Renesas 2023 13
Machine
USE IT?
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ORGANIZE
DATA
„ Assign training labels.
„ Segment files into consistent
sample sizes for AI
exploration, training,
or testing.
EXPLORE
„ Create potential
feature sets and ML
models for classification.
„ Select the best-fit model
based on accuracy
and computational
complexity.
TRAIN
„ Train the new base tool
against a subset of data.
„ Balance is important.
TEST
„ Test the trained tool
against a subset of data.
„ Validate performance using
training samples and
k-fold validation.
OPTIMIZE
„ Optimize for sensitivity
and tolerances.
„ Retrain as needed.
MODEL
range
