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