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