Regression Comparison on 1/23/2019
Compare between Bayesian Linear Regression and Neural Network Regression
**1.Preparation**
1.1.Data preparation, use data Boston
1.2. Use modul Split Data, split data randomly 50% train data and 50% test data
**3. Model**
3.1. Bayesian Linear Regression
3.2. Neural Network Regression
**4. Train Model**
4.1. Use Train Model modul, connect to modul Bayesian, connect to Modul Split Data
4.2. Use Score Model modul, connect right bottom to right bottom Modul Split Data
4.3. Modul Evaluate
**5.Execute R Script**C
5.1. Change the R script in Properties panel for Bayesian Linear Regression
5.2. Connect to Modul Add Rows
**6. Neural Network Regression**
6.1. Follow the procedure from Preparation to Add Rows, for the Neural Network Regression.
6.2. Connect the Add Rows module Execute R Script in Neural Network Regression.
**7.Result.**
7.1. Run all application
7.2. Click Visualize table,
7.3. Comparing which is better, Bayesian Linear Regression or Neural Network Regression
