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