I'm new to Splunk Machine Learning Toolkit and still deciding what model and algorithm should be used in predicting system outages. It would be a big help if someone can assist me with my inquiries below. Thanks in advance!
What are the pros and cons of each model and algorithm?
What are the most popular models and algorithms being used in predicting system outages?
Is it possible to use multiple data input criteria in machine learning?
Row1: Appdynamics business transaction error +
Row2: SCOM memory utilization 95% spike
Combination of Row1+2 = system outage