Mothers Matter: Using Regression Tree Algorithms to Predict Adolescents’ Sharing of Drunk References on Social Media
Exposure to online drinking on social media is associated with real-life alcohol consumption. Building on the Theory of planned behavior, the current study substantially adds to this line of research by identifying the predictors of sharing drunk references on social media. Based on a cross-sectiona...
Guardado en:
Autores principales: | Sebastian Kurten, David Winant, Kathleen Beullens |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/208d9ae4ba944ac0a8cc97bd04f0600f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
por: Cindy Feng, et al.
Publicado: (2021) -
Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network
por: Pyae Pyae Phyo, et al.
Publicado: (2021) -
Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography
por: Dariusz Majerek, et al.
Publicado: (2021) -
Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters
por: Naser Safaeian Hamzehkolaei, et al.
Publicado: (2021) -
Modeling the Spatial Distribution of Soil Nitrogen Content at Smallholder Maize Farms Using Machine Learning Regression and Sentinel-2 Data
por: Zinhle Mashaba-Munghemezulu, et al.
Publicado: (2021)