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README.md
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---
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license: cc-by-4.0
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---
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license: cc-by-4.0
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language:
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- en
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metrics:
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- mse
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- mae
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- accuracy
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library_name: sklearn
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tags:
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- salary_price
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- polynomial_regression
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---
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inference: false
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tags:
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- sklearn
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- polynomial-regression
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library_name: mlconsole
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metrics:
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- mae
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- loss
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datasets:
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- salary_prediction
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model-index:
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- name: salary_prediction
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results:
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- task:
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type: polynomial-regression
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name: polynomial-regression
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dataset:
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type: csv
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name: Salary prediction of Data Peofessions
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metrics:
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- type:R^2 score in training
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name: accuracy in training
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value: 0.9205775022717194
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- type:R^2 score in test
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name: accuracy in test
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value: 0.8852521574169744
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- type: mae in training
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name: Mean absolute error in training
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value: 0.1487798237760919
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- type: loss
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name: Model loss in training
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value: 0.07942249772828057
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- type: mae in test
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name: Mean absolute error in test
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value: 0.15617568153541936
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- type: loss
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name: Model loss in test
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value: 0.14840390509540233
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