Once we have introduced a basic ROC curve, we cover the useful metrics that can be extracted from such a curve and try to give them a way to intuitively interpret what they are looking at.
Last, in the simple tutorial we cover the major source of error in this analysis and how it varies according to the size of the sample population.
Receiver Operating Characteristsics (ROC)
Statistical Modeling and Data Analytics
Sciligent has proven expertise in using statistical methods for analyzing data streams that include mathematical modeling and simulation with physics-based or socio-economic models, statistical inference and machine learning methods for natural language processing, and the development of bibliometric and scientometric indicators for technology forecasting.
We provide analytical solutions to our clients' problems with gathering, managing, processing or interpreting their data.
Once we have introduced a basic ROC curve, we cover the useful metrics that can be extracted from such a curve and try to give them a way to intuitively interpret what they are looking at.
