Accuracy Calculator
Calculate classification accuracy from true/false positives and negatives.
Open toolPick a topic and difficulty, then answer a random set of multiple-choice questions drawn from the BestWordz question bank. Every answer gets instant feedback with a short explanation, and at the end you see your score, percentage, and a grade. Your answers stay in your browser — nothing is submitted or stored.
Enter your values and press Calculate — the result appears here.
From the BestWordz question bank (the quiz_questions table): 100+ multiple-choice questions on statistics, machine-learning metrics, and general AI concepts, each with an explanation. Questions are picked at random for every quiz.
Each correct answer is one point. Your score is the number of correct answers out of the total, shown as a percentage at the end, with a grade from Keep practicing to Excellent.
No. The questions are loaded from this site, but the quiz runs entirely in your browser — your selections are never submitted to the server. Only an anonymous start/finish signal is recorded for the site analytics, with no personal data.
Yes — pick Machine Learning & AI or Data Science & Statistics in the Topic dropdown, or leave it on All topics to mix everything together. You can also filter by difficulty (easy, medium, or hard).
AI agents aren't just chatbots. They're systems that observe, plan, act, evaluate, and iterate. Bui…
AI & Machine LearningKey Takeaway --> Machine learning requires three separate datasets: training (to learn), validatio…
CybersecurityKey Takeaway Prompt Engineering is the skill of communicating effectively with AI models. It is not…
CybersecurityYou don't need to hack anything to build a strong cybersecurity portfolio. Defensive projects — log…
AI & Machine LearningThe best data science portfolio isn't 20 notebooks that all do the same thing. It's 20 projects tha…
CybersecurityData science in 2026 spans far beyond machine learning. A complete data scientist needs Python, sta…
Calculate classification accuracy from true/false positives and negatives.
Try it now →Enter TP, FP, FN, and TN and get every derived metric: accuracy, precision, recall, specificity, F1…
Try it now →Compute the F1 score — the harmonic mean of precision and recall — from TP, FP, FN, TN.
Try it now →Compute the area under the ROC curve from a list of model scores and binary labels (0/1).
Try it now →Join the conversation about Machine Learning, quiz, machine learning quiz on the BestWordz Community forum.
Visit Forum →Have questions about ML & Data Science Quiz? Join the BestWordz Community.