Data from: Why do youths initiate to smoke? A data mining analysis on tobacco advertising, peer, and family factors for Indonesian youths
Data files
Oct 16, 2024 version files 20.97 KB
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README.md
588 B
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research_data_tobacco_mining.csv
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Abstract
{"title":"Why do youths initiate to smoke? A Data mining analysis on Tobacco Advertising, Peer, and Family Factors for Indonesian Youths ","doi":"https://doi.org/10.5061/dryad.76hdr7sxg","step":1,"step1":"There are 400 cases in this dataset.\n\nThe attributes:\n\n* Outdoor advertising (hotspot,non hotspot);\n* Parent Smoker (No one, Father, Mother, Both of them, Do not know);\n* Peer Smoker (No one, Few, Most of them, all smoker);\n* Children smoker (No, Yes);\n* Start to smoke ( never smoke, < 7 years old, 8-9 years old, 10-11 years old, 12-13 years old, 14-15 years old)\n\n"}
This study deployed a cross-sectional quantitative study to explore factors related to youth smoking behaviour. This study surveyed and interviewed 400 students as a sample of high schools to observe smoking behaviour using adaptations of the GYTS questionnaires. This study applied a data mining approach with a decision tree method to generate the models. Later, the models were compared between several weighting criteria: Information Gain, Gini Index, Gain Ratio, and Accuracy. The comparison explored the most factors contributing to developing children smokers among peers, family, and tobacco advertising.
There are 400 cases in this dataset.
The attributes:
- Outdoor advertising (hotspot,non hotspot);
- Parent Smoker (No one, Father, Mother, Both of them, Do not know);
- Peer Smoker (No one, Few, Most of them, all smoker);
- Children smoker (No, Yes);
- Start to smoke ( never smoke, < 7 years old, 8-9 years old, 10-11 years old, 12-13 years old, 14-15 years old)
