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