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OpenML
OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
0 likes downloaded by 31 people , 58 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, 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: 1324.2796,
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: 947.1212,
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: 1363.8301,
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: 1363.8301,
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: 1363.8301,
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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 137.011, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9477, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3784, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.2915, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3903, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9603, kappa: 0.94, kb_relative_information_score: 138.4582, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.961, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3551, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 86.9612, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 86.9612, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8116, kappa: 0.71, kb_relative_information_score: 72.4972, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8359, predictive_accuracy: 0.8067, prior_entropy: 1.585, recall: 0.8067, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.763, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.5711, kappa: 0.36, kb_relative_information_score: 48.5693, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5821, predictive_accuracy: 0.5733, prior_entropy: 1.585, recall: 0.5733, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8969, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7028, kappa: 0.57, kb_relative_information_score: 63.2477, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7467, predictive_accuracy: 0.7133, prior_entropy: 1.585, recall: 0.7133, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8014, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 91.4849, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6055, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 89.5921, mean_absolute_error: 0.2341, 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: 0.5267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8565, kappa: 0.79, kb_relative_information_score: 77.4972, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8658, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6992, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8474, kappa: 0.78, kb_relative_information_score: 80.7591, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8605, predictive_accuracy: 0.8533, prior_entropy: 1.585, recall: 0.8533, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6864, scimark_benchmark: 1363.8301,
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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8385, kappa: 0.76, kb_relative_information_score: 79.1281, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.858, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1363.8301,
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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: 1363.8301,
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: 1363.8301,
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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, 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: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.9065, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3922, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.7577, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3889, scimark_benchmark: 1363.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9406, kappa: 0.91, kb_relative_information_score: 132.9767, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9434, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124, scimark_benchmark: 1363.8301,

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