README.md

metadata

license: cc-by-4.0
language:
  - en
metrics:
  - mse
  - mae
  - accuracy
library_name: sklearn
tags:
  - salary_price
  - polynomial_regression

inference: false tags:

• sklearn
• polynomial-regression library_name: mlconsole metrics:
• mae
• loss datasets:
• salary_prediction model-index:
• name: salary_prediction results:
  • task: type: polynomial-regression name: polynomial-regression dataset: type: csv name: Salary prediction of Data Peofessions metrics:
    • type:R^2 score in training name: accuracy in training value: 0.9205775022717194
    • type:R^2 score in test name: accuracy in test value: 0.8852521574169744
    • type: mae in training name: Mean absolute error in training value: 0.1487798237760919
    • type: loss name: Model loss in training value: 0.07942249772828057
    • type: mae in test name: Mean absolute error in test value: 0.15617568153541936
    • type: loss name: Model loss in test value: 0.14840390509540233