segmentation faults when splitratio = 0.5

[colleenchan]

When tuning a random forest using the caret package, segmentation faults occur often when splitratio = 0.5.

For a reproducible example, see: https://github.com/forestry-labs/GI-Collaboration/blob/main/code/3-Modeling/3.2-runPipeline.R

A segfault will occur with the parameters that are currently set:

dataset = "ehrbase" estimator = "randomforest" predictor = estimator seed = 101 force = 0 embedding_dict = NULL vi = 0

When running in a bash script, the error message would look something like:

• Fold7.Rep1: mtry=12, nodesizeStrictSpl=2, ntree=500, splitratio=0.5521

• Fold7.Rep1: mtry=12, nodesizeStrictSpl=4, ntree=500, splitratio=0.5000 mtry nodesizeStrictSpl ntree splitratio 4 12 4 500 0.5

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address 0x8e0, cause 'memory not mapped'

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address (nil), cause 'unknown'

  caught segfault

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address 0x448, cause 'memory not mapped'

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address 0x88f, cause 'memory not mapped'

  caught segfault address (nil), cause 'memory not mapped' Error: no more error handlers available (recursive errors?); invoking 'abort' restart

  caught segfault address (nil), cause 'memory not mapped'

  caught segfault address (nil), cause 'unknown' An irrecoverable exception occurred. R is aborting now ... An irrecoverable exception occurred. R is aborting now ...