search for: numofstopwords

Displaying 3 results from an estimated 3 matches for "numofstopwords".

2017 Aug 23
1
cross validation in random forest using rfcv functin
...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? Thanks for any help! Elahe
2017 Aug 23
2
cross validation in random forest rfcv functin
...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? Thanks for any help! Elahe
2017 Aug 23
0
cross validation in random forest using rfcv functin
...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? Thanks for any help! Elahe ______________________...