AI Worksheet: Training Data, Model, Prediction
AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.
NameDateTime takenScore ___ / 40
- 1.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
- 2.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
- 3.True or false: “what training builds” is the model. (a) False (b) True
- 4.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) flagging a new email
- 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new leaf (d) what training builds
- 6.True or false: “past weather records” is training data. (a) True (b) False
- 7.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
- 8.Which of these is training data? (a) recorded spoken words (b) the trained program (c) naming a new fruit photo (d) the learned patterns
- 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
- 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
- 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
- 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
- 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
- 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
- 15.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) recorded spoken words (d) past weather records
- 16.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) recorded spoken words
- 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
- 18.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
- 19.True or false: “old emails marked spam” is training data. (a) False (b) True
- 20.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) what training builds (d) the learned patterns
- 21.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
- 22.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
- 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
- 24.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
- 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
- 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
- 27.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) typing a new spoken word
- 28.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
- 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
- 30.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
- 31.True or false: “labelled fruit photos” is the model. (a) False (b) True
- 32.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
- 33.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
- 34.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) the trained program (d) old emails marked spam
- 35.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
- 36.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
- 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
- 38.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
- 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
- 40.True or false: “the learned patterns” is training data. (a) False (b) True
Answer key
- the learned patterns
- it learns patterns
- True
- flagging a new email
- naming a new leaf
- True
- False
- recorded spoken words
- a prediction
- past weather records
- a prediction
- a prediction
- a prediction
- the learned patterns
- what training builds
- typing a new spoken word
- training data
- recorded spoken words
- True
- old emails marked spam
- data, model, prediction
- 500 labelled leaf photos
- a prediction
- labelled fruit photos
- a prediction
- the model
- 500 labelled leaf photos
- to see if it works
- 500 labelled leaf photos
- training data
- False
- True
- True
- the trained program
- the trained program
- False
- the model
- what training builds
- training data
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students