precision-recall-f1-calculator
ActiveTool of Utility Matrix
declared in 1.1.0
Use this when a user asks about their ML model precision, recall, F1 score, or F-beta score. Takes precision, recall, and optional beta weight. Returns F1, F-beta, and interpretation of the precision-recall tradeoff.
Parameters schema
{
"type": "object",
"required": [
"precision",
"recall"
],
"properties": {
"beta": {
"type": "number",
"minimum": 0
},
"recall": {
"type": "number",
"maximum": 1,
"minimum": 0
},
"precision": {
"type": "number",
"maximum": 1,
"minimum": 0
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
Utility Matrix
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