- Citation Author(s):
- Submitted by:
- Chao-Yu Guo
- Last updated:
- Wed, 01/04/2023 - 07:11
- Data Format:
- Research Article Link:
0 ratings - Please login to submit your rating.
"Early Stage Diabetes Risk Prediction Dataset" from the University of California, Irvine (UCI) machine learning Repository. This data was collected from a direct questionnaire of patients from the Diabetes Hospital in Sylhet, Bangladesh. It contains a total of 520 people with diabetes. Related symptoms are in the reference, of which 320 people have diabetes, and 200 do not.
The R code of the Random Interaction Forest use this dataset as an application.
## Step 1: Change the directory and data set name
data = read.csv("Path_To_diabetes_data_upload/diabetes_data_upload.csv", header = T)
## Step 2:Define the number of variables selected in random forrest
- diabetes_data_upload.csv.gz (2.06 kB)
- RIF-V1.R.gz (1.21 kB)
The first version of R code that implements the Random Interaction Forest (RIF)