# XWUIChartPrecisionRecall

XWUIChartPrecisionRecall wraps XWUIChart with the chart `type` fixed to `'precisionRecall'`, plotting one or more `{series}` as precision-recall curves for evaluating classifier performance. Use it when you want to compare how models trade precision against recall across thresholds, especially on imbalanced datasets. Configure it with `block` (1-4, clamped) to pick the variant layout and `size` (`sm`, `md`, or `lg`) to set the dimensions.

## Basic Usage

This example plots two series (Series A and Series B, six points each) at medium size as precision-recall curves for comparison.

```example
file: examples/BasicUsage.ts
html: examples/BasicUsage.html
title: Basic Usage
description: Two six-point series (Series A and Series B) drawn as precision-recall curves at medium size.
```

## Fraud Model Comparison

Three production fraud classifiers overlaid so their precision/recall trade-offs can be ranked at a glance.

```example
file: examples/FraudModelComparison.ts
html: examples/FraudModelComparison.html
title: Fraud Model Comparison
description: Gradient-boost, random-forest, and logistic models compared as precision-recall curves, large with interactive markers.
```

## Screening Threshold Sweep

A single tumor-screening model swept across decision thresholds, with the clinically acceptable precision band shaded.

```example
file: examples/ScreeningThreshold.ts
html: examples/ScreeningThreshold.html
title: Screening Threshold Sweep
description: One CNN classifier's operating curve with labeled thresholds and a shaded minimum-precision region annotation.
```

```api
```