README.md

---
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