The Evaluation metrics given a specific precisionWindowLength.
Metrics for each label-match confidenceThreshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99.
This VideoActionMetrics is calculated based on this prediction window length. If the predicted action's timestamp is inside the time window whose center is the ground truth action's timestamp with this specific length, the prediction result is treated as a true positive.
A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".
meanAveragePrecisionnumber
The mean average precision.
| JSON representation |
|---|
{
"confidenceMetrics": [
{
object ( |
ConfidenceMetrics
Metrics for a single confidence threshold.
confidenceThresholdnumber
Output only. The confidence threshold value used to compute the metrics.
recallnumber
Output only. Recall for the given confidence threshold.
precisionnumber
Output only. Precision for the given confidence threshold.
f1Scorenumber
Output only. The harmonic mean of recall and precision.
| JSON representation |
|---|
{ "confidenceThreshold": number, "recall": number, "precision": number, "f1Score": number } |