Machine Learning Methods and Tools
Machine Learning Methods and Tools#
The type of classification model needed depends on the application. For example, during a flood emergency, first responders may only be interested in identifying residential buildings. In this use case, binary classification (Residential vs. non-Residential) is sufficient.
However, for ecomomic applications, multiclass classification is needed, i.e. Residential vs. Commercial vs. Industrial vs. …
We provide examples for both scenarios.
Our data is heavily unbalanced. The number of buildings by type is:
Building Type |
Count |
|---|---|
Residential |
976690 |
Commercial |
64029 |
Industrial |
16722 |
Assembly |
7323 |
Education |
6457 |
Government |
4910 |
Agriculture |
1651 |
Utility and Misc |
362 |
We also provide examples of how to deal with unbalanced classes in both binary classification and multi-class classification.