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