Comments (1)
we've implemented lift curve: https://sklearn-evaluation.ploomber.io/en/latest/api/plot.html#lift-curve
from sklearn-evaluation.
Related Issues (20)
- classification report plot HOT 2
- confusion matrix compare plots improvement HOT 2
- add a tutorial on feature selection HOT 5
- add missing html_meta to every .md/.rst document HOT 3
- Visualisations to facilitate model ensembling HOT 1
- add jupyterbook-like intro page
- replace functional calls in random_forest_classifier_grid HOT 3
- improving interactive confusion matrix by allowing comparison
- fixing colors in interactive confusion matrix
- re-add examples/ to CI HOT 4
- License should be updated to Apache 2
- docs building and CI taking too long HOT 9
- document upsert_append HOT 2
- [Feature] Threshholds in Precision-Recall Multiclass Curve HOT 10
- update documenation logo
- broken docs building
- broken CI
- doc section broken HOT 2
- unhashable type: 'dict' HOT 1
- [ENH:] Cumulative Gain Chart: Allow single line version
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sklearn-evaluation.