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