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