Repository for practicing data science techniques.
this repository is divided into data and notebooks
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The data used in this analyses was directly obtained from UCI. This dataset is intended to predict whether a person earns more than 50,000 a year.
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Prediction Algorithm:
- In this case, the Decision Tree algorithm was used for salary prediction.
- The Decision Tree Algorithm has an Accuracy of 81.6%.
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📊 Attribute information:
- Age
- Workclass
- fnlwgt
- Education
- Education-num
- Matirial-status
- Occupation
- Protective-serv
- Relationship
- race
- Sex
- Capital-gain
- Capital-loss
- Hours-per-week
- Native-country
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This dataset is intended to predict whether the individual will be a good payer.
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Prediction Algorithm:
- In this case, the Naive Bayes algorithm was used for salary prediction.
- The Naive Bayes Algorithm has an Accuracy of 93.8%.
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📊 Attribute information:
- ClientID
- Income
- Age
- Loan
- Default
