To identify those foundations who are likely to be successful in that the money given to them was used effectivel
- 'is Successful' is the target variable
- NAME and EIN are neither target nor features and should be removed
- The remaining 43 variables are potential features
- there are two layers in the model with 80 nodes in the first layers and 30 in the second layer, this is to keep the nodes at roughly 2-3 times the number of features
- the model is not accurate at predicting and needs optomization