I'm playing around with the wisconsin breast cancer data that predicts malignant or benign.
I'm can't figure out which visualization to use to form my Hypothesis. I want my hypothesis to be something like "which attribute would have the most effect on predicting the class variable".
I made a scatterplot matrix for this data but I think it doesn't show good visualization from which I can make manual predictions by just looking at the image.
Which graph/visualization should I use to extract some meaningful information from the data by just visually looking at it?
https://dl.dropboxusercontent.com/s/d6jg7jwpb75erq3/Rplot14.png?dl=0
> library(foreign) > breast <- read.arff("http://www.cs.iastate.edu/~cs573x/labs/lab1/breast-cancer- wisconsin.arff") > breast$class <- as.numeric(as.character(breast$class)) [link][comment]