Classification metrics from counts

Tutor me on https://mlprep.iwase.dev/item/original-ml-metrics/. If window.mlPrepAgent is available, read attempts for item original-ml-metrics before tutoring. Inspect my attempt, keep the item ID, and do not reveal the full answer first. After a real attempt, append its record with recorded_by agent, include agent_session_id when available, and read it back.

Problem

A classifier has $\mathrm{TP}=30$ , $\mathrm{FP}=10$ , $\mathrm{FN}=20$ , and $\mathrm{TN}=40$ . Compute accuracy, precision, recall, and $F_1$ .

Reveal answer or reference solution

Accuracy is $0.70$ , precision is $0.75$ , recall is $0.60$ , and

$F_1=\frac{2(0.75)(0.60)}{0.75+0.60}=\frac{2}{3}.$

Local history

Loading attempts saved in this browser…

Appears in

Classification Practice