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Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more. The Micro version is meant for quick experimentation. It only contains 20 classes per…
29 datasets, 29 tasks, 0 flows, 0 runs
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, kappa: 0.4905, kb_relative_information_score: 0.44, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6748, number_of_instances: 452, predictive_accuracy: 0.6748, prior_entropy: 2.4124, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, kappa: 0.3883, kb_relative_information_score: 0.3962, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6217, number_of_instances: 452, predictive_accuracy: 0.6217, prior_entropy: 2.4124, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, kappa: 0.4436, kb_relative_information_score: 0.4448, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6305, number_of_instances: 452, predictive_accuracy: 0.6305, prior_entropy: 2.4124, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, kappa: 0.4687, kb_relative_information_score: 0.4718, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6527, number_of_instances: 452, predictive_accuracy: 0.6527, prior_entropy: 2.4124, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8796, kappa: 0.7327, kb_relative_information_score: 0.5965, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, weighted_recall: 0.8816, number_of_instances: 19020, precision: 0.8814, predictive_accuracy: 0.8816, prior_entropy: 0.9355, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6267, unweighted_recall: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, weighted_recall: 0.9959, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1252, unweighted_recall: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.5895, kappa: 0.3963, kb_relative_information_score: 0.4104, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6018, number_of_instances: 452, precision: 0.5785, predictive_accuracy: 0.6018, prior_entropy: 2.4124, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2108, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6073, kappa: 0.4192, kb_relative_information_score: 0.4248, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6084, number_of_instances: 452, precision: 0.6099, predictive_accuracy: 0.6084, prior_entropy: 2.4124, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2165, root_relative_squared_error: 1.0536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.6301, kappa: 0.4485, kb_relative_information_score: 0.4587, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6394, number_of_instances: 452, precision: 0.6304, predictive_accuracy: 0.6394, prior_entropy: 2.4124, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7163, kappa: 0.3691, kb_relative_information_score: 0.3573, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7201, number_of_instances: 768, precision: 0.7144, predictive_accuracy: 0.7201, prior_entropy: 0.9331, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0785, unweighted_recall: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8746, kappa: 0.8691, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, weighted_recall: 0.8742, number_of_instances: 20000, precision: 0.876, predictive_accuracy: 0.8742, prior_entropy: 4.6998, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4702, unweighted_recall: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6195, kappa: 0.436, kb_relative_information_score: 0.4212, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0855, weighted_recall: 0.615, number_of_instances: 452, precision: 0.6251, predictive_accuracy: 0.615, prior_entropy: 2.4124, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8746, kappa: 0.8691, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, weighted_recall: 0.8742, number_of_instances: 20000, precision: 0.876, predictive_accuracy: 0.8742, prior_entropy: 4.6998, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4702, unweighted_recall: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8817, kappa: 0.8769, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.8816, number_of_instances: 20000, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 4.6998, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.4963, unweighted_recall: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.5895, kappa: 0.3963, kb_relative_information_score: 0.4104, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6018, number_of_instances: 452, precision: 0.5785, predictive_accuracy: 0.6018, prior_entropy: 2.4124, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2108, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6516, kappa: 0.6144, kb_relative_information_score: 0.6457, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, weighted_recall: 0.653, number_of_instances: 2000, precision: 0.6511, predictive_accuracy: 0.653, prior_entropy: 3.3219, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.8659, unweighted_recall: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7758, kappa: 0.5784, kb_relative_information_score: 0.5436, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2677, weighted_recall: 0.777, number_of_instances: 148, precision: 0.7754, predictive_accuracy: 0.777, prior_entropy: 1.2302, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9174, unweighted_recall: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9933, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.1915, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.5915, kappa: 0.3995, kb_relative_information_score: 0.4135, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0855, weighted_recall: 0.604, number_of_instances: 452, precision: 0.5802, predictive_accuracy: 0.604, prior_entropy: 2.4124, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2103, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9853, kappa: 0.9638, kb_relative_information_score: 0.9658, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9855, number_of_instances: 898, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.1915, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.5915, kappa: 0.3995, kb_relative_information_score: 0.4135, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0855, weighted_recall: 0.604, number_of_instances: 452, precision: 0.5802, predictive_accuracy: 0.604, prior_entropy: 2.4124, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2103, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, kappa: 0.4367, kb_relative_information_score: 0.4291, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6195, number_of_instances: 452, predictive_accuracy: 0.6195, prior_entropy: 2.4124, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2126, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8785, kappa: 0.7304, kb_relative_information_score: 0.5968, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8805, number_of_instances: 19020, precision: 0.8802, predictive_accuracy: 0.8805, prior_entropy: 0.9355, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6274, unweighted_recall: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6097, kappa: 0.4234, kb_relative_information_score: 0.4295, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6106, number_of_instances: 452, precision: 0.6127, predictive_accuracy: 0.6106, prior_entropy: 2.4124, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2159, root_relative_squared_error: 1.0505,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 0.9765, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9933, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.1915, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.6253, kappa: 0.4432, kb_relative_information_score: 0.4308, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6217, number_of_instances: 452, precision: 0.6293, predictive_accuracy: 0.6217, prior_entropy: 2.4124, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2175, root_relative_squared_error: 1.0582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, kappa: 0.4519, kb_relative_information_score: 0.4541, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6372, number_of_instances: 452, predictive_accuracy: 0.6372, prior_entropy: 2.4124, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9553,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, weighted_recall: 0.9759, number_of_instances: 3196, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.9986, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2601, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 0.9338, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.499, weighted_recall: 0.9759, number_of_instances: 3196, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9986, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2695, unweighted_recall: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 0.9319, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.499, weighted_recall: 0.975, number_of_instances: 3196, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9986, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2736, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9759, kappa: 0.9517, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, weighted_recall: 0.9759, number_of_instances: 3196, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.9986, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2601, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 0.9563, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.499, weighted_recall: 0.9806, number_of_instances: 3196, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9986, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2228, unweighted_recall: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 0.9563, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.499, weighted_recall: 0.9806, number_of_instances: 3196, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9986, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2228, unweighted_recall: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, kappa: 0.4882, kb_relative_information_score: 0.4817, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6681, number_of_instances: 452, predictive_accuracy: 0.6681, prior_entropy: 2.4124, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, kappa: 0.4686, kb_relative_information_score: 0.4534, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6504, number_of_instances: 452, predictive_accuracy: 0.6504, prior_entropy: 2.4124, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.194, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, kappa: 0.5159, kb_relative_information_score: 0.4467, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6792, number_of_instances: 452, predictive_accuracy: 0.6792, prior_entropy: 2.4124, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, kappa: 0.4565, kb_relative_information_score: 0.455, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6482, number_of_instances: 452, predictive_accuracy: 0.6482, prior_entropy: 2.4124, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, kappa: 0.4741, kb_relative_information_score: 0.4352, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6637, number_of_instances: 452, predictive_accuracy: 0.6637, prior_entropy: 2.4124, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, kappa: 0.4874, kb_relative_information_score: 0.4915, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6704, number_of_instances: 452, predictive_accuracy: 0.6704, prior_entropy: 2.4124, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, kappa: 0.4935, kb_relative_information_score: 0.4903, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6726, number_of_instances: 452, predictive_accuracy: 0.6726, prior_entropy: 2.4124, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, kappa: 0.5093, kb_relative_information_score: 0.499, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6814, number_of_instances: 452, predictive_accuracy: 0.6814, prior_entropy: 2.4124, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.8679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, kappa: 0.4712, kb_relative_information_score: 0.4804, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0855, weighted_recall: 0.6615, number_of_instances: 452, predictive_accuracy: 0.6615, prior_entropy: 2.4124, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.9016,
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
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4998 instances - 141 features - 0 classes - 0 missing values
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
0 runs0 likes0 downloads0 reach0 impact
4998 instances - 141 features - 0 classes - 0 missing values
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1 datasets, 1 tasks, 0 flows, 0 runs
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1 datasets, 1 tasks, 0 flows, 0 runs
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1 datasets, 1 tasks, 0 flows, 0 runs
Subsampling of the dataset KDDCup09-Upselling (43072) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 9426 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 5914 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 7121 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 3570 missing values
Subsampling of the dataset porto-seguro (42742) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
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2000 instances - 58 features - 2 classes - 2837 missing values
Subsampling of the dataset porto-seguro (42742) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 58 features - 2 classes - 2863 missing values
Subsampling of the dataset porto-seguro (42742) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 58 features - 2 classes - 2855 missing values
Subsampling of the dataset porto-seguro (42742) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 58 features - 2 classes - 2775 missing values
Subsampling of the dataset porto-seguro (42742) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 58 features - 2 classes - 2846 missing values
Subsampling of the dataset KDDCup99 (42746) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 42 features - 8 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 42 features - 8 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 42 features - 8 classes - 0 missing values