Displaying 1 result from an estimated 1 matches for "bgpreds".
Did you mean:
badpreds
2011 Mar 04
1
Probabilities outside [0, 1] using Support Vector Machines (SVM) in e1071
...16.350 819.6375 34 3848
...
modelFormula <- as.formula(Present ~ X02 + X03 + X05 + X06 + X07 + X13 +
X14 + X15 + X18)
Model <- svm( modelFormula,
data=Data,
gamma=0.25,
cost=4,
nu=0.10,
kernel='radial',
scale=TRUE,
type='nu-regression',
na.action=na.omit,
probability=TRUE
)
bgPreds <- predict(
Model,
newdata=bgEnv,
type='nu-regression',
probability=TRUE
)
bgPreds looks like:
11 12 13 14 15 16 17 18
0.54675813 0.37587560 0.39526542 0.67043587 -0.03079247 0.16696996
0.04714134 0.06989950
19 20
0.07615735 0.14923408
Notice the negative value. I can also get va...