NEWS
mltest 1.0.1 (2018-11-16)
- added bibliography in the help page of the function "mltest::ml_test()"
- removed "mltest.R" file which previously described the package
- redone/simplified the implementation of the calculation of local variables "TP" and "TN"
within "mltest::ml_test()"
- added variables "FP" and "FN" (semantiaclly corresponding to FP and FN of a confusion
matrix) within "mltest::ml_test()"
- reimplemented/expressed evaluation-metrics "precision", "recall", "specificity" in simple
terms of TP, TN, FP and FN
- implemented new evaluation-metrics: "DOR", "error.rate", "FDR"/"FNR"/"FOR"/"FPR",
"geometric.mean", "Jaccard",
"L"/"lambda" (representing LR(+) and LR(-) respectively), "MCC", "MK" (Markedness), "NPV",
"OP" (optimization precision),
"Youden"('s index)
- added an extra argument "output.as.table" which is FALSE by default: this returns a list
with named vectors (class-mtrics)
for fast access through referencing/subsetting a la
$. when the above
"output.as.table" = TRUE the dataframe with all the metrics is returned (except for
"accuracy" and "error.rate")