OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4584 Runs

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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: 1858.5835,
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,
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,
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: 1762.448,
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: 1762.448,
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: 1762.448,
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: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, 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: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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: 1762.448,
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: 1762.448,
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: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7633, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.8295, mean_absolute_error: 0.0391, 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: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.6606, mean_absolute_error: 0.0289, 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: 0.065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.9555, mean_absolute_error: 0.0387, 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: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.051, mean_absolute_error: 0.0378, 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: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.2986, mean_absolute_error: 0.0404, 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: 0.091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.7451, mean_absolute_error: 0.0364, 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: 0.082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.4833, mean_absolute_error: 0.0404, 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: 0.091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3209,
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,
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,
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,
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, usercpu_time_millis: 0.77, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.72,
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, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.9,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.5422, mean_absolute_error: 0.0396, 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: 0.089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3289,
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, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.95,
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, usercpu_time_millis: 0.494, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.466,
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, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.546,
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,
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: 0.9969, 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: 0.9834, 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: 0.9891, 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: 0.9907, 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: 0.9867, 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: 0.9822, 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: 0.9665, 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: 0.9681, 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: 0.9821, 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: 0.9642, 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: 0.955, 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: 0.9783, 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: 0.959, 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: 0.9678, 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: 0.5, 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: 0.5, 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: 0.9513, 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: 0.9817, 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: 0.9672, 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: 0.9491, 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: 0.9787, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1843, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.3257, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3628, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1084, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6099, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3459, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.9559, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5965, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.9574, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2112, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.2472, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1654, mean_absolute_error: 0.0615, 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: 0.1383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 129.1976, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 127.1725, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, 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: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1656, kb_relative_information_score: -0.0535, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.6554, kappa: 0.57, kb_relative_information_score: 86.6705, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8091, predictive_accuracy: 0.7133, prior_entropy: 1.585, recall: 0.7133, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.6362, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.3015, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 124.066, mean_absolute_error: 0.0971, 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: 0.2185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.4665, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.7267, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.7526, mean_absolute_error: 0.0674, 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: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3947,

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