Topsis-Python
Project 1 : UCS654
Submitted By: Karan singla 102003255
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. More details at wikipedia.
How to use this package:
Topsis-Karansingla-102003355 can be run as in the following example:
In Command Prompt
>> topsis 102003355-data.csv "1,1,1,1" "+,+,-,+" 102003355-result.csv
Sample dataset
| 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
| Model | Correlation | R<sup>2</sup> | RMSE | Accuracy | Score
| ----- | ----------- | ------------- | ---- | -------- | ---------
| M1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.77221
| M2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.225599
| M3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.438897
| M4 | 0.82 | 0.67 | 2.68 | 70.19 | 0.523878
| M5 | 0.75 | 0.56 | 1.3 | 80.39 | 0.811389
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Release files for Topsis-Karansingla-102003355 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Topsis-Karansingla-102003355-1.0.0.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Topsis_Karansingla_102003355-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / Topsis-Karansingla-102003355-1.0.0.tar.gz
| Download URL | Topsis-Karansingla-102003355-1.0.0.tar.gz |
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Release files / Topsis_Karansingla_102003355-1.0.0-py3-none-any.whl
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| Tags | Python 3 |
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