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