, mean_absolute_error: 0.0458, 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: 0.1031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3315, scimark_benchmark: 1913.1069, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 118.8657, mean_absolute_error: 0.1229, 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: 0.2765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4125, scimark_benchmark: 1913.1069, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 142.2958, mean_absolute_error: 0.0254, 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: 0.0572, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 1976.5445, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 138.6784, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, 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: 0.1857, root_relative_squared_error: 0.394, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 143.8387, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.29, scimark_benchmark: 1976.5445, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.5755, mean_absolute_error: 0.044, 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: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.343, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.7805, mean_absolute_error: 0.0346, 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: 0.0777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3128, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.9394, 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: 0.0964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3609, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.7185, mean_absolute_error: 0.0259, 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: 0.0583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, 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: 1976.5445, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, 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: 1976.5445, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.7771, mean_absolute_error: 0.0345, 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: 0.0777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3323, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7302, mean_absolute_error: 0.0275, 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: 0.0619, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 136.1724, mean_absolute_error: 0.0502, 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: 0.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3333, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, 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: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9204, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, scimark_benchmark: 1976.5445,
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: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, 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: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, usercpu_time_millis: 32.68, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 32.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.8851, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.2016, mean_absolute_error: 0.0373, 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: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3111,

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