Superior Essay Writers | Training, testing and evaluating a predictive model

Training, testing and evaluating a predictive model

The following assignment is meant to demonstrate your expertise in training, testing and evaluating a predictive model using RapidMiner. Using the process
created in your previous assignment, add operators to
Validate your decision tree model using:
Cross-validation
Split validation
Interpret your results
Use ROC curves to compare your models (you can create two decision trees with different parameters for comparison)
Provide screen-shots of all your processes’ designs and associated results.
In 1-2 paragraphs, compare your prediction models.
Hints:

You may follow steps available on the “Testing a model” Tutorial video to test your decision tree model

Sample Solution

understudies. Given the expected worth of such figures propelling scholastic achievement and hence impacting results like maintenance, wearing down, and graduation rates, research is justified as it might give understanding into non-mental techniques that could be of possible benefit to this populace (Lamm, 2000) . Part I: INTRODUCTION TO THE STUDY Introduction The country is encountering a basic lack of medical care suppliers, a deficiency that is supposed to increment in the following five years, similarly as the biggest populace in our country’s set of experiences arrives at the age when expanded clinical consideration is essential (Pike, 2002). Staffing of emergency clinics, centers, and nursing homes is more basic than any time in recent memory as the enormous quantities of ‘people born after WW2’s start to understand the requirement for more continuous clinical mediation and long haul care. Interest in turning into a medical caretaker has disappeared as of late, presumably because of the historical bac>

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