We can do some advanced attribute selection. So let's say I open up fire. As I mentioned previously, Vika has its own data set. So we go into Vika installation data tree data. I choose Iris data set, click open okay. So all these are the ah at our data visualization and all these other descriptive statistics and all these other attributes.

So to have the advanced attribute selection, we can create on these select attributes then, we can Choose the algorithms. So I use the default. So I press start. And so this is the result these are CFS algorithm. So you say that select the attributes are 3422 after we learn in Pattabhi, then you can change some other algorithm Also, you can try information gain. Yeah, I agree.

Yes, Krista. The under select attributes is something easier that we can choose the algorithm correlation. Krista, there's a lotta attributes here. So based on all these result, we can actually Dino SEO which variables which you actually select based on all this result and then using into our classification and clustering.