Once we have the model we should evaluate its performance and tune it to improve its performance. If a data mining model is bad, it’s […]
Author: logort
Text Mining – Sample Analysis using LightSide
Here is highlight of the text mining process in a simple text classification experiment using LightSIDE. LightSide accepts the input data in the .csv format. […]
Components to effective Predictive Modeling
Predictive modeling involves finding good subsets of predictors or explanatory variables. Models that fit the data well are better than models that fit the data […]
Text Mining Overview
Text mining can be defined as the analysis of semi-structured or unstructured text data. The goal is to turn text information into numbers so that […]
Feature Engineering Introduction
When your goal is to get the best possible results from a predictive model, you need to get the most from what you have. This […]
Predictive Modeling Overview
The raw data doesn’t offer a lot of value in its unprocessed state. However, by applying the right set of tools, we can pull powerful […]
How to compute A’ or AUC without ROC curve?
A’ is the probability that if you give a model an example from each category, it will accurately identify which is which. It is the […]
Interpretation and analysis of Social Networks – Part 2
In continuation to my previous blog, here is the analysis of a blog and twitter sample network. Blog Degree: Degree distribution is right skewed. Median […]
Interpretation and analysis of Social Networks – Part 1
Given below is analysis of four simple networks. This analysis is an attempt to peek into the networks and make sense of their structure, the […]
Network Analytics Overview
Social Network is a representation of the relationship between various actors in a network. Actors could be people, groups, organizations, computers, Web sites or any […]
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