what-if

Shiny tool to assist with decisioning around machine learning costs

Steps

1. make data set
2. understand variables
3. get sample shiny dashboard example
4. build

Precision = true positives / all positives

Recall = true positives / false negatives (data points the model identifies as negative that actually are positive (incorrect))