Census-Income-Classification

1. This is a classification model to predict whether a person have more than 50,000 dollars salary.

   Setup: python3.6 pandas numpy sklearn

   (1)training process Usage: python train_classify.py -i -c -f <selection_model> -o

    Example:
        python train_classify.py -i data/census-income.data  -c boot -f forest -o forest_model.sav
   
    Options:
        -i: input file 
        -c: classifier methods: kfold or boot
        -f: classification model: logistic, forest, boosting
        -o: output file of training model
   

   (2) prediction process

    Usage:
        python predict_classify.py -i <inputfile> -m <model file> 
   
    Example:
        python predict_classify.py -i data/classification-test.data -m forest_model.sav 
   
    Options:
        -i: input file 
        -m: model file
   

2. This is a selection method for significant features. Setup: python3.6 pandas numpy sklearn

   Usage: python feature_FSS.py -i -f <feature_selection_model>

   Example: python feature_FSS.py -i data/census-income.data -f forest

   Options: -i: input file -f: feature selection model: forward, forest, boosting

3. This is a segementation model to create data segments.

   Setup: python3.6 pandas numpy sklearn

   (1) training process

    Usage:
        python train_seg.py -i <inputfile> -cluster <segementation_model> -n <number of clusters> -o <model output>
   
    Example:
        python train_seg.py -i data/census-income.data -cluster KNN -n 10 -o seg_model.sav
   
    Options:
        -i: input file 
        -cluster: segementation model: KNN or GMM
        -o: output file of training model
   

   (2) prediction process

    Usage:
        python predict_seg.py -i <inputfile> -m <model file> 
    
    Example:
        python predict_seg.py -i data/segmentation-test.data -m seg_model.sav
   
    Options:
        -i: input file 
        -m: model file
   

4. Generating feature histogram for analysis Usage: python features_analysis.py -i -o

   Example: python features_analysis.py -i data/census-income.data -o features_analysis.txt

   Options: -i: input file -o: output file