Stacking Ensemble With Dropout Regularization
jasonbrownlee.me/blog/posts/s...

Awesome AutoML Books
A curated list of books for engineers on development with Automated Machine Learning (#AutoML).
github.com/Jason2Brownl...

Awesome LLM Books
This is a curated list of books for engineers on development with Large Language Models (LLMs)
github.com/Jason2Brownl...

Is there evidence that model performance on train and test sets have the same distributions?

Use statistical tests to confirm general model performance distributions are equivalent.

Check Model Performance Distributions:
datasciencediagnostics.com/diagnostics/...

Is there evidence that your train and test sets have the same distributions?

Use statistical tests to confirm that numerical and categorical distributions are equivalent.

Train/Test Data Distributions:
datasciencediagnostics.com/diagnostics/...

Is there evidence that the Performance Gap is real or just statistical noise?

Carefully quantify the difference between train and test set performance.

Quantify the Performance Gap:
datasciencediagnostics.com/diagnostics/...

Data Science Diagnostics
Helpful checks for data scientists with urgent problems
DataScienceDiagnostics.com

#DataScience #MachineLearning

Are you sure your train/test split percentage is well chosen?

Common split percentages are just heuristics, it is better to know how your data/model behaves under different split scenarios.

Perform a split-size sensitivity analysis:
datasciencediagnostics.com/diagnostics/...

Data Science Diagnostic Checklist
(from 10+ years of consulting)
github.com/Jason2Brownl...

Use code BLACKFRIDAY for 30% off the "Python Concurrency Boxed Set": superfastpython.com/python-jump-...

XGBoost is all you need: XGBoosting.com