Skip to main content

Ctrl+K

Deploy AI apps for free on Ploomber Cloud!

Introduction

Quick Start

Classification
Regression
Clustering

Classification

Evaluation
Comparison
Optimization
Experiment tracking
Report generation
Evaluating class imbalance
Probability Calibration
Report: Evaluation
Report: Comparison
Interactive Confusion Matrix
Micro and Macro Averaging

Regression

Evaluate Regression

Clustering

Optimal number of clusters

Model comparison

Experiment tracking
Real-time tracking
Notebooks as experiments
Querying notebooks with SQL

Model optimization

Feature Ranking
Feature Selection
Underfitting and Overfitting

Dimensionality Reduction

Principal Component Analysis

API Reference

sklearn_evaluation.plot
sklearn_evaluation.table
sklearn_evaluation.grid
ClassifierEvaluator
Training
Experiment tracking
Notebooks

Reference

Functional vs OOP
Advanced usage using matplotlib
Other projects
Community
Developer guide
Developer API

Repository
Open issue

.md

Introduction

Contents

Installation
Quick start

Introduction#

Installation#

pip install sklearn-evaluation

Quick start#

Classification
Regression
Clustering

next

Classification

Contents

Installation
Quick start

By Ploomber

© Copyright 2023.