Mixing
Factor analysis of a function with binary output
Clash Royale CLAN TAG#URR8PPP
up vote
0
down vote
favorite
I have a data set and I am interested in determining which factors of this data set contribute most to the output. The data set varies by multiple factors $X_1$, $X_2$, .... $X_n$, and the function produces an outcome $F$($X_1$,$X_2$,...$X_n$)=$1$ or $0$. $X_1$ and the other variables are typically limited to taking on 1-5 different values. However, these values are not numeric, they can sometimes be strings representing a location or something else. I am looking for a way to quantify which of the variables are most important in determining the outcome of the function.
I have tried assigning the values that each of the random factors $X_1$, $X_2$, .... $X_n$ can take to vectors, but a possible problem is the dimension of each random factor may differ. Is there anyway to determine the importance of these variables on the general function?
(by importance I mean something in the way of principal component analysis or sensitivity of the function to those factors)
functions optimization
asked Aug 6 at 2:58
Bruce Cunningham
12
add a comment |Â
up vote
0
down vote
favorite
I have a data set and I am interested in determining which factors of this data set contribute most to the output. The data set varies by multiple factors $X_1$, $X_2$, .... $X_n$, and the function produces an outcome $F$($X_1$,$X_2$,...$X_n$)=$1$ or $0$. $X_1$ and the other variables are typically limited to taking on 1-5 different values. However, these values are not numeric, they can sometimes be strings representing a location or something else. I am looking for a way to quantify which of the variables are most important in determining the outcome of the function.
I have tried assigning the values that each of the random factors $X_1$, $X_2$, .... $X_n$ can take to vectors, but a possible problem is the dimension of each random factor may differ. Is there anyway to determine the importance of these variables on the general function?
(by importance I mean something in the way of principal component analysis or sensitivity of the function to those factors)
functions optimization
asked Aug 6 at 2:58
Bruce Cunningham
12
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have a data set and I am interested in determining which factors of this data set contribute most to the output. The data set varies by multiple factors $X_1$, $X_2$, .... $X_n$, and the function produces an outcome $F$($X_1$,$X_2$,...$X_n$)=$1$ or $0$. $X_1$ and the other variables are typically limited to taking on 1-5 different values. However, these values are not numeric, they can sometimes be strings representing a location or something else. I am looking for a way to quantify which of the variables are most important in determining the outcome of the function.
I have tried assigning the values that each of the random factors $X_1$, $X_2$, .... $X_n$ can take to vectors, but a possible problem is the dimension of each random factor may differ. Is there anyway to determine the importance of these variables on the general function?
(by importance I mean something in the way of principal component analysis or sensitivity of the function to those factors)
functions optimization
asked Aug 6 at 2:58
Bruce Cunningham
12
I have a data set and I am interested in determining which factors of this data set contribute most to the output. The data set varies by multiple factors $X_1$, $X_2$, .... $X_n$, and the function produces an outcome $F$($X_1$,$X_2$,...$X_n$)=$1$ or $0$. $X_1$ and the other variables are typically limited to taking on 1-5 different values. However, these values are not numeric, they can sometimes be strings representing a location or something else. I am looking for a way to quantify which of the variables are most important in determining the outcome of the function.
I have tried assigning the values that each of the random factors $X_1$, $X_2$, .... $X_n$ can take to vectors, but a possible problem is the dimension of each random factor may differ. Is there anyway to determine the importance of these variables on the general function?
(by importance I mean something in the way of principal component analysis or sensitivity of the function to those factors)
functions optimization
asked Aug 6 at 2:58
Bruce Cunningham
12
edited Aug 6 at 5:29
asked Aug 6 at 2:58
Bruce Cunningham
12
asked Aug 6 at 2:58
Bruce Cunningham
12
asked Aug 6 at 2:58
Bruce Cunningham
12
12
add a comment |Â
add a comment |Â
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2873551%2ffactor-analysis-of-a-function-with-binary-output%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password