Data is generated for the XOR problem. The default settings produce a data.frame with columns x1, x2 and y and with 4 rows and this table defines the XOR problem. The output y is defined by the XOR operation applied to the Boolean x1 and x2.
rxor(n = 1, p = 0)
sample size is 4*n
extra random inputs, x3, x4, ... etc. So the output data frame has dimensions 4*n by 2+p+1 columns. The extra p columns are random Bernouilli random variables with equi-probable outcomes.
This was a famous problem in online learning.
data.frame with 4*n rows and 2+p+1 columns. The last column corresponds to the output.
A. I. McLeod
1 2 3
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.