Displaying 6 results from an estimated 6 matches for "crand".
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brand
2005 May 27
1
logistic regression
...ng this:
> pred = predict(logistic.model, data)
> pred[pred <= 1.5] = 0
> pred[pred > 1.5] = 1
> t = table(pred, data[,24])
> t
pred 0 1
0 102 253
1 255 3701
>
> classAgreement(t)
$diag
[1] 0.8821619
$kappa
[1] 0.2222949
$rand
[1] 0.7920472
$crand
[1] 0.1913888
>
but as you can see I am using a break point well outside the range 0 to
1 and the kappa is rather low (I think).
I am a bit of a novice in this, and the results worry me.
Can anyone comment if the results look strange, or if they know I am
doing something wrong?
Steph...
2005 May 24
1
best.svm
...0
But when I applied it:
> pred = predict(svm.model, data[3001:4000,1:23])
> pred[pred > .5] = 1
> pred[pred <= .5] = 0
> t = table(pred,data[3001:4000,24])
> t
pred 0 1
1 65 935
> classAgreement(t)
$diag
[1] 0.065
$kappa
[1] 0
$rand
[1] 0.8783283
$crand
[1] 0
It didn’t produce really good results.
Will best.svm get me the best svm? Have I given it the wrong
parameters?
Any help most welcome.
Stephen
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2011 May 28
0
how to train ksvm with spectral kernel (kernlab) in caret?
...-
library(caret)
library(kernlab)
data(iris)
TrainData<- iris[,1:4]
TrainClasses<- iris[,5]
set.seed(2)
fitControl$summaryFunction<- Rand
svmNew<- train(TrainData, TrainClasses,
method = "svmRadial",
preProcess = c("center", "scale"),
metric = "cRand",
tuneLength = 4)
svmNew
-------------------
here is an example on how to train the
ksvm with spectral kernel
-------------------
# Load the data
data(reuters)
y <- rlabels
x <- reuters
sk <- stringdot(type="spectrum", length=4, normalized=TRUE)
svp <- ksvm(x,y,kern...
2006 Jan 08
1
Clustering and Rand Index - VS-KM
Dear WizaRds,
I have been trying to compute the adjusted Rand index as by Hubert/
Arabie, and could not correctly approach how to define a partition
object as in my last request yesterday.
With package fpc I try to work around the problem, using my original data:
mat <- matrix( c(6,7,8,2,3,4,12,14,14, 14,15,13,3,1,2,3,4,2,
15,3,10,5,11,7,13,6,1, 15,4,10,6,12,8,12,7,1), ncol=9, byrow=T )
2006 Dec 11
1
cohen kappa for two-way table
...85
it seems like the second method (type='counts') is the correct way to
use a contingency table... but am i correct?
Secondly, when using the classAgreements() function I get different numbers:
classAgreement(table(A,B))
$diag
[1] 0.03296703
$kappa
[1] 0.02180419
$rand
[1] 0.9874325
$crand
[1] 0.7648124
Perhaps I am mis-reading the relevant manual pages. Can anyone shed
some light on the proper use, and therfore interpretation of these two
methods - when using a contingency table as input?
Thanks in advance,
Dylan
2016 Apr 27
3
Create a new variable and concatenation inside a "for" loop
Hello,
Suppose the you need a loop to create a new variable , i.e., you are not reading data from outside the loop. This is a simple example in Matlab code,
for i=1:5
r1=randn
r2=randn
r=[r1 r2]
c(i,:)=r; % creation of each row of c , % the ":" symbol indicates all columns. In R this would be [i,]
end
The output of interest is c which I'm creating inside the "for" loop