[R] KNN

[Alnazer Elbedairy]

Dear Jim
thanks you for your kind help.
KNN - is K- Nearest Neighbor, is a technique used in Machine Learning.
attached you will find a CSV file dataset, my question is :
use the attached Dataset, Use majority guessing technique to evaluate KNN ?
this is the solution I came up with, but I didn't work :-
majorityGuessing <- function(trainingData,categories)
{GuessMPG <- sample(1:length (categories-1, nrow(testingData),replace=T)
return(GuessMPG)



On Wed, Feb 24, 2016 at 8:18 PM, Jim Lemon <drjimlemon at gmail.com> wrote:

> Hi Alnazar,
> I looked at your question yesterday and was unable to find what a
> "majority guessing" function is. I think it may be related to the
> "Pandemonium" model of decision making, but that doesn't get me very
> far. Could you give us a hint as to what this function is?
>
>
>
On Wed, Feb 24, 2016 at 8:18 PM, Jim Lemon <drjimlemon at gmail.com> wrote:

> Hi Alnazar,
> I looked at your question yesterday and was unable to find what a
> "majority guessing" function is. I think it may be related to the
> "Pandemonium" model of decision making, but that doesn't get me very
> far. Could you give us a hint as to what this function is?
>
> Jim
>
>
> On Wed, Feb 24, 2016 at 7:02 AM, Alnazer <alnazer.elbedairy at gmail.com>
> wrote:
> > How I can use majority guessing function to evaluate KNN, if I have data
> saved in CSV file
> >
> > Alnazer Elbedairy
> >
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