TOPSIS Package to rank different models
Project description
TOPSIS
Perform TOPSIS on different models to rank them depending on the weights and impact of each parameters.
Documentation
Commands:
- import topsis_vinay_101803108 as top
- top.topsis("filename","wts list","impacts list","resultfile")
Note:
- File should be of CSV type containing all the parameter for different files.
- Provdie weights and impact array in form of list
- wts => [1,1,1,1], impacts => ['-','+','+','+']
Eg.
After Analysing
top.topsis('file.csv',[1,1,0,5,1],['+','+','-','+'],'out.csv')
| Model | Corr | Rseq | Rmse | Accuracy | T_score | Rank |
|---|---|---|---|---|---|---|
| M1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.32358 | 2 |
| M2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.29871 | 3 |
| M3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.59283 | 1 |
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