Table 2 Performance evaluation of the proposed model showing precision, recall, and F1-scores for emotion classification.

From: Computer intelligence based model for mental health detection among Indian farming communities

Emotion/Metric

Precision

Recall

F1-score

Support

Anger

0.9802

0.9900

0.9851

100.0000

Astonishment

0.9809

0.9800

0.9849

100.0000

Disgust

0.9900

0.9900

0.9900

100.0000

Fear

0.9800

0.9800

0.9800

100.0000

Happiness

0.9901

1.0000

0.9950

100.0000

Neutral

0.9900

0.9900

0.9900

100.0000

Sadness

0.9899

0.9800

0.9849

100.0000

Accuracy

0.9871

0.9871

0.9871

0.9871

Macro avg

0.9872

0.9871

0.9871

700.0000

Weighted avg

0.9872

0.9871

0.9871

700.0000

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