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