Metadata-Version: 2.1
Name: TOPSIS-PRAKIRTI-101803167
Version: 0.0.1
Summary: 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.
Home-page: UNKNOWN
Author: PRAKIRTI GUMBER
Author-email: pgumber_be18@thapar.edu
License: UNKNOWN
Description: # TOPSIS-Python
        
        ## 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.
        
        
        ## How to use this package:
        
        
        
        TOPSIS-Prakirti-101803167 can be run as in the following example:
        
        ### In command prompt:
        
        ```bash
        >> TOPSIS-Prakirti-101803167 data.csv "1,1,2,1" "+,-,+,-" result
        ```
        
        
        
        
        ## Sample Dataset
        
        ```python
        
        
        
        Model	Correlation	  R2	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
        
        ```python
        Model   Score    Rank
        -----  --------  ----
          1    0.77221     2
          2    0.225599    5
          3    0.438897    4
          4    0.523878    3
          5    0.811389    1
        
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
