Description Usage Arguments Details Value References See Also
run multiple runs of k-fold cross validation, see referece. "Use all data" variant is implemented here.
1 2 3 4 |
X |
matrix/ dataframe of predictors, e.g. EFA
coefficients/ PC scores selected using
|
Y |
vector giving the class, e.g. value obtained from
|
method |
method |
k |
fold number of cross-validation |
run |
number of run to be used in multiple runs of k-fold cross-validation |
threshold |
optional. A numeric value between 0-1 to
set the threshold of posterior probility. Any class
prediction with posterior probility lower than this value
will be |
suppress |
suppress the running status in R console
when |
mrkfcv
is a wrapper for kfcv
while
mrkfcv2
is a wrapper for kfcv2
, both of which iterate them for
a number of times specified by run
argument.
For mrkfcv
, the ind.prediction
value is the precentage calculated
from run
number of results. This calculation is useful when user wish to
find out problematic specimen(s) during building classification model.
For mrkfcv2
, the calculated by-class statistics (stat.sum
) are
average of all values of number of k x run
of
submodels (NA
values are excluded).
accuracy |
cross-validated accuracy for the tested
classifier, resulted from the average of |
accu.sd |
standard deviation for the accuracy,
calculated from the |
total |
mean
total successful prediction in percent, not returned if
|
total.sd |
sd of total
successful prediction in percent, not returned if
|
misclass |
[ |
ind.prediction |
[ |
stat.sum |
[ |
conmat |
[ |
Bouckaert, R.R., (2003). Choosing between two learning algorithms based on calibrated tests. In: Fawcett, T., Mishra, N. (Eds.), Proceedings of the Twentieth International Conference (ICML 2003) on Machine Learning. August 21-24, 2003, AAAI Press, Washington.
Beleites, C., Baumgartner, R., Bowman, C., Somorjai, R., Steiner, G., Salzer, R., & Sowa, M. G. (2005). Variance reduction in estimating classification error using sparse datasets. Chemometrics and Intelligent Laboratory Systems, 79(1), 91-100.
Which this function wraps: kfcv
, kfcv2
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