Exact(3)
For these datasets, standard classifiers were applied first (no misclassification costs) and if there was less than a 20% False Positive rate then cost-sensitive classifiers were used.
While readily available and easy to apply to AS datasets, standard clustering methods such as hierarchical agglomerative clustering and K-means clustering, suffer from several drawbacks.
After the missing cases are completed by several sets of plausible values to create multiple completed datasets, standard complete-data procedures are applied to each completed dataset, and finally the multiple sets of results are combined to yield a single inference.
Similar(57)
In order to establish quality criteria and allow comparisons across independent datasets, standards for microarray experiments and data analysis were created [ 2].
CNVineta was designed to allow researchers to access large datasets from standard desktop computers.
Finally, in both datasets the standard deviation (SD) for each probe has been calculated.
High-resolution EPI scans were acquired to facilitate registration of individual fMRI datasets to standard space.
Parameter estimates were averaged across the 20 imputed datasets and standard errors computed according to the "Rubin rules" [ 44].
However, it may be the only option in analyzing datasets where standard deviation of background signal is not given.
For both datasets, the standard deviation of the theta estimates was set to 1.0 in order to identify the model.
Data were managed with the QDS Warehouse system, which aggregates collected data into one dataset and can be used to export datasets to standard statistical packages.
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