OpenML
Supervised Classification on trains

Supervised Classification on trains

Task 51 Supervised Classification trains 693 runs submitted
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  • basic study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 3.4475, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8957, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.392, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.1375, scimark_benchmark: 1283.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.1667, kappa: -0.6, kb_relative_information_score: -1.3593, mean_absolute_error: 0.5547, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1429, predictive_accuracy: 0.2, prior_entropy: 1, recall: 0.2, relative_absolute_error: 1.1094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1219, scimark_benchmark: 1356.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.1667, kappa: -0.6, kb_relative_information_score: -1.9037, mean_absolute_error: 0.5762, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1429, predictive_accuracy: 0.2, prior_entropy: 1, recall: 0.2, relative_absolute_error: 1.1524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1715, scimark_benchmark: 1329.4192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.12, f_measure: 0.2308, kappa: -0.4, kb_relative_information_score: -1.9911, mean_absolute_error: 0.5803, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1875, predictive_accuracy: 0.3, prior_entropy: 1, recall: 0.3, relative_absolute_error: 1.1606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5935, root_relative_squared_error: 1.1871, scimark_benchmark: 1327.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.24, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -1.3636, mean_absolute_error: 0.5578, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1859, scimark_benchmark: 1345.1228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.8646, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0965, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.2929, kappa: -0.4, kb_relative_information_score: -1.1614, mean_absolute_error: 0.5454, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2917, predictive_accuracy: 0.3, prior_entropy: 1, recall: 0.3, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.0989, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.0909, kappa: -0.8, kb_relative_information_score: -1.4636, mean_absolute_error: 0.5559, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.0833, predictive_accuracy: 0.1, prior_entropy: 1, recall: 0.1, relative_absolute_error: 1.1118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.117, scimark_benchmark: 938.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.9019, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.6037, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1718, scimark_benchmark: 938.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.5298, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5853, root_relative_squared_error: 1.1705, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.9965, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.4949, kb_relative_information_score: 0.6891, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.321, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 0.7763, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9643, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 1.2736, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 916.5955,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.2261, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0541, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 0.4986, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0178, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.7466, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9792, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4949, kb_relative_information_score: 0.7146, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 1298.285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: 2.0358, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -6.608, mean_absolute_error: 0.8222, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.6444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8506, root_relative_squared_error: 1.7011, scimark_benchmark: 1327.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4.2881, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8057, scimark_benchmark: 942.1229, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 6, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.2553, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 945.6434,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0049, build_memory: 1165487122.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.5259, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0741, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0043, build_memory: 1965838921.6, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.5259, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0741, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0092, build_memory: 1156730689.6, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.5259, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0741, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, build_cpu_time: 0.0068, build_memory: 1451849608.8, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.5259, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0741, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, build_cpu_time: 0.0131, build_memory: 1110860530.4, f_measure: 0.4949, kb_relative_information_score: -0.7157, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, build_cpu_time: 0.0047, build_memory: 1000819473.6, f_measure: 0.4949, kb_relative_information_score: -0.7157, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, build_cpu_time: 0.0042, build_memory: 1159430851.2, f_measure: 0.4949, kb_relative_information_score: -0.7157, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.34, build_cpu_time: 0.0014, build_memory: 776460125.6, f_measure: 0.4949, kb_relative_information_score: -0.7159, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, build_cpu_time: 0.0009, build_memory: 1196078520, f_measure: 0.4505, kb_relative_information_score: -0.0755, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6727, root_relative_squared_error: 1.3454, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.001, build_memory: 1083561474.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0008, build_memory: 415904518.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 908.8705,

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