RapidMiner Classification (Part 2): Model Creation and Application скачать в хорошем качестве

RapidMiner Classification (Part 2): Model Creation and Application

In this video you are going to learn how to create a simple k-NN classifier in RapidMiner Studio and subsequently apply it to new Workers Compensation claim data. The model aims to predict the possibility of subrogation, i.e. recovery of insurance payout due to the claim irregularities, by looking only at the nature and causes of workers injury. The video finally draws the viewer's attention to the need of measuring the model performance. This video is best to watch as part of the series on classification:    • RapidMiner Classification (Part 1): Introd...   The data for this lesson appeared in a number of tutorials for text mining. However, in this video it will be used to predict various aspects of workers compensation claims based on structured variables only. The data for the video can be obtained from: http://jacobcybulski.com/youtube-rsrc... http://jacobcybulski.com/youtube-rsrc... The original source of the data does not seem to be available online anymore. Videos in data analytics and data visualization by Jacob Cybulski, jacobcybulski.com.