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