The algorithms find weights of discrete attributes basing on very simple association rules involving only one attribute in condition part.
a symbolic description of a model
data to process
The algorithm uses OneR classifier to find out the attributes' weights. For each attribute it creates a simple rule based only on that attribute and then calculates its error rate.
a data.frame containing the worth of attributes in the first column and their names as row names
1 2 3 4 5 6 7 8
OpenJDK 64-Bit Server VM warning: Can't detect initial thread stack location - find_vma failed attr_importance V1 0.25947997 V2 0.09263504 V3 0.60091159 V4 0.77026555 V5 0.55956326 V6 0.29341077 V7 0.37010302 V8 0.50547622 V9 0.47440918 V10 0.08719321 V11 0.24018603 V12 0.56109553 V13 0.39872373 V14 0.47690848 V15 0.38644105 V16 0.30703305 Class ~ V4 + V3 + V12 + V5 + V8 <environment: 0x3f87f48> Warning message: system call failed: Cannot allocate memory
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.