I try to use naiveBayes
> p.nb.90<-naiveBayes(y~aa_three+bas+bcu+aa_ss,data=training)
>
pr.nb.90<-table(predict(p.nb.90,training[,-13],type="class"),training[,13])
bur I get this error
Error in object$tables[[v]] : subscript out of bounds
>
head is data set
> head(training)
pr aa_three aa_one aa_ss aa_pos aas bas ams bms acu
bcu omega y index
1 1acx ALA A C 1 127.71 0 69.99 0
-0.2498560 0 79.91470 outward TRUE
2 1acx PRO P C 2 68.55 0 55.44 0
-0.0949008 0 76.60380 outward TRUE
3 1acx ALA A E 3 52.72 0 47.82 0
-0.0396550 0 52.19970 outward TRUE
4 1acx PHE F E 4 22.62 0 31.21 0 0.1270330 0
169.52500 inward TRUE
5 1acx SER S E 5 71.32 0 52.84 0
-0.1312380 0 7.47528 outward TRUE
6 1acx VAL V E 6 12.92 0 22.40 0 0.1728390 0
149.09400 inward TRUE
anyone know why?
Aimin
Aimin:
The problem is that the columns you choose for training (only 4
variables) do not match the ones used for prediction (all except y).
David
----
I try to use naiveBayes
> p.nb.90<-naiveBayes(y~aa_three+bas+bcu+aa_ss,data=training)
>
pr.nb.90<-table(predict(p.nb.90,training[,-13],type="class"),training[,13])
bur I get this error
Error in object$tables[[v]] : subscript out of bounds
>
head is data set
> head(training)
pr aa_three aa_one aa_ss aa_pos aas bas ams bms acu
bcu omega y index
1 1acx ALA A C 1 127.71 0 69.99 0
-0.2498560 0 79.91470 outward TRUE
2 1acx PRO P C 2 68.55 0 55.44 0
-0.0949008 0 76.60380 outward TRUE
3 1acx ALA A E 3 52.72 0 47.82 0
-0.0396550 0 52.19970 outward TRUE
4 1acx PHE F E 4 22.62 0 31.21 0 0.1270330 0
169.52500 inward TRUE
5 1acx SER S E 5 71.32 0 52.84 0
-0.1312380 0 7.47528 outward TRUE
6 1acx VAL V E 6 12.92 0 22.40 0 0.1728390 0
149.09400 inward TRUE
anyone know why?
Aimin