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ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, kappa: 0.1106, kb_relative_information_score: 0.2861, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, weighted_recall: 0.1995, number_of_instances: 2000, predictive_accuracy: 0.1995, prior_entropy: 3.3219, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, unweighted_recall: 0.1995,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 0.7085, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9142, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9293, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798, unweighted_recall: 0.907,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, weighted_recall: 0.191, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558, unweighted_recall: 0.191,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1, kb_relative_information_score: 0.1215, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, weighted_recall: 0.19, number_of_instances: 2000, predictive_accuracy: 0.19, prior_entropy: 3.3219, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.9559, unweighted_recall: 0.19,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, kappa: 0.2285, kb_relative_information_score: 0.1077, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3798, weighted_recall: 0.584, number_of_instances: 625, predictive_accuracy: 0.584, prior_entropy: 1.3181, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9778, unweighted_recall: 0.4225,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kappa: 0.0326, kb_relative_information_score: 0.0575, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, weighted_recall: 0.0718, number_of_instances: 20000, predictive_accuracy: 0.0718, prior_entropy: 4.6998, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.9887, unweighted_recall: 0.0688,
ck kc 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... ses.DecisionTreeClassifier)(8) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 0.2118, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, weighted_recall: 0.6605, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, unweighted_recall: 0.675,
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier) (8)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) (7)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.impute._base.SimpleImputer (50)
Univariate imputer for completing missing values with simple strategies. Replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column, or using a…
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sklearn.preprocessing._encoders.OneHotEncoder (47)
Encode categorical features as a one-hot numeric array. The input to this transformer should be an array-like of integers or strings, denoting the values taken on by categorical (discrete) features.…
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sklearn.tree._classes.DecisionTreeClassifier (41)
A decision tree classifier.
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Bleichenbacher Attack Training Set - Timing Attacks Benchmark
This collection complements the Timing Attacks benchmark datasets and serves as a valuable training set for multi-class classification tasks or detecting information leakage in OpenSSL. For detailed…
87 datasets, 87 tasks, 0 flows, 0 runs
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-35-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-30-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-25-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-20-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-15-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-21
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-20
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-19
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-18
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-15
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-14
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-13
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-09
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-08
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-10-micro-seconds-delay-2022-09-04
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-256-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-256-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-256-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-128-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-128-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-128-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-64-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-64-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-64-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-32-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-32-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-32-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-16-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-16-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-16-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-8-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-8-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-8-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-4-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-4-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-4-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-2-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-2-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-2-micro-seconds-delay-2022-09-01
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-1-micro-seconds-delay-2022-09-17
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label
Supervised Classification on timing-attack-dataset-1-micro-seconds-delay-2022-09-12
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uploader_id : 2086 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : label