
When you need a classification algorithm, reach out to us. We generate models to classify outcomes, such as purchase vs. no-purchase, within days of receiving your data.
We currently offer logistic regression and classification tree algorithms.

All our algorithms come with box plots and distribution metrics that underlie the features that enter the models.
Examples
The image gives an example of how one of our logistic regression models captures the percent of events over the test data by vigintile. This model captured 83.75% of all the events in 5% of the scored file.
The image is an example of a classification tree. There is no need to manually code the tree logic to implement this model. We provide tree path text that can easily by transformed into script and hence production.
We also provide our clients with precision vs. recall (TPR) thresholds.
Logistic Regression Models
Predict probabilities of binary outcomes
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Ideal for yes/no outcomes: purchase decisions, customer churn, fraud detection
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Produces interpretable coefficients and performance metrics (Precision, Recall, F1 Score)
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Easy to deploy and monitor over time
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Supports business-friendly decisions backed by hard data
Classification Trees
Visual, intuitive models for decision-making
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Breaks down complex decisions into clear yes/no paths
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Offers insights into which variables matter most
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Excellent for non-technical audiences who want transparency
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Fast to build, easy to explain, and simple to implement
Custom Model Development
Tailored solutions for unique business cases
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We build hybrid or industry-specific models
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Rapid model turnaround—days, not months
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We work with your data team or independently
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Industries: Healthcare, Oil & Gas, Banking, Retail, and more
Industry Experience
Club membership programs
Healthcare
Veterinary Care
Banking — Payment Processing
Financial Services
(Mortgages and Insurance)
Home Video

In Healthcare, we may want to know the probability a patient will develop a disease or respond positively to a treatment based upon their physiological metrics.

In Oil exploration, we can predict the likelihood of a drill site producing oil based on geological samples and radar imaging measurements.

In banking, we can predict the likelihood of default.


How
We
Work

Data Review
We analyze your data structure and objectives.

Model Design
We choose the best algorithm(s) for your use case.

Model Build & Delivery
Get production-ready models in days, not months.

Support & Optimization
Post-delivery support and performance tuning as needed.


Why Choose Us?
Years of modeling and economic analysis experience
Models that are easy to interpret and implement
Fast delivery—many projects completed within 5 business days



Transparent metrics and clear success tracking
No black-box solutions—
everything is explainable


Michael E Seidel, M.Sc.(Econ), CFA
Proprietor & Chief Data Scientist
818-517-6928
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