semvec/pypi-packages huggingface dataset:
Topsis-shrutiagrawal-101803061 1.0.0
A Python package to get the the topsis score and rank
License: MIT

# TOPSIS-Python

## Submitted By: Shruti agrawal 101803061
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## What is TOPSIS

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.know more from [wikipedia]("https://en.wikipedia.org/wiki/TOPSIS")

## How to use this package:

TOPSIS-Shruti-101803061 can be run as in the following example:
## In Command Prompt(originally) :
>```python topsis.py data.csv "1,1,1,1" "+,+,-,+" result.csv```
## After installing package 
>```Topsis_shruti_101803061 data.csv "1,1,1,1" "+,+,-,+"result.csv``` 
## sample dataset:

|Model|Corr|Rseq|RMSE|Accuracy|
|-----|----|----|----|--------|
|M1	  |0.79	|0.62|	1.25|	60.89|
|M2|	0.66|	0.44|	2.89|	63.07
|M3	|0.56|	0.31|	1.57|	62.87
|M4	|0.82|	0.67|	2.68|	70.19
|M5	|0.75|	0.56|	1.3	|80.39

## output

|Model|Corr|Rseq|RMSE|Accuracy|Topsis_score|Rank|
|-----|----|----|----|--------|------|----|
|M1	  |0.79	|0.62|	1.25|	60.89|0.772209735|2|
|M2|	0.66|	0.44|	2.89|	63.07|0.225598754|5|
|M3	|0.56|	0.31|	1.57|	62.87|0.438897317|4|
|M4	|0.82|	0.67|	2.68|	70.19|0.523877871|3|
|M5	|0.75|	0.56|	1.3	|80.39|0.811388708|1|