List: Performance Evaluation | Curated by Yoshiyuki Igarashi

Feb 28, 2024
26 stories
Performance Evaluation
In
TDS Archive
by
David Hundley
A High Level Guide to LLM Evaluation MetricsDeveloping an understanding of a variety of LLM benchmarks & scores, including an intuition of when they may be of value for your purpose
Feb 27, 2024
4
Feb 27, 2024
4
In
TDS Archive
by
Michał Oleszak
Evaluating Large Language ModelsHow do you know how good your LLM is? A complete guide.
Jan 14, 2024
3
Jan 14, 2024
3
In
TDS Archive
by
Louis Chan
SHAP: Explain Any Machine Learning Model in PythonYour Comprehensive Guide to SHAP, TreeSHAP, and DeepSHAP
Jan 11, 2023
3
Jan 11, 2023
3
In
TDS Archive
by
Bex T.
A Complete SHAP Tutorial: How to Explain Any Black-box ML Model in PythonExplain any black-box model to non-technical people
Oct 11, 2022
6
Oct 11, 2022
6
In
TDS Archive
by
Avi Chawla
The Mindset Technique to Understand Precision and Recall Like Never BeforePrecision and Recall elaborated with sample situations
Sep 26, 2022
3
Sep 26, 2022
3
In
TDS Archive
by
David Sweenor
The Art of The AI KPICreating a KPI Game Plan
Sep 13, 2022
Sep 13, 2022
In
TDS Archive
by
Peter Barrett Bryan
You deserve a better ROC curveExtract deeper insights with ROC threshold visualization
Nov 27, 2022
5
Nov 27, 2022
5
Dennis T
Confusion Matrix VisualizationHow to add a label and percentage to a confusion matrix plotted using a Seaborn heatmap. Plus some additional options.
Jul 25, 2019
16
Jul 25, 2019
16
In
TDS Archive
by
Mateusz Bednarski
Metrics are not enough — you need behavioral tests for NLPTrack systematic issues with your model by behavioral tests.
Sep 12, 2022
2
Sep 12, 2022
2
Doğacan Toka
Applied Data Science to Oobeya Git-Work MetricsOobeya is a new engineering management platform that helps tech leaders hear the symptoms of the software development life cycle with…
Jul 23, 2022
Jul 23, 2022
Sik-Ho Tsang
Review — A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained ClassificationSemi-Supervised Learning Realistic Evaluation
Jun 24, 2022
Jun 24, 2022
In
TDS Archive
by
Marco Cerliani
SHAP for Feature Selection and HyperParameter Tuning
Jun 8, 2021
Jun 8, 2021
Anushka Bajpai
15 Must-Know Plots in Data Science“When algorithms give you curves, use them intelligently!”
May 20, 2022
12
May 20, 2022
12
Ali S
Stop using random forest feature importances. Take this intuitive approach insteadA more accurate and intuitive alternative to random forest feature importances
Feb 25, 2022
19
Feb 25, 2022
19
In
TDS Archive
by
The PyCoach
How to Make Basic Visualizations in Python without CodingUse Mitosheet to create visualizations with a couple of clicks
Jan 29, 2022
1
Jan 29, 2022
1
In
TDS Archive
by
Michael Berk
How to Find Weaknesses in your Machine Learning ModelsA possible implementation of IBM’s FreaAI
Jan 19, 2022
3
Jan 19, 2022
3
In
TDS Archive
by
Leihua Ye, PhD
Multiple Comparison: A Common Pitfall for A/B TestingData Scientists are cool!
Jan 21, 2022
2
Jan 21, 2022
2
In
TDS Archive
by
Seungjun (Josh) Kim
Explainable AI (XAI) Methods Part 1 — Partial Dependence Plot (PDP)Primer on Partial Dependence Plot, its advantages and disadvantages, how to make use and interpret it
Dec 25, 2021
2
Dec 25, 2021
2
In
TDS Archive
by
TDS Editors
How Data Scientists Deal with the UnknownOur weekly selection of must-read Editors’ Picks and original features
Dec 16, 2021
1
Dec 16, 2021
1
In
TDS Archive
by
Michael Berk
How to Find Weaknesses in your Machine Learning ModelsFreaAI: a new method from researchers at IBM
Aug 31, 2021
6
Aug 31, 2021
6