**TOPSIS_102183056**
TOPSIS method for multiple-criteria decision making (MCDM)
**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.
## 🔗 Usage
topsis data.csv "1,1,1,1" "+,+,-,+" result.csv
## 🔗 Input File(data.csv)
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 File(result.csv)
Model Correlation R2 RMSE Accuracy Topsis_score Rank
M1 0.79 0.62 1.25 60.89 0.7722 2
M2 0.66 0.44 2.89 63.07 0.2255 5
M3 0.56 0.31 1.57 62.87 0.4388 4
M4 0.82 0.67 2.68 70.19 0.5238 3
M5 0.75 0.56 1.3 80.39 0.8113 1
Raw data
{
"_id": null,
"home_page": "https://github.com/SahilRo/TOPSIS-Sahil-102183056",
"name": "TOPSIS-Sahil-Rohilla-102183056",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "",
"author": "Sahil",
"author_email": "ssahil1_be20@thapar.edu",
"download_url": "https://files.pythonhosted.org/packages/a6/4e/24cee8f4567fad999c9186c88b45e4a4e3a818ba23bb0c254a61c86d40a3/TOPSIS-Sahil_Rohilla-102183056-1.0.4.tar.gz",
"platform": null,
"description": "**TOPSIS_102183056**\r\n\r\nTOPSIS method for multiple-criteria decision making (MCDM)\r\n\r\n**What is TOPSIS?**\r\n\r\nTechnique 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.\r\n\r\n\r\n## \u00f0\u0178\u201d\u2014 Usage\r\ntopsis data.csv \"1,1,1,1\" \"+,+,-,+\" result.csv\r\n\r\n## \u00f0\u0178\u201d\u2014 Input File(data.csv)\r\n\r\nModel\tCorrelation\tR2\tRMSE\tAccuracy\r\n\r\nM1\t0.79\t0.62\t1.25\t60.89\r\n\r\nM2\t0.66\t0.44\t2.89\t63.07\r\n\r\nM3\t0.56\t0.31\t1.57\t62.87\r\n\r\nM4\t0.82\t0.67\t2.68\t70.19\r\n\r\nM5\t0.75\t0.56\t1.3\t80.39\r\n\r\n## \u00f0\u0178\u201d\u2014 Output File(result.csv)\r\n\r\nModel\tCorrelation\tR2\tRMSE\tAccuracy\tTopsis_score\tRank\r\n\r\nM1\t0.79\t0.62\t1.25\t60.89\t0.7722\t2\r\n\r\nM2\t0.66\t0.44\t2.89\t63.07\t0.2255\t5\r\n\r\nM3\t0.56\t0.31\t1.57\t62.87\t0.4388\t4\r\n\r\nM4\t0.82\t0.67\t2.68\t70.19\t0.5238\t3\r\n\r\nM5\t0.75\t0.56\t1.3\t80.39\t0.8113\t1\r\n",
"bugtrack_url": null,
"license": "",
"summary": "A Topsis package that takes inputs as CSV and generates scores in results CSV!",
"version": "1.0.4",
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b6ca47fe5ae10af284b94ce83320b2208e5125987fa75c36839050f00e8657ad",
"md5": "e1b3d4f419b42fee1e139d1dc06ed1d0",
"sha256": "5041d16b7bd65b162533e8628dfe24619cd12e52738a3e1534187cd22d2e1182"
},
"downloads": -1,
"filename": "TOPSIS_Sahil_Rohilla_102183056-1.0.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "e1b3d4f419b42fee1e139d1dc06ed1d0",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 4450,
"upload_time": "2023-01-22T22:55:00",
"upload_time_iso_8601": "2023-01-22T22:55:00.447348Z",
"url": "https://files.pythonhosted.org/packages/b6/ca/47fe5ae10af284b94ce83320b2208e5125987fa75c36839050f00e8657ad/TOPSIS_Sahil_Rohilla_102183056-1.0.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a64e24cee8f4567fad999c9186c88b45e4a4e3a818ba23bb0c254a61c86d40a3",
"md5": "53159bb699629bafced663dc16acb2bb",
"sha256": "3b1933df779d3f01e51663d5f62b797945ced519e3e646b0986eced909cc8f14"
},
"downloads": -1,
"filename": "TOPSIS-Sahil_Rohilla-102183056-1.0.4.tar.gz",
"has_sig": false,
"md5_digest": "53159bb699629bafced663dc16acb2bb",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3984,
"upload_time": "2023-01-22T22:55:02",
"upload_time_iso_8601": "2023-01-22T22:55:02.907459Z",
"url": "https://files.pythonhosted.org/packages/a6/4e/24cee8f4567fad999c9186c88b45e4a4e3a818ba23bb0c254a61c86d40a3/TOPSIS-Sahil_Rohilla-102183056-1.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-22 22:55:02",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "SahilRo",
"github_project": "TOPSIS-Sahil-102183056",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "topsis-sahil-rohilla-102183056"
}