Precision, Recall & F1: Moving the Threshold on the Log-Odds
This lesson is part of the course
In this lesson
You classify 16 messages at two log-odds thresholds, count TP, FP and FN for each, and compare precision, recall and F1 to choose a safer spam threshold.
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Lessons in this course
- Priors from Class Counts: How Common Is Spam? Locked
- Word Counts per Class with SUMIFS Locked
- Laplace Smoothing & Word Likelihoods Locked
- Log-Probabilities & Scoring a Message with SUMPRODUCT Locked
- Classify a Batch & Build the Confusion Matrix Locked
- Precision, Recall & F1: Moving the Threshold on the Log-Odds Locked
- Sentiment: a Word Lexicon vs Naive Bayes Locked
- Most Informative Words: Log-Likelihood Ratios & a Ranking Chart Locked