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Get started

Get started with precrec

How-to

Prepare your data

Average over several test sets

Evaluate cross-validation folds

Evaluate more than two classes

Work with large datasets

Get the numbers out

Balanced and imbalanced data

Use precrec with tidymodels

Coming from pROC or ROCR

Compare and decide

Compare several models

Uncertainty from one test set

Choose an operating point

Classification report

Metrics

Metrics overview

Confusion-matrix rates

Agreement and balance

Ranking and cost

AUC and other curve summaries

Probability-based metrics

Comparison with other tools

Plots

Plots overview

ROC and precision-recall curves

Basic metric plots

One metric against another

Confidence bands

Partial curves

Customizing plots