This is a set of scripts of 'techjam-online-audition-data-track'
To run the script:
1. Please install R package: v(3.4.1)
2. install package 'e1071': install.packages('e1071')
3. Each scipts split into its folder;
** Important **
Please check the workdir with work directory;
if not plaese change workdir in line 1 of the scripts: # setwd("~/Documents/workspace/R") to setwd("{your-directory}")
4. To run each scipts please follows:
1) Problem 1 - Non-Performing Loan Flag Prediction from Credit Card Information
1.1 move all of your data into directory: {your-directory}/data/1/*
1.2 plase insert line1 of 'tj_01_training.csv' with: card_no,class
1.3 plase insert line1 of 'tj_01_test.csv' with: card_no
1.4 the result is in {your-directory}/data/1/1.txt
2) Problem 2 - Merchant Prediction
2.1 move all of your data into directory: {your-directory}/data/2/*
2.2 plase insert line1 of 'tj_02_training.csv' with: account_no,class
2.3 plase insert line1 of 'tj_02_test.csv' with: account_no
2.4 the result is in {your-directory}/data/2/2.txt
3) Problem 3 - Churn Detection
3.1 move all of your data into directory: {your-directory}/data/3/*
3.2 plase insert line1 of 'tj_03_training.csv' with: account_no,class
3.3 plase insert line1 of 'tj_03_test.csv' with: account_no
3.4 the result is in {your-directory}/data/3/3.txt
4) Problem 4 - Account type prediction
4.1 move all of your data into directory: {your-directory}/data/4/*
4.2 plase insert line1 of 'tj_04_training.csv' with: account_no,class
4.3 plase insert line1 of 'tj_04_test.csv' with: account_no
4.4 the result is in {your-directory}/data/4/4.txt
5) Problem 5 - Gender Prediction
5.1 move all of your data into directory: {your-directory}/data/5/*
5.2 plase insert line1 of 'tj_05_training.csv' with: card_no,class
5.3 plase insert line1 of 'tj_05_test.csv' with: card_no
5.4 the result is in {your-directory}/data/5/5.txt
5. To run the scripts with command line use: ex: Rscript {solution1.R}
6. Enjoy :D