classification_metrics: calculate measures for classification performance
In RJ333/phyloseq2ML: Connects Phyloseq To Ranger And Keras

This function calculates a bunch of classification performance metrics to help evaluate the quality of the classification. For more info onto the calculated values see e.g. [Binary Classification Metrics](https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers)

classification_metrics(
  result_table,
  Number_of_samples = result_table$Number_of_samples
)

`result_table`	the result table generated by a store_*()
`Number_of_samples`	the results table column with the number of samples to calculate metrics. The default works for ranger classification. It has to be overwritten by the number of validation samples for keras neural networks

the result_table with additional metrics

RJ333/phyloseq2ML documentation built on June 2, 2020, 9:25 p.m.