![Chapter 4 – Evaluating Classification & Predictive Performance © Galit Shmueli and Peter Bruce 2008 Data Mining for Business Intelligence Shmueli, Patel. - ppt download Chapter 4 – Evaluating Classification & Predictive Performance © Galit Shmueli and Peter Bruce 2008 Data Mining for Business Intelligence Shmueli, Patel. - ppt download](https://images.slideplayer.com/13/4173243/slides/slide_8.jpg)
Chapter 4 – Evaluating Classification & Predictive Performance © Galit Shmueli and Peter Bruce 2008 Data Mining for Business Intelligence Shmueli, Patel. - ppt download
![SOLVED: CI Examples No of Class C2 No: of Class Example 40 15 SOLVED: CI Examples No of Class C2 No: of Class Example 40 15](https://cdn.numerade.com/ask_images/1d909667ca2d48548f593579e3e128e4.jpg)
SOLVED: CI Examples No of Class C2 No: of Class Example 40 15 " 220 Compute two-level decision tree using the greedy approach described in this chapter. Uec " the classification error
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Error correction enables use of Oxford Nanopore technology for reference-free transcriptome analysis | Nature Communications
The lowest overall error rate (percentage) found for different choices of k | Download Scientific Diagram
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