OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 234 Supervised Classification labor 336 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 1296.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 13.7989, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5811, scimark_benchmark: 1314.2279, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 1350.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 13.7989, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5811, scimark_benchmark: 1360.6367, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 6.8844, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8387, scimark_benchmark: 1337.3179, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 12.1198, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6674, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 1348.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 1299.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 12.81, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6962, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 6.8844, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8387, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.7557, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5161, scimark_benchmark: 1320.9387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 12.81, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6962, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8349, kappa: 0.6582, kb_relative_information_score: 11.8988, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8417, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7072, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 12.81, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6962, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 1123.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 7.657, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8863, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.1954, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8458, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9435, kappa: 0.88, kb_relative_information_score: 14.1992, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9491, predictive_accuracy: 0.9444, prior_entropy: 0.9393, recall: 0.9444, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5265, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 6.8844, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8387, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.2114, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8482, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 13.4284, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6347, scimark_benchmark: 1356.6978, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8206, kappa: 0.6197, kb_relative_information_score: 9.6632, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.869, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7014, scimark_benchmark: 961.21, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 9.3192, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9532, scimark_benchmark: 1360.1753, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 13.2303, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6935, scimark_benchmark: 1319.4881, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8349, kappa: 0.6747, kb_relative_information_score: 11.2978, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8833, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8164, scimark_benchmark: 1331.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4636, kb_relative_information_score: 0.1365, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0024, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 0.8686, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9198, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.7302, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0084, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 8.3383, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9978, scimark_benchmark: 765.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 11.108, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5959, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9435, kappa: 0.88, kb_relative_information_score: 12.3727, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9491, predictive_accuracy: 0.9444, prior_entropy: 0.9393, recall: 0.9444, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5355, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8305, kappa: 0.64, kb_relative_information_score: 11.753, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9393, recall: 0.8333, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8355, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4636, kb_relative_information_score: 2.7031, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6236, root_relative_squared_error: 1.2763, scimark_benchmark: 1297.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 13.6598, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6449, scimark_benchmark: 895.5332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 14.0154, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6822, scimark_benchmark: 916.9356, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8889, kappa: 0.7662, kb_relative_information_score: 12.7557, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5161, scimark_benchmark: 1304.6687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8903, kappa: 0.7778, kb_relative_information_score: 13.7989, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.9136, predictive_accuracy: 0.8889, prior_entropy: 0.9393, recall: 0.8889, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5811, scimark_benchmark: 1310.3951, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.5814, kappa: 0.1127, kb_relative_information_score: 6.8844, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.5873, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8387, scimark_benchmark: 1346.9602, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6528, kappa: 0.2603, kb_relative_information_score: 5.0823, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.6564, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5598, root_relative_squared_error: 1.1457, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7249, kappa: 0.4304, kb_relative_information_score: 7.1605, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7319, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0419, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 9.4107, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9528, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7685, kappa: 0.5068, kb_relative_information_score: 9.4905, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7812, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9648, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6542, kappa: 0.3933, kb_relative_information_score: 4.9655, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.8205, predictive_accuracy: 0.6667, prior_entropy: 0.9393, recall: 0.6667, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1816, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 6.5531, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9622, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 7.228, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0787, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7778, kappa: 0.5325, kb_relative_information_score: 9.4905, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9393, recall: 0.7778, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9648, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4636, kb_relative_information_score: 0.1365, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.3735, predictive_accuracy: 0.6111, prior_entropy: 0.9393, recall: 0.6111, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0024, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7176, kappa: 0.4, kb_relative_information_score: 5.8181, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.468, number_of_instances: 18, precision: 0.7176, predictive_accuracy: 0.7222, prior_entropy: 0.9393, recall: 0.7222, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.0017, scimark_benchmark: 1054.3694,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs