Overview
The Precision-Recall Curve Binary Chart is a graphical representation commonly used in machine learning to evaluate the performance of binary classification models. It plots precision against recall at various thresholds, where precision measures the accuracy of positive predictions and recall measures the ability of the model to identify all relevant instances. This curve helps assess the trade-off between precision and recall, providing insights into the model's effectiveness across different decision thresholds.
Chart's configurations
Height
- Default Value: 500 pixels
- Description: Provide a specific height value for the chart. Only integer values are allowed, and this will help maintain the aspect ratio of the chart.
Show Legend
- Default Value: True
- Description: Refers to the option of displaying a key or legend on the chart. This legend provides information about the meaning of different colors, shapes, or symbols used in the chart, helping viewers interpret the data accurately. Enabling the
Show Legend
feature enhances the clarity and understanding of the chart, making it easier for the audience to associate visual elements with specific categories or data points.
X-axis Grid
- Default Value: True
- Description: The
X-axis grid
consists of horizontal lines on the chart, providing a visual reference for data points along theX-axis
.
Y-axis Grid
- Default Value: True
- Description: The
Y-axis grid
comprises vertical lines on the chart, offering a visual guide for data points along theY-axis
.
Chart Title
- Max Length: 80 characters
- Default Value: None
- Description: The chart title is the headline of your data story. It succinctly describes the main theme or purpose of the chart, providing a quick overview of the insights presented.
- Note: You can use the tag
{{None}}
to display nothing.
- Note: You can use the tag
X-axis Title
- Max Length: 80 characters
- Default Value: None
- Description: The
X-axis title
labels the horizontal axis of your chart, providing context for the variable or time scale represented. It serves as a key reference point for understanding the data along theX-axis
.- Note: You can use the tag
{{None}}
to display nothing.
- Note: You can use the tag
Y-axis Title
- Max Length: 80 characters
- Default Value: None
- Description: The
Y-axis title
labels the vertical axis of your chart, indicating the scale or measurement of the displayed data. It serves as a key reference point for understanding the data along theY-axis
.- Note: You can use the tag
{{None}}
to display nothing.
- Note: You can use the tag
Trace Title
- Max Length: 80 characters
- Default Value: None
- Description: The
trace title
is a label that identifies individual traces in your chart, such as lines, bars, or points. It helps differentiate between multiple data series, providing clarity and context.- Note: You can use the tag
{{None}}
to display nothing.
- Note: You can use the tag
Paper Color
- Default Value: #FFFFFF
- Description: The
paper color
refers to the background color of your paper of chart. It sets the overall visual tone and can impact the readability of your data.
Plot Color
- Default Value: #e2edff
- Description: The
plot color
defines the color scheme used for the main elements within the chart. Thoughtful selection of plot colors enhances visual appeal and aids in conveying information effectively.
Font Color
- Default Value: #000
- Description: The
font color
refers to the color of the text within your chart, including titles, labels, and annotations. Selecting an appropriate font color is essential for readability and ensuring that the text stands out against the background.
X-axis Grid Color
- Default Value: #C2C2C2
- Description: The
X-axis grid color
refers to the color of the horizontal grid lines on the chart. It provides a visual reference for data points along theX-axis
, aiding in interpretation.
Y-axis Grid Color
- Default Value: #C2C2C2
- Description: The
Y-axis grid color
pertains to the color of the vertical grid lines on the chart. It serves as a visual guide, aiding in the interpretation of data points along theY-axis
.