Displaying 3 results from an estimated 3 matches for "numofliv".
2017 Aug 23
1
cross validation in random forest using rfcv functin
...set.
Here is my data set and I want to do cross validation to see accuracy in classifying Alzheimer and Control Group:
str(data)
'data.frame': 499 obs. of 606 variables:
$ Gender : int 0 0 0 0 0 1 1 1 1 1 ...
$ NumOfWords : num 157 111 163 176 100 124 201 100 76 101
$ NumofLivings : int 6 6 9 4 3 5 3 3 4 3 ...
$ NumofStopWords: num 77 45 87 91 46 64 104 37 32 41 ...
.
.
$ Group : Factor w/ 2 levels "Alzheimer","Control","Control"..:
So basically trainy should be data$Group but how about trainx? Could anyone help me in this?...
2017 Aug 23
2
cross validation in random forest rfcv functin
...ris data set.
Here is my data set and I want to do cross validation to see accuracy in classifying Alzheimer and Control Group:
str(data)
'data.frame': 499 obs. of 606 variables:
$ Gender : int 0 0 0 0 0 1 1 1 1 1 ...
$ NumOfWords : num 157 111 163 176 100 124 201 100 76 101
$ NumofLivings : int 6 6 9 4 3 5 3 3 4 3 ...
$ NumofStopWords: num 77 45 87 91 46 64 104 37 32 41 ...
.
.
$ Group : Factor w/ 2 levels "Alzheimer","Control","Control"..:
So basically trainy should be data$Group but how about trainx? Could anyone help me in this?
Tha...
2017 Aug 23
0
cross validation in random forest using rfcv functin
...set.
Here is my data set and I want to do cross validation to see accuracy in classifying Alzheimer and Control Group:
str(data)
'data.frame': 499 obs. of 606 variables:
$ Gender : int 0 0 0 0 0 1 1 1 1 1 ...
$ NumOfWords : num 157 111 163 176 100 124 201 100 76 101
$ NumofLivings : int 6 6 9 4 3 5 3 3 4 3 ...
$ NumofStopWords: num 77 45 87 91 46 64 104 37 32 41 ...
.
.
$ Group : Factor w/ 2 levels "Alzheimer","Control","Control"..:
So basically trainy should be data$Group but how about trainx? Could anyone help me in this?...