What will be the suitable model for predicting a binominal class

Question

Hi, a quick questions for the data models selection, I’ve got a dataset with around 100 attributes and a class label with binomial value (1 or 0). Could anyone give some suggestion of what type of data mining model will be suitable for the prediction/score the data?  Many thanks!

Answer 1

Check AdventureWorks - I think it does this with a bit column "Bike Buyer" as I recall - try Decision Trees.

---

Doyle

Answer 2

 

In addition to Doyle's suggestion, Neural Networks works well with binomial value as well. But, since you have 100 input attributes, training the model might take longer that Decision tree. You might want to try both algorithms and see which one works better.

 

hth,

Rok

---

please remember to mark as answered if the post helped resolve the issue.

Answer 3

Decision tree - simple and easy to understand

Neural Networks - powerful but can be slow. Difficult to understand

Logistic regression - good algorithm that works faster than Neural Networks

Naive Bayes - quick and easy to understand

Clustering - quick and easy to understand

 

Create multiple models and compare their accuracy.

 

---

Tatyana Yakushev [PredixionSoftware.com]

Answer 4

Many thanks for the suggestions, I probably start with Logistric regression and Neural Network and compare their accuracy. cheers :)