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Formula Sheet

Model Evaluation — Formula Sheet

ICSE · Class 12 · Artificial Intelligence

7 formulas from Model Evaluation (ICSE Class 12 Artificial Intelligence) on one page, grouped by topic. Covers Evaluation and Testing Data, Confusion.

70 questions35 flashcards7 formulas & key relations5 concepts

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7 Entries · 3 Sections

Formulas and Key Relations

2. Accuracy and Error

Accuracy = (Number of Correct Predictions) / (Total Number of Predictions)

Error = 1 - Accuracy

Accuracy = (TP + TN) / (TP + TN + FP + FN) * 100%

4. Precision, Recall, and F1 Score

Precision = TP / (TP + FP) * 100%

Recall = TP / (TP + FN) * 100%

F1 Score = 2 * (Precision * Recall) / (Precision + Recall) * 100%

Accuracy = correct predictions / total predictions.

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Frequently Asked Questions

What are the important topics in Model Evaluation for ICSE Class 12 Artificial Intelligence?
Key topics in Model Evaluation include Evaluation and Testing Data, Confusion Matrix and Classification Outcomes, Accuracy, Precision, Recall, and F1 Score, Metric Choice Based on Error Cost. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How many formulas are in Model Evaluation?
This sheet lists 7 formulas from Model Evaluation, grouped by topic. Learn what each symbol stands for so you can apply the formula, not just recall it.
How should I revise Model Evaluation for the ICSE Class 12 board exam?
Learn the core ideas first, then work through the 70 practice questions on Model Evaluation. Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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All ICSE Class 12 Artificial Intelligence Formula Sheet

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