An Artificial Neural Network (or ANN for short) 
is a predictive model (for regression and 
classification) motivated by the brain operates.
We use the house type as the dependent 
variable and the house ages and house prices 
as the independent variables 
We use a Split Validation operator to calculate 
the accuracies of the model on training data 
and test data. 
Within the validation operator, we use a Neural 
Network model to predict the house types. 
We calculate the model performance on the 
training data. 
We calculate the model performance on the 
test data as well. 
Report the model parameters, the model 
performances on the training data and the test 
data. 
We can build a more complicated network by 
adding more hidden layers and/or more 
neurons, and/or adjusting the learning rate. 
We can also use the AutoMLP operator to let 
RapidMiner choose the parameters of the 
Neural Works. 
Adjust the parameters to allow RapidMiner to 
consider more possible settings. 
Adjust the parameters to allow RapidMiner to 
consider more possible settings. 
