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