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OpenTwinCities / policing-and-public-safety-data-toolkit

A toolkit to inspire new conversations and new ways of thinking about the future of public safety.
MIT License
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data tree as a way to talk about problem data #2

Open barbh1307 opened 3 years ago

barbh1307 commented 3 years ago

Things to think about with trees: Fundamental concepts on data-partitioning, recursive binary splitting, and nodes etc. Data exploration and data preparation for building classification models Performance metrics for decision tree models - Gini Index, Entropy, and Classification Error. https://link.springer.com/article/10.1007/s10994-017-5633-9 https://www-users.cs.umn.edu/~kumar001/dmbook/ch4.pdf Basically, Classification Trees are a hierarchical way of partitioning the space. A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data is continuously split according to a certain parameter. Decision Tree consists of : Nodes : Test for the value of a certain attribute. Edges/ Branch : Correspond to the outcome of a test and connect to the next node or leaf. Leaf nodes : Terminal nodes that predict the outcome (represent class labels or class distribution)

barbh1307 commented 3 years ago

how policing data relates internally and externally