OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 270 Supervised Classification glass 325 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 1328.1857, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3195, kappa: 0.2922, kb_relative_information_score: 24.2288, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.2821, predictive_accuracy: 0.4571, prior_entropy: 2.2315, recall: 0.4571, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.2077, scimark_benchmark: 1261.7298, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5034, kappa: 0.3381, kb_relative_information_score: 26.38, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.1082, scimark_benchmark: 1380.2233, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 1354.3488, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7123, kappa: 0.6082, kb_relative_information_score: 43.1275, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7281, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8253, scimark_benchmark: 1318.6149, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7486, kappa: 0.654, kb_relative_information_score: 43.4149, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7583, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7714, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.5511, kappa: 0.3883, kb_relative_information_score: 28.8751, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6145, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0683, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6075, kappa: 0.4799, kb_relative_information_score: 32.1202, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6277, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9232, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.6118, kappa: 0.481, kb_relative_information_score: 36.0552, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6089, predictive_accuracy: 0.6286, prior_entropy: 2.2315, recall: 0.6286, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8066, scimark_benchmark: 1326.8946, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.5992, kappa: 0.4938, kb_relative_information_score: 39.4752, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5815, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8547, scimark_benchmark: 1327.3602, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.559, kappa: 0.442, kb_relative_information_score: 31.726, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5237, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.7928, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.6655, kappa: 0.5417, kb_relative_information_score: 38.9805, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7017, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8173, scimark_benchmark: 1349.9741, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6633, kappa: 0.5446, kb_relative_information_score: 39.3604, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6946, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.9386, scimark_benchmark: 1299.9482, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6633, kappa: 0.5446, kb_relative_information_score: 40.4631, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6946, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 996.6105, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5505, kappa: 0.4128, kb_relative_information_score: 30.1233, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.55, predictive_accuracy: 0.5857, prior_entropy: 2.2315, recall: 0.5857, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.344, root_relative_squared_error: 1.055, scimark_benchmark: 1339.4964, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.5794, kappa: 0.444, kb_relative_information_score: 24.6342, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6465, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9143, scimark_benchmark: 1301.2156, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.5904, kappa: 0.5025, kb_relative_information_score: 32.7232, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5412, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.7834, scimark_benchmark: 1311.9814, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.6545, kappa: 0.5274, kb_relative_information_score: 39.8543, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6753, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.9081, scimark_benchmark: 898.1296, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6685, kappa: 0.5471, kb_relative_information_score: 40.8442, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6891, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.888, scimark_benchmark: 1316.8289, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.6585, kappa: 0.5481, kb_relative_information_score: 37.1173, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7684, scimark_benchmark: 1270.2428, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.6323, kappa: 0.5183, kb_relative_information_score: 37.4925, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6914, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7706, scimark_benchmark: 1322.7383, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.6618, kappa: 0.5821, kb_relative_information_score: 35.4368, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6696, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8017, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 840.2506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 1309.3173, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1301.9956, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7386, kappa: 0.6601, kb_relative_information_score: 49.3806, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7719, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.8312, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.5105, kappa: 0.3715, kb_relative_information_score: 27.0584, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4942, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.9656, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6494, kappa: 0.5291, kb_relative_information_score: 36.2239, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.71, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9099, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.743, kappa: 0.6621, kb_relative_information_score: 46.2657, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7813, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8078, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1385, kb_relative_information_score: 6.7861, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.09, predictive_accuracy: 0.3, prior_entropy: 2.2315, recall: 0.3, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3714, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.6288, kappa: 0.5048, kb_relative_information_score: 37.3268, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6597, predictive_accuracy: 0.6286, prior_entropy: 2.2315, recall: 0.6286, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.9488, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5059, kappa: 0.4005, kb_relative_information_score: 27.9346, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.492, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.073, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.5543, kappa: 0.4, kb_relative_information_score: 31.4891, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5595, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.073, scimark_benchmark: 977.6382, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.5753, kappa: 0.4048, kb_relative_information_score: 31.8804, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6116, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.005, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.228, build_memory: 240130944, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.177, build_memory: 2795701520, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.192, build_memory: 1543473672, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.2, build_memory: 1991971200, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.2, build_memory: 476813744, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.017, build_memory: 508390344, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.019, build_memory: 418286760, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.012, build_memory: 100094872, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.016, build_memory: 45849944, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.017, build_memory: 1954592000, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 915.3856,

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