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Library/ Deep Learning/ Module 2 · Project 1: Facial Emotion Detection (image classification with CNN)/ 2.6 Evaluate the model

subtopic

Test-set score, per-emotion results and confusion matrix

10 min applied15 min research1 curated resources

Evaluate the best model ONCE on the untouched test set: overall accuracy, precision/recall/F1 per emotion, and the confusion matrix. Common finding: fear is confused with sad and surprise; disgust is the hardest. Then test on your own labelled photos (real-world test).

Builds on: S02 · Build: An Evaluation Harness (used for every model)

Notes, key code, what to skip and 1 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Test-set score, per-emotion results and confusion matrix · 1x1labs.ai