ciaScores

This data set gives the number of cell phones per person for 194 countries, courtesy of the CIA World Factbook. The data are mostly for 2008. It also gives predicted values of this variable from 5 different methods (OLS, Lasso, Regression Tree, Random Forest, and Additive Model). Finally, there is an indicator for each country indicating whether the country was used in the model development sample or not.

datasets

Constructs gains tables and lift charts for prediction algorithms. Gains tables and lift charts are commonly used in direct marketing applications.  The method is described in Drozdenko and Drake (2002), "Optimal Database Marketing", Chapter 11.

Craig Rolling

gains

Lift (Gains) Tables and Charts

ciaScores function

a data frame containing 194 rows and 8 columns.<ul>
<li>CellPhonesPP: Number of cell phones per person, from the CIA Factbook.</li>
<li>PredOLS: Predicted response from an OLS regression.</li>
<li>PredLasso: Predicted response from a LASSO regression.</li>
<li>PredTree: Predicted response from a regression tree.</li>
<li>PredRF: Predicted response from a Random Forest.</li>
<li>PredSM: Predicted response from an additive model.</li>
<li>PredGLM: Predicted probability (from a logistic regression) that the country has more cell phones than people.</li>
<li>train: Indicator, =1 if the country was among the set used to make the predictions, =0 if the country was in the validation set (not used to make predictions).</li>
</ul>

ciaScores: Cell Phones per Country with Predictions

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