summarise_result {minSNPs} | R Documentation |
summarise_result
Description
summarise_result
calculate the MCC score given the SNP sets, training, validation and metadata(s).
Usage
summarise_result(
snp_sets,
training_seqs,
validation_seqs,
training_metadata,
validation_metadata,
priority,
is_multi = TRUE,
return_all_intermediate = FALSE,
is_percent = FALSE
)
Arguments
snp_sets |
the dataframe containing the truth and predicted target |
training_seqs |
the training sequences |
validation_seqs |
the validation sequences |
training_metadata |
the training metadata |
validation_metadata |
the validation metadata |
priority |
the priority of the target, generated by |
is_multi |
Whether to use MCC-multi or MCC |
return_all_intermediate |
whether to return all intermediate values, only possible for binary class |
is_percent |
whether to return result by considering all the profiles having a GOI as target profile |
Value
Will return the summarised result
[Package minSNPs version 0.2.0 Index]