R/analysis.R
calculate_models_mcc.Rd
Calculate the Matthews correlation coefficient for each model
calculate_models_mcc( observed.model.predictions, unobserved.model.predictions, number.of.drug.comb.tested )
observed.model.predictions |
|
---|---|
unobserved.model.predictions |
|
number.of.drug.comb.tested | numeric. The total number of drug
combinations tested, which should be equal to the sum of the columns of the
|
a numeric vector of MCC values, each value being in the [-1,1]
interval. The names attribute holds the models' names
if applicable (i.e. the input data.frames
have rownames).
Other confusion matrix calculation functions:
calculate_mcc()
,
calculate_models_synergies_fn()
,
calculate_models_synergies_fp()
,
calculate_models_synergies_tn()
,
calculate_models_synergies_tp()