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What does it mean by Support Prediction and Contradict Prediction?
Learner III
Hi, I'm quite new with the RapidMiner. Currently, I'm testing my dataset with Random Forest, Cross-Validation and Explain Prediction.
I'm using the Explain Prediction operator and I'm curious with the outcome results especially on support prediction and contradict prediction.
What does it mean with support prediction and contradict prediction? And also what does it mean with an example taken, Frequency = 12 (0.945), what does the 0.945 representing of? It is the weight of attributes? It is the same for the contradict prediction?
Hope someone can explain to me and thank you for your time.
I'm using the Explain Prediction operator and I'm curious with the outcome results especially on support prediction and contradict prediction.
What does it mean with support prediction and contradict prediction? And also what does it mean with an example taken, Frequency = 12 (0.945), what does the 0.945 representing of? It is the weight of attributes? It is the same for the contradict prediction?
Hope someone can explain to me and thank you for your time.
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