Create Model Calibration Plot Generator from experimental or research data
Create a model calibration plot or reliability diagram from observed outcomes and predicted probabilities, with probability bins and a perfect-calibration reference.

Explore six ready-to-use datasets and visual styles for real research scenarios.
Create a model calibration plot or reliability diagram from observed outcomes and predicted probabilities, with probability bins and a perfect-calibration reference. Model Calibration Plot Generator converts structured research data into a clear visual pattern for comparing values, distributions, relationships, or changes. The first figure is generated from your uploaded file and remains editable in SciVis.
Choose an example or upload one CSV, TSV, TXT, XLSX, or XLS file, check the detected columns, generate the chart, and continue editing it in SciVis. For Excel files, the first worksheet is imported.
Yes. You can start with the six included datasets and use available free credits to generate a chart with Model Calibration Plot Generator.
Model Calibration Plot Generator accepts one CSV, TSV, TXT, XLSX, or XLS file at a time. Excel files use the first worksheet, and every page also includes prepared sample datasets.
Yes. Open the figure generated with Model Calibration Plot Generator in SciVis to change labels, colors, annotations, layout, and other visual settings.
Yes. Model Calibration Plot Generator is designed to produce clean, publication-ready scientific figures. Always verify values and journal requirements before submission.
Yes. After editing a Model Calibration Plot Generator figure in SciVis, you can export it in formats suitable for papers, posters, slides, and reports.
No. Model Calibration Plot Generator creates the first version through a guided upload workflow, while SciVis provides visual controls for refinements.

Use Histogram Maker with CSV or Excel data. Python renders the chart; refine labels, styling, and export in SciVis.
Try it free
Use Box Plot Maker with CSV or Excel data. Python renders the chart; refine labels, styling, and export in SciVis.
Try it free
Use Violin Plot Maker with CSV or Excel data. Python renders the chart; refine labels, styling, and export in SciVis.
Try it freeStart with sample data or upload one supported data file, then finish the figure in SciVis.
Drag a data file here, or click to upload
CSV, TSV, TXT, Excel · Max 5MB
Preview
ExampleThis preview uses the selected sample dataset. Generate it with Python, or upload your own data to create a new chart.