Notes · Machine Learning

Machine Learning

Classical modelling, evaluation, and the parts of the workflow that decide whether a model is any good.

Classification report showing high overall accuracy alongside near-zero recall on the minority class

28 May 20263 min read

Your model is 97% accurate and completely useless

On imbalanced datasets, accuracy measures how common the majority class is. A walk through what to measure instead, and why SMOTE is not the fix people think it is.

Imbalanced Data
Metrics
SMOTE

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Scanned handwritten page beside the transcribed text output with corrected words highlighted

Machine Learning

11 Nov 20252 min read

OCR on real handwriting: what the tutorials leave out

Off-the-shelf OCR reads printed text well and handwriting badly. The preprocessing, segmentation and post-correction steps that took a handwritten transcription system from unusable to useful.

OCR
Computer Vision
OpenCV

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