SPSS Modeler a special gift in fields of mining
November 08, 2016
SPSS Modeler a special gift in fields of mining
Score 8 out of 10
Vetted Review
Verified User
Modules Used
- IBM SPSS Modeler
Overall Satisfaction with IBM SPSS
I used IBM SPSS during curriculum. I preferred using SPSS for data cleaning, predictive modelling and statistical analysis. IBM was used by department of university fro Data Mining. We handled many problem using the software most of them were from Kaggle.
- Broad range of statistical models : Sometimes you will have a general idea, but often the statistical model will change as you start examining your data. Or you will want to run an alternate analysis as a quality check for the originally planned analysis. IBM SPSS offers a broad range of highly flexible statistical models: most notably the general linear model and a variety of logistic regression models.
- Graphical interface with select and drop functionality: Before you start your data analysis, you need to understand how your data behaves. This is best done graphically. IBM SPSS provides scatterplots, boxplots, and histograms that help you to see patterns in your data. You shouldn't publish findings based solely on an intuitive interpretation of graphics, of course.
- Better output organization: IBM SPSS provides a broad range of data documentation (especially value labels) that will help you to ensure consistency in your data entry.
- SPSS modeler should include functionality where user can build their own models similar to R apart from using regular models.
- IBM SPSS educated me on models operations and also solved many problems.
- Spreadsheet software
Graphics within SPSS provide you with a general framework for understanding your data, so that you will be better able to interpret the complex inferential procedures that follow.