DTREG Predictive Modeling Software
Ease of use. DTREG is a robust application that is installed easily on any Windows system. DTREG reads Comma Separated Value (CSV) data files that are easily created from almost any data source. Once you create your data file, just feed it into DTREG, and let DTREG do all of the work of creating a decision tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses can be set up in minutes.
Classification and Regression Trees. DTREG can build Classification Trees where the target variable being predicted is categorical and Regression Trees where the target variable is continuous like income or sales volume.
OUR CLIENTS
Darin Brooks, MSc, College of the North Atlantic
Mar 11, 2015
M. Fatih Akay, associate professor, Computer Engineering Department, Cukurova University, Turkey
Jan 07, 2015
J. Anthony Stallins, University of Kentucky
Jan 07, 2015
Jacek Kluska, Professor, Computer and Control Engineering, Rzeszow University of Technology, Poland
Jan 07, 2015
Daniel Morillo, University of Cádiz, Spain
Jan 07, 2015
C.K. Chen, EdD., Director of Institutional Research, Meharry Medical College
Jan 07, 2015
Tetsuya Iidaka, M.D., Nagoya University
Jan 07, 2015
Rafik Baouche, University of Boumerdes, Algeria
Jan 07, 2015
Kevin Capone, Head of Energy Trading, Sierentz North America LLC
Jan 07, 2015
Pavel Brusilovskiy, Ph.D., Senior Specialist, Quantitative Sciences, Merck & Co.
Jan 07, 2015
Silvana Petrusheva, Associate Professor, Civil Engineering, Skopje, Macedonia
Jan 07, 2015
Shivakumar Raman, Northwestern University
Jan 07, 2015
Shengyu Wu, Ph.D., Director of Geosciences, C&C Reservoirs
Jan 07, 2015
K. T. Chen, Manger, Marketing Analytics, Mead Johnson Nutrition
Jan 07, 2015
Zou Lei, Nanyang Technological University, Singapore
Nov 21, 2014
S. Wu, Director of Geosciences, C&C Reservoirs
Nov 20, 2014
Tejas Mehta, Sr. Algorithm Engineer, Rapiscan Systems
Nov 20, 2014
SOLUTIONS
Predict Political Party Example
Task: Perform time series analysis to forecast airline passenger loads. A Gene Expression Programming model was built for a time series. This model was then used to forecast future passenger loads....
Boston Housing Cost Example
Task: Predict house values based on locale This is a regression tree example to predict the value of houses in various areas around Boston based on characteristics of the locale such as proximity to the Charles River and major highways, socioeconomic status, air pollution and other factors. The target variable is house value....
Landing Control Example
Task: Determine if it is better to use automatic or manual landing control This is a classification problem to decide whether it is better to use manual or automatic (autopilot) control when landing the space shuttle. The target variable has two categories, Automatic and Manual. The predictor variables include wind direction and velocity and visibility....
Liver Disorder Example
Task: Predict normal or abnormal liver condition This is a dataset from England that generates a classification tree to predict liver disorders. The target variable is liver condition (Normal or Abnormal). The predictor variables are various blood chemical measurements along with the number of alcoholic drinks consumed per day....
Iris Classification Example
Task: Classify species of iris based on plant measurements This is a classification problem dating back to 1936. Its originator, R. A. Fisher, developed the problem to test clustering analysis and other types of classification programs prior to the development of computerized decision tree generation programs. The dataset is small consisting of 150 records. T...
DTREG Benchmarks of Predictive Model Methods
All of these benchmarks are classification problems (i.e., the target variable is categorical). Some types of models work better with regression problems where t...