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DISCOVERY STUDIO / AI AND ML / CLASS 10
AI and ML · EXPERIMENT 15

Training and testing data

Separate data for learning and evaluation

Class 10 · Guided experience
VISUAL CONCEPT MAP · MATRIX

Training and testing data

Compare model decisions and inspect the difference between correct and incorrect predictions.

Input / evidence Processing Output / insight
PREDICTED LABELSACTUAL LABELSCOMPARE CORRECT & INCORRECT PREDICTIONS

Mission briefing

Split 100 labelled examples into training and test sets.

Explore the concept, change an input, observe the result and explain what it means.

◈ MODEL PERFORMANCE CONSOLE LIVE METRICS
ACCURACY90%
PRECISION88%
RECALL92%
CONFUSION MATRIX · SELECT A CELL
PRED +
PRED −
ACTUAL +
ACTUAL −

Select a cell to understand the outcome.

✎ Observation log

Record what you observed, what changed and one limitation.

CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.

Teacher review · Practical rubric

Suggested assessment framework. Teacher may adjust marks to suit the class and task.

Teacher rubric score: 4 / 10

Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.

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