For Teens — Is Shopping History or Interest in Game a better Indicator?

1 Use the decision stumps below to make rules that predict whether or not teens would buy the game based on each category.

a decision tree stump for teens' shopping history without checks

a decision tree stump for teens' interest in the game without checks

Predict that

  • previous teenage customers will buy / will not buy / no prediction

  • new teenage customers will buy / will not buy / no prediction

Predict that

  • interested teenage shoppers will buy / will not buy / no prediction

  • uninterested teenage shoppers will buy / will not buy / no prediction

Place a checkmark below each value that the computer would predict correctly.

2 Use the decision stumps to determine how well each rule predicts whether or not teens would buy the game.

For our training data, this rule

  • would make correct predictions out of 5 attempts

  • is % accurate

For our training data, this rule

  • would make correct predictions out of 5 attempts

  • is % accurate

3 Will you use shopping history or interest for your second decision node for teens?

For People in their Thirties — Is Shopping History or Interest in Game a better Indicator?

Refer to the training data on Decision Tree: Predicting Shopping Behavior — Part 1 to complete the stumps below.

4 Complete the decision stumps below to make rules that predict whether or not people in their thirties would buy the game.

a decision tree stump showing the shopping history of individuals in their thirties (blank)

a decision tree stump showing interest in the game by individuals in their thirties (blank)

Predict that

  • new customers in their 30s will buy / will not buy / no prediction

  • previous customers in their 30s will buy / will not buy / no prediction

Predict that

  • interested customers in their 30s will buy / will not buy / no prediction

  • uninterested customers in their 30s will buy / will not buy / no prediction

5 Add checkmarks to the correct predictions. Then determine how well each rule predicts which customers in their thirties buy the game.

For our training data, this rule

  • would make correct predictions out of 5 attempts

  • is % accurate

For our training data, this rule

  • would make correct predictions out of 5 attempts

  • is % accurate

6 Will you use shopping history or interest for your second decision node for customer in their thirties?

These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). CCbadge Bootstrap by the Bootstrap Community is licensed under a Creative Commons 4.0 Unported License. This license does not grant permission to run training or professional development. Offering training or professional development with materials substantially derived from Bootstrap must be approved in writing by a Bootstrap Director. Permissions beyond the scope of this license, such as to run training, may be available by contacting contact@BootstrapWorld.org.