OpenML
Supervised Classification on aids

Supervised Classification on aids

Task 3503 Supervised Classification aids 498 runs submitted
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  • study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.6779, kappa: 0.36, kb_relative_information_score: 16.0805, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6847, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6604, kappa: 0.36, kb_relative_information_score: 6.4325, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7339, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.465, root_relative_squared_error: 0.93, scimark_benchmark: 1345.7919, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1337.3179, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1342.3029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 1347.5461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7997, kappa: 0.6, kb_relative_information_score: 28.6666, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364, scimark_benchmark: 1319.3406, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5398, kappa: 0.08, kb_relative_information_score: 1.6143, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5401, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0241, scimark_benchmark: 1392.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.08, kappa: -0.84, kb_relative_information_score: -40.6968, mean_absolute_error: 0.9021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.08, predictive_accuracy: 0.08, prior_entropy: 1, recall: 0.08, relative_absolute_error: 1.8043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9388, root_relative_squared_error: 1.8776, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4088, f_measure: 0.4179, kappa: -0.16, kb_relative_information_score: 2.0284, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4188, predictive_accuracy: 0.42, prior_entropy: 1, recall: 0.42, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0211, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.5703, kappa: 0.24, kb_relative_information_score: 1.3485, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7232, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9817, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.6354, kappa: 0.32, kb_relative_information_score: 10.6263, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7193, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.0718, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6604, kappa: 0.36, kb_relative_information_score: 6.0192, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7339, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9284, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6753, kappa: 0.36, kb_relative_information_score: 6.7493, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.691, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9296, scimark_benchmark: 1330.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7585, kappa: 0.52, kb_relative_information_score: 21.14, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7668, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8316, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7348, kappa: 0.48, kb_relative_information_score: 18.4846, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7604, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218, scimark_benchmark: 938.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 2.5424, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9911, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.6264, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.75, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9302, scimark_benchmark: 869.6028,

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