We start the analysis of our experiments by comparing the results of all previously discussed metrics for all datasets.
The previously discussed metrics are very useful and can be considered as an achievement in establishment of prognostics specific performance metrics.
Also, the previously discussed metrics can be used for off-line prognostics algorithm evaluation, so there is a need for online prognostics algorithm evaluation where the ground truth data are not available.
Changes in performance, for better or worse, can be the result of strange luck fluctuations that can be identified through previously discussed metrics such as BABIP, strand rate, home run rate, walks, hard-hit rate surrendered, and so on.
Founded in 2013, Noel says it's too early to discuss growth metrics or customer numbers.
Along with this, we discuss which metrics are most appropriate for which scenarios in order to evaluate the models.
It will also discuss user metrics, such as active users, how many access the service from mobile devices and where on the planet they hail from.
In this section, we analyze and discuss these metrics for all the seven assemblers.
We also discuss distance metrics used to analyze amino acid sequences, such as the BLOSUM80 matrix for closely related sequences and the PAM250 matrix for more distant relationships.
