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
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
Hi Alnazer,
I'm not surprised that it didn't do what you expected. Even if I clean
up the code so that it will actually run:
majorityGuessing<-function(trainingData,categories) {
GuessMPG<-sample(1:length(categories),nrow(trainingData),replace=TRUE)
return(GuessMPG)
}
and call it like this (assuming that you are trying to do something
like guessing MPG from the number of cylinders):
auto<-read.csv("auto.csv")
majorityGuessing(auto$MPG,unique(auto$CYLINDERS))
the result is just a sample of 398 integers ranging from 1 to 5, which
is not even a guess. Unfortunately, I can't work out what metric you
want to select "nearest neighbors", but perhaps someone else can.
Jim
On Thu, Feb 25, 2016 at 5:30 PM, Alnazer Elbedairy
<alnazer.elbedairy at gmail.com> wrote:> 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
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide
>> > http://www.R-project.org/posting-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>
>
Perhaps Alnazer is trying to implement "majority vote" kNN:>From Wikipedia(https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm): In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor. But as Jim said, your function does not do this. It does not even run kNN. ------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77840-4352 -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jim Lemon Sent: Thursday, February 25, 2016 4:15 AM To: Alnazer Elbedairy Cc: r-help mailing list Subject: Re: [R] KNN Hi Alnazer, I'm not surprised that it didn't do what you expected. Even if I clean up the code so that it will actually run: majorityGuessing<-function(trainingData,categories) { GuessMPG<-sample(1:length(categories),nrow(trainingData),replace=TRUE) return(GuessMPG) } and call it like this (assuming that you are trying to do something like guessing MPG from the number of cylinders): auto<-read.csv("auto.csv") majorityGuessing(auto$MPG,unique(auto$CYLINDERS)) the result is just a sample of 398 integers ranging from 1 to 5, which is not even a guess. Unfortunately, I can't work out what metric you want to select "nearest neighbors", but perhaps someone else can. Jim On Thu, Feb 25, 2016 at 5:30 PM, Alnazer Elbedairy <alnazer.elbedairy at gmail.com> wrote:> 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 >> > >> > ______________________________________________ >> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. > >______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Appreciated Jim. Alnazer Elbedairy> On Feb 25, 2016, at 4:15 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > > Hi Alnazer, > I'm not surprised that it didn't do what you expected. Even if I clean > up the code so that it will actually run: > > majorityGuessing<-function(trainingData,categories) { > GuessMPG<-sample(1:length(categories),nrow(trainingData),replace=TRUE) > return(GuessMPG) > } > > and call it like this (assuming that you are trying to do something > like guessing MPG from the number of cylinders): > > auto<-read.csv("auto.csv") > majorityGuessing(auto$MPG,unique(auto$CYLINDERS)) > > the result is just a sample of 398 integers ranging from 1 to 5, which > is not even a guess. Unfortunately, I can't work out what metric you > want to select "nearest neighbors", but perhaps someone else can. > > Jim > > On Thu, Feb 25, 2016 at 5:30 PM, Alnazer Elbedairy > <alnazer.elbedairy at gmail.com> wrote: >> 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 >>>> >>>> ______________________________________________ >>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>> PLEASE do read the posting guide >>>> http://www.R-project.org/posting-guide.html >>>> and provide commented, minimal, self-contained, reproducible code. >> >>[[alternative HTML version deleted]]