OpenML
Supervised Classification on fishcatch

Supervised Classification on fishcatch

Task 3719 Supervised Classification fishcatch 463 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 135.6453, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3316, scimark_benchmark: 1341.5795, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9309, kappa: 0.8575, kb_relative_information_score: 132.1364, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9351, predictive_accuracy: 0.9304, prior_entropy: 0.971, recall: 0.9304, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4177, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9874, kappa: 0.9737, kb_relative_information_score: 146.2973, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9877, predictive_accuracy: 0.9873, prior_entropy: 0.971, recall: 0.9873, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2494, scimark_benchmark: 1314.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 133.0437, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4766, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1315.933, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 149.3696, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2508, scimark_benchmark: 1323.7742, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9245, kappa: 0.8441, kb_relative_information_score: 131.17, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9277, predictive_accuracy: 0.9241, prior_entropy: 0.971, recall: 0.9241, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4217, scimark_benchmark: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.981, kappa: 0.9605, kb_relative_information_score: 148.1493, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 0.971, recall: 0.981, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2752, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9874, kappa: 0.9737, kb_relative_information_score: 139.3821, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9877, predictive_accuracy: 0.9873, prior_entropy: 0.971, recall: 0.9873, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2856, scimark_benchmark: 1342.4239, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 143.4561, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4087, scimark_benchmark: 1346.8749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 132.1277, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4396, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.937, kappa: 0.8694, kb_relative_information_score: 133.9449, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9385, predictive_accuracy: 0.9367, prior_entropy: 0.971, recall: 0.9367, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5038, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 129.1873, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4264, scimark_benchmark: 1345.3152, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9559, kappa: 0.9088, kb_relative_information_score: 143.0361, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9581, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4299, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.962, kappa: 0.9208, kb_relative_information_score: 146.2635, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2757, scimark_benchmark: 1353.2625, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 139.3401, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3419, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.4649, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4868, scimark_benchmark: 1343.6648,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9559, kappa: 0.9088, kb_relative_information_score: 142.7547, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9581, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3966, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9559, kappa: 0.9088, kb_relative_information_score: 143.4359, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9581, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3665, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9059, kappa: 0.8067, kb_relative_information_score: 128.0344, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9126, predictive_accuracy: 0.9051, prior_entropy: 0.971, recall: 0.9051, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.4617, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9432, kappa: 0.8821, kb_relative_information_score: 132.3028, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.443, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9748, kappa: 0.9478, kb_relative_information_score: 149.3975, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9762, predictive_accuracy: 0.9747, prior_entropy: 0.971, recall: 0.9747, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.325, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4515, kb_relative_information_score: 24.2885, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2896, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 138.7951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4874, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9874, kappa: 0.9737, kb_relative_information_score: 139.3821, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9877, predictive_accuracy: 0.9873, prior_entropy: 0.971, recall: 0.9873, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2856, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7947, kappa: 0.5684, kb_relative_information_score: 90.0237, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.7963, predictive_accuracy: 0.7975, prior_entropy: 0.971, recall: 0.7975, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9191, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9622, kappa: 0.9216, kb_relative_information_score: 135.6453, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9636, predictive_accuracy: 0.962, prior_entropy: 0.971, recall: 0.962, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3316, scimark_benchmark: 1028.5889, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.918, kappa: 0.8298, kb_relative_information_score: 128.6833, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.919, predictive_accuracy: 0.9177, prior_entropy: 0.971, recall: 0.9177, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5648, scimark_benchmark: 1350.9691, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 139.1779, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3539, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 143.0361, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4299, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9497, kappa: 0.8961, kb_relative_information_score: 131.141, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9528, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4403, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9434, kappa: 0.8828, kb_relative_information_score: 134.5741, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9456, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4753, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9496, kappa: 0.8955, kb_relative_information_score: 140.9156, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4596, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.846, kappa: 0.6765, kb_relative_information_score: 109.1082, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.8828, predictive_accuracy: 0.8544, prior_entropy: 0.971, recall: 0.8544, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7792, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9685, kappa: 0.9345, kb_relative_information_score: 142.4277, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9693, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3807, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9498, kappa: 0.8966, kb_relative_information_score: 140.9156, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9551, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4596, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8987, kappa: 0.7888, kb_relative_information_score: 123.9516, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.8987, predictive_accuracy: 0.8987, prior_entropy: 0.971, recall: 0.8987, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6499, scimark_benchmark: 1353.5686,

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