Hello to all.
I have a small confusion, kindly if you could suggest something?
I need to compare two algorithms, CART and NNET in R. The results show that
NNET has better MAE value, but I want to find if there is any significance
difference between the results of both algorithms? The dataset I
r-help Forum
Anyone familiar with the "rnoaa" library? I'm trying to pull NOAA temp
data. I have a key but when I run the code highlighted in yellow ..
Warning message:
Sorry, no data found
No matter what station_id I use.
# library
library(rnoaa)
library(lubridate)
# set key
Hello Rui, thanks for your input
Yes, it runs. In fact, it gives me the result like below: (I just copied
few, the list is high)
X2 X3 X4 X5 X6 X7
X8
-95.835556 -182.235556 -177.435556 -188.235556 -205.035556
-202.635556
Hello,
Please cc the list.
Yes, that's what I mean.
Besides, the code as provided doesn't produce an object (search) with a
resid method. Are you sure resid(search) runs without errors?
Hope this helps,
Rui Barradas
Às 16:55 de 29/12/19, Neha gupta escreveu:
Hello Rui,
I use caret and
Hello,
Inline.
Às 16:28 de 29/12/19, Neha gupta escreveu:
Hi
I have continuous data I.e regression based. If I have residuals for
algorithm 1 and algorithm 2 like this,
X=resid(alg1) and y=resid (alg2)
Can we perform the Wilcoxon test as.
Wilcox.test(x,y)
Probably not, R is case
Hi
I have continuous data I.e regression based. If I have residuals for
algorithm 1 and algorithm 2 like this,
X=resid(alg1) and y=resid (alg2)
Can we perform the Wilcoxon test as.
Wilcox.test(x,y)
Thanks
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