Active Living Feature Score
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In this research, Ali Alfosool proposes Active Living Feature Score or ALF-Score, a novel approach to measure walkability more accurately and efficiently while addressing existing limitations. ALF-Score incorporates road network structure to derive various features such as network science centralities and network embedding which are crucial in better understanding the road structure. ALF-Score utilizes user opinion to build high-confidence ground-truth that is used to generate models capable of estimating walkability scores based on user opinion. By incorporating machine learning approaches in my pipelines, he was able to achieve a much higher granularity and higher spatial resolution of walkability scores at point level' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["walkability, active living"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In this research, Ali Alfosool proposes Active Living Feature Score or ALF-Score, a novel approach to measure walkability more accurately and efficiently while addressing existing limitations. ALF-Score incorporates road network structure to derive various features such as network science centralities and network embedding which are crucial in better understanding the road structure. ALF-Score utilizes user opinion to build high-confidence ground-truth that is used to generate models capable of estimating walkability scores based on user opinion. By incorporating machine learning approaches in my pipelines, he was able to achieve a much higher granularity and higher spatial resolution of walkability scores at point level' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In this research, Ali Alfosool proposes Active Living Feature Score or ALF-Score, a novel approach to measure walkability more accurately and efficiently while addressing existing limitations. ALF-Score incorporates road network structure to derive various features such as network science centralities and network embedding which are crucial in better understanding the road structure. ALF-Score utilizes user opinion to build high-confidence ground-truth that is used to generate models capable of estimating walkability scores based on user opinion. By incorporating machine learning approaches in my pipelines, he was able to achieve a much higher granularity and higher spatial resolution of walkability scores at point level
walkability, active living