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Data defines the model by dint of genetic programming, producing the best decile table.
GenIQ Articles: Analytic
Bruce Ratner, Ph.D.
A Data Mining Method for Moderating Outliers, Instead of Discarding Them
The Originative Statistical Regression Models: Are They Too Old and Untenable?
The Predictive Model: Its Reliability and Validity
Life-Time Value Modeling of Big-ticket Items
Validating the Logistic Regression Model: Try Bootstrapping
Regression Modeling Involves Art, Science, and Poetry Too
Re-Data-Mining Your Constantly-updated Database: A Criterion for Doing So
What Criteria Do You Use to Build a Model that Maximizes the Cum Lift?
What Criteria Do You Use to Determine the Best Model?
Top Five Statistical Modeling Problems: Nonissues for the Machine-learning GenIQ Model
Statistical vs. Machine-Learning Data Mining
CHAID-based Data Mining for Paired-Variable Assessment
The Missing Statistic in the Decile Table: The Confidence Interval
The Importance of Straight Data: Simplicity and Desirability for Good Model Building Practice
The Paradox of Overfitting
Building a Database Model to Outperform a Test Campaign
To Fit or Not to Fit Data to a Model
Assessing the Predictiveness of a Classification Model: Traditional vs. Modern Methods
Two-by-Two Classification and Decile Tables - A Comparison
Genetic vs. Statistic Regression Models - A Comparison
Your Customers are Talking: Are You Listening?
Is Not a Response-Model Tree a Response-Model Tree by Any Other Name?
Interpretation of Coefficient-free Models
Social Network Analysis, Social Media Data, and Text Mining to Boost Business Intelligence
Predictive Modeling Using Real-time Data
Data Mining Quiz - II
Data Mining Quiz
CHAID: Nine Inventive, Utile Applications Beyond Its Original Intent
Response-Approval Model: An Effective Approach for Implementation
Data Mining: Illustration of the Pythagorean Theorem
Stepwise is a Problematic Method for Variable Selection in Regression: Alternative Methods are Available
What If There Were No Significance Testing?
A Simple Method for Assessing Linear Trend and Seasonality Components in Database Models
Variable Selection Methods in Regression: Ignorable Problem, Outing Notable Solution
A New CRM Method for Identifying High-value Responders
CRM Segmentation for Targeted Marketing
Retain Best Customers and Maximize their Potential: A CRM Machine-learning Approach
A New CRM Method for Identifying High-value Responders
Predicting the Quality of Your Statistical Regression Models
Confusion Matrix: Perhaps Confusing, but Definitely Biased
What is the GenIQ Model?
Linear Probability, Logit, and Probit Models: How Do They Differ?
A Database Marketing Regression Model that Maximizes Cum Lift
A New Method of Modeling Missing Data: Deliverance of Discarded, Incomplete Cases
Predicting Share of Wallet without Survey Data
Variable Selection Methods in Regression: Many Statisticians Know Them, But Few Know They Produce Poorly Performing Models
Statistical Modelers and Data Miners: Variable Selection, Data Mining Paradigm, Optimal Decile Table, and more ...
The GenIQ Model: Data-defined, Data Mining, Variable Selection, and Decile Optimization
When Data Are Too Large to Handle in the Memory of Your Computer
How To Bootstrap
Data Mining: An Ill-defined Concept
HELP! I Need Somebody, Not Just Anybody ...
Do-It-Yourself Method for Finding the Square Root of 2
GenIQ: A Visual Introduction
Overfitting: Old Problem, New Solution
Genetic Data Mining: The Correlation Coefficient
Data Cleaning is Not Completed Until the “Noise” is Eliminated
How to Make the Best Credit Score Even Better
Multivariate Regression Trees: An Alternative Method
"Grand" words (1000) about the GenIQ Model.
Historical Notes on the Two Most Popular Prediction Models, and One Not-yet Popular Model
Real World Data are Dirty: Data Cleaning and the "Noise" Problem
GenIQ: For Modelers Who Daringly Consider a Different Model –
The Most Compelling Illustration of the GenIQ Model
A Most Compelling Illustration of the GenIQ Model
GenIQ Lets the Data Specify the Model
Data Mining Using Genetic Programming
GenIQ-enhanced Regression Model
GenIQ-enhanced/Data-reused Regression
GenIQ: Nonlinear Curve Fitter
GenIQ: OLS Curve Fitter
A Method for Moderating Outliers, Instead of Discarding Them
Building Statistical Regression Models: Straight Data are Necessary
Logistic Regression versus Machine Learning Regression
Ordinary Regression versus Machine Learning Regression
The GenIQ Model: FAQs
Interpreting Model Performance: Use the “Smart” Decile Analysis
Predictor Variable Importance: Multicollinearity is Not a Problem for a Genetic Regression Model
Dummy Variables: The Problem and Its Solution
Finding the Best Variables for Database Marketing Models
Decile Analysis Primer: Cum Lift for Response Model
Maximizing the Lift in Database Marketing
When Statistical Model Performance is Poor: Try Something New, and Try It Again
A Hybrid Statistics-Machine Learning Paradigm for Database Response Modeling
Tukey's Bulging Rule: Why Use It, and What to Do When It Fails
Tukey's Bulging Rule for Straightening Data
Modeling a Skewed Distribution with Many Zero Values
A New Jackknife Method: 3-in-1 Tool for Variable Selection, Data Mining and Model Building
A Genetic Model to Identify Titanic Survivors
Statistics versus Machine Learning: A Significant Difference for Database Response Modeling
The Genetic Programming Engine that Does: Data Specify the Model, Not Fit Data to a Model
GenIQ-Parkinson's Law: The GenIQ Model Expands to Fill the Time Available for Model Completion
Genetic Data Mining Method for the Proper Use of the Correlation Coefficient
A Genetic Imputation Method for Database Modeling
Missing Value Analysis: A Machine-learning Approach
A Genetic Logistic Regression Model: A Model-free Approach to Identifying Responders to a CRM Solicitation
Predictive Analytics Now Accessible to Excel Spreadsheet Users: GenIQ Model Software with an Excel Toolbar
An Alternative Response Model
Analysis and Modeling for Today's Data
Using the GenIQ Model to Insure the Validation of a Model is Unbiased
Gain of a Predictive Information Advantage: Data Mining via Evolution
Response-Approval Model: An Effective Approach for Implementation
Marketing Optimization Model: A Genetic Approach
Binary Logistic Regression: A Model-free Approach
Ordinal Logistic Regression: A Model-free Approach
Multinomial Logistic Regression: A Model-free Approach
Quantile Regression: Model-free Approach
Rethink The Regression Model: Think GenIQ Model
Building a CRM Model for Identifying Profitable Leads: The Genetic Contact-Profit Model
A New Method of Decile Analysis Optimization for Database Models
Multiple Catalog Mail Campaigns: Who Gets Mailed Next, and Which Catalog Should It Be?
Building and Solving Response Optimization Models with the GenIQ Model
Gaining Insights from Your Data: A Neoteric Machine Learning Method
Data Mining for the Desktop
Radically Distinctive Without Equal Predictive Model
Extracting Nonlinear Dependencies: An Easy, Automatic Method
Retail Revenue Optimization: Accounting for Profit-eating Markdowns
For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at
br@dmstat1.com
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