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Konstantinos Chlouverakis
  • Seattle, WA
  • United States
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Konstantinos Chlouverakis's Discussions

Binary classification with no training set

Started this discussion. Last reply by Ghaleb Abdulla Mar 20, 2014. 2 Replies

Hi guys,I have this question. I have a dataset with unique IDs (people).Each one has some attributes. I want to classify them to good and bad customers.Since I donot have a training set (i.e. having…Continue

Tags: classification, Binary

 

Konstantinos Chlouverakis's Page

Profile Information

Company:
Accenture
Seniority:
Manager
Job Function:
Business Analytics, Predictive Modeling, Econometrics, Statistical Consulting
Industry:
Consulting
Short Bio:
PhD in Physics and MBA from MIT Sloan, currently working as a Manager/Lead Data Scientist at Accenture, US
Interests:
Networking

Konstantinos Chlouverakis's Blog

Question on Regression

Posted on December 20, 2014 at 10:52am 3 Comments

Hi team,

I am facing a simple problem and trying to find the optimum solution:

Y(cont) = x1(cat) + x2(cat) +x3(cat) + x4(cat) + x5(cont)

Where: cat = categorical and cont = continuous.My categorical variables have 100 classes.

So my Y is cont and 4/5 Xs are categorical. What is the optimum approach? ANOVA? For ANOVA I think that would be true only when ALL of my Xs were categorical. If I simply apply a linear regression, then I…

Continue

Binary Classification with no training set

Posted on March 16, 2014 at 5:43pm 0 Comments

Hi guys,

I have this question. I have a dataset with unique IDs (people).

Each one has some attributes. I want to classify them to good and bad customers.

Since I donot have a training set (i.e. having for some IDs their score 0 or 1), how can I classify them to 2 groups?

I understand that regression (logistic for example) cannot take place since I donot have a dependent variable.

One solution could be clustering for example and have only 2…

Continue

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