Learning Concepts from Examples

Five questions. Choose one answer for each, then submit to see your score and explanations.

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1. Which explanation matches describe a hypothesis space?A. A hypothesis space is the set of candidate rules the learning method can represent.B. A specific rule covers fewer cases; a general rule covers more and may admit false alarms.C. A version space contains hypotheses consistent with the examples under chosen assumptions.D. Inductive bias is the preference or restriction that lets a learner generalize beyond observed examples.

2. Which explanation matches specific and general rules?A. A hypothesis space is the set of candidate rules the learning method can represent.B. A version space contains hypotheses consistent with the examples under chosen assumptions.C. Inductive bias is the preference or restriction that lets a learner generalize beyond observed examples.D. A specific rule covers fewer cases; a general rule covers more and may admit false alarms.

3. Which explanation matches version spaces and conflicting examples?A. A hypothesis space is the set of candidate rules the learning method can represent.B. A specific rule covers fewer cases; a general rule covers more and may admit false alarms.C. A version space contains hypotheses consistent with the examples under chosen assumptions.D. Inductive bias is the preference or restriction that lets a learner generalize beyond observed examples.

4. For specific and general rules, which result or action fits this practical case: A rule flags one particular rainy route but misses other late deliveries.A. Compare a one-condition rule with one that combines route and weather.B. Relax the route condition and compare which additional records the rule now covers.C. Check whether noisy labels make every simple deterministic rule inconsistent.D. Compare a learner favoring simple rules with one allowing arbitrary lookup tables.

5. For inductive bias: why examples are not enough, which result or action fits this practical case: The team must decide which routes to compare before looking at all future trips.A. Compare a learner favoring simple rules with one allowing arbitrary lookup tables.B. Compare a one-condition rule with one that combines route and weather.C. Relax the route condition and compare which additional records the rule now covers.D. Check whether noisy labels make every simple deterministic rule inconsistent.

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Learning Concepts from Examples

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