PACKAGE

This web page shows the issues in the functions in the package ModelMetrics if there are any. The table below shows the list of inputs passed that are generated by fuzzers and the valgrind issues with corresponding CPP file and line number.

Versions:

R: 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
VALGRIND: valgrind-3.15.0
PACKAGE: release before 2021-01-01
name inputs message file.line valgrind_log executable.file
ModelMetrics:::auc2_
ModelMetrics:::auc3_
ModelMetrics:::auc_
ModelMetrics:::avg_rank
ModelMetrics:::brier_ actual predicted Invalid read of size 8 confusionMatrix_.cpp : 111 valgrind_log executable-test-file
ModelMetrics:::ce_
ModelMetrics:::confusionMatrix_
ModelMetrics:::f1Score_
ModelMetrics:::fScore_
ModelMetrics:::gini_
ModelMetrics:::kappa_
ModelMetrics:::logLoss_ actual predicted Invalid read of size 8 logLoss_.cpp : 7 valgrind_log executable-test-file
ModelMetrics:::mae_ actual predicted Conditional jump or move depends on uninitialised value(s) error.cpp : 6 valgrind_log executable-test-file
ModelMetrics:::mcc_
ModelMetrics:::mlogLoss_ actual predicted Conditional jump or move depends on uninitialised value(s) logLoss_.cpp : 26 valgrind_log executable-test-file
ModelMetrics:::mse_ actual predicted Conditional jump or move depends on uninitialised value(s) error.cpp : 33 valgrind_log executable-test-file
ModelMetrics:::msle_ actual predicted Invalid read of size 8 error.cpp : 42 valgrind_log executable-test-file
ModelMetrics:::npv_ actual cutoff predicted Conditional jump or move depends on uninitialised value(s) confusionMatrix_.cpp : 10 valgrind_log executable-test-file
ModelMetrics:::plogLoss_ actual predicted Invalid read of size 8 logLoss_.cpp : 35 valgrind_log executable-test-file
ModelMetrics:::ppv_
ModelMetrics:::recall_
ModelMetrics:::rmse_ actual predicted Invalid read of size 8 error.cpp : 32 valgrind_log executable-test-file
ModelMetrics:::rmsle_ actual predicted Conditional jump or move depends on uninitialised value(s) error.cpp : 42 valgrind_log executable-test-file
ModelMetrics:::tnr_