OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4581 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 1289.6995, usercpu_time_millis: 19.889, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 19.694,
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, scimark_benchmark: 1289.6995, usercpu_time_millis: 20.343, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 18.635,
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, scimark_benchmark: 1289.6995, usercpu_time_millis: 47.297, usercpu_time_millis_testing: 8.78, usercpu_time_millis_training: 38.517,
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: 1289.6995, usercpu_time_millis: 12.162, usercpu_time_millis_testing: 11.988, usercpu_time_millis_training: 0.174,
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: 1289.6995, usercpu_time_millis: 4.449, usercpu_time_millis_testing: 4.266, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3251, mean_absolute_error: 0.0382, 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: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2885, scimark_benchmark: 1289.6995, usercpu_time_millis: 2.325, usercpu_time_millis_testing: 2.187, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.8837, mean_absolute_error: 0.0416, 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: 0.0936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3161, scimark_benchmark: 1289.6995, usercpu_time_millis: 33.128, usercpu_time_millis_testing: 33.061, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.1549, mean_absolute_error: 0.1036, 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: 0.233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4827, scimark_benchmark: 1289.6995, usercpu_time_millis: 22.713, usercpu_time_millis_testing: 22.641, usercpu_time_millis_training: 0.072,
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: 1289.6995, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 3.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.9499, mean_absolute_error: 0.0418, 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: 0.094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3477, scimark_benchmark: 1289.6995, usercpu_time_millis: 5.905, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 5.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.8169, mean_absolute_error: 0.036, 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: 0.081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3323, scimark_benchmark: 1289.6995, usercpu_time_millis: 10.156, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 9.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.0138, mean_absolute_error: 0.0367, 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: 0.0826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3574, scimark_benchmark: 1289.6995, usercpu_time_millis: 16.879, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 16.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.4003, mean_absolute_error: 0.0345, 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: 0.0776, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3632, scimark_benchmark: 1289.6995, usercpu_time_millis: 44.824, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 43.801,
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: 1289.6995, usercpu_time_millis: 8.133, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 7.135,
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, scimark_benchmark: 1289.6995, usercpu_time_millis: 14.908, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 11.665,
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, scimark_benchmark: 1289.6995, usercpu_time_millis: 4.376, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 4.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, 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: 1289.6995, usercpu_time_millis: 6.668, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 6.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, 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: 1289.6995, usercpu_time_millis: 12.912, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 12.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, 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: 1289.6995, usercpu_time_millis: 33.559, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 31.408,
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: 1289.6995, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, 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: 1289.6995, usercpu_time_millis: 52.268, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 51.508,
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: 1289.6995, usercpu_time_millis: 39.185, usercpu_time_millis_testing: 33.017, usercpu_time_millis_training: 6.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 1289.6995, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, 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: 1289.6995, usercpu_time_millis: 6.36, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 5.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, 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: 1289.6995, usercpu_time_millis: 6.092, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 5.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, 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: 1289.6995, usercpu_time_millis: 12.695, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 12.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, 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: 1289.6995, usercpu_time_millis: 35.34, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 34.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, 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: 1289.6995, usercpu_time_millis: 39.416, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 39.154,
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: 1289.6995, usercpu_time_millis: 1.714, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.623,
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, scimark_benchmark: 1289.6995, usercpu_time_millis: 3.035, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, 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: 1289.6995, usercpu_time_millis: 6.084, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 5.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, 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: 1289.6995, usercpu_time_millis: 11.833, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 11.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, 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: 1289.6995, usercpu_time_millis: 38.758, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 37.813,
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: 1289.6995, usercpu_time_millis: 0.577, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, 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: 1289.6995, usercpu_time_millis: 4, usercpu_time_millis_testing: 1.774, usercpu_time_millis_training: 2.226,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.5743, mean_absolute_error: 0.0481, 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: 0.1082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3654, scimark_benchmark: 1289.6995, usercpu_time_millis: 6.27, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 5.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 137.4407, mean_absolute_error: 0.042, 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: 0.0946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4022, scimark_benchmark: 1289.6995, usercpu_time_millis: 9.118, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 8.504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8921, kappa: 0.84, kb_relative_information_score: 128.0949, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5657, scimark_benchmark: 1289.6995, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 135.2985, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.415, scimark_benchmark: 1289.6995, usercpu_time_millis: 6.593, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 6.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, 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: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, 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: 939.7623, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, 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: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, 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: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, 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: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1358.4955,
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, scimark_benchmark: 876.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, 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: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, 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: 926.6717, 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: 1574.311, usercpu_time_millis: 1.992, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 1574.311, usercpu_time_millis: 9.32, usercpu_time_millis_testing: 6.189, usercpu_time_millis_training: 3.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.4091, mean_absolute_error: 0.0439, 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: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3436, scimark_benchmark: 1574.311, usercpu_time_millis: 6.132, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 1.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, 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: 1574.311, usercpu_time_millis: 5.792, usercpu_time_millis_testing: 3.267, usercpu_time_millis_training: 2.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, 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: 1574.311, usercpu_time_millis: 9.205, usercpu_time_millis_testing: 8.371, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1574.311, usercpu_time_millis: 13.935, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 12.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1574.311, usercpu_time_millis: 27.362, usercpu_time_millis_testing: 7.366, usercpu_time_millis_training: 19.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, 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: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, 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: 942.1229, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 938.9865,
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, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, 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: 876.8277, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, 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: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, 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: 940.2922, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, 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: 942.6953, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, 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: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, 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: 933.8635, 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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, 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: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 140.5983, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2714, scimark_benchmark: 944.5495, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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