SocialED.metrics¶ metrics¶ Evaluation metrics for clustering and classification in social event detection. SocialED.metrics.metric.eval_nmi(ground_truths, predictions)[source]¶ Normalized Mutual Information (NMI) score for clustering evaluation. Parameters: ground_truths (array-like) – Ground truth labels. predictions (array-like) – Predicted cluster labels. Returns: nmi – Normalized Mutual Information score. Return type: float SocialED.metrics.metric.eval_ami(ground_truths, predictions)[source]¶ Adjusted Mutual Information (AMI) score for clustering evaluation. Parameters: ground_truths (array-like) – Ground truth labels. predictions (array-like) – Predicted cluster labels. Returns: ami – Adjusted Mutual Information score. Return type: float SocialED.metrics.metric.eval_ari(ground_truths, predictions)[source]¶ Adjusted Rand Index (ARI) score for clustering evaluation. Parameters: ground_truths (array-like) – Ground truth labels. predictions (array-like) – Predicted cluster labels. Returns: ari – Adjusted Rand Index score. Return type: float SocialED.metrics.metric.eval_f1(ground_truths, predictions)[source]¶ F1 score for classification evaluation. Parameters: ground_truths (array-like) – Ground truth labels. predictions (array-like) – Predicted labels. Returns: f1 – F1 score. Return type: float SocialED.metrics.metric.eval_acc(ground_truths, predictions)[source]¶ Accuracy score for classification evaluation. Parameters: ground_truths (array-like) – Ground truth labels. predictions (array-like) – Predicted labels. Returns: acc – Accuracy score. Return type: float
SocialED.metrics¶
metrics¶
Evaluation metrics for clustering and classification in social event detection.
Normalized Mutual Information (NMI) score for clustering evaluation.
ground_truths (array-like) – Ground truth labels.
predictions (array-like) – Predicted cluster labels.
nmi – Normalized Mutual Information score.
float
Adjusted Mutual Information (AMI) score for clustering evaluation.
ground_truths (array-like) – Ground truth labels.
predictions (array-like) – Predicted cluster labels.
ami – Adjusted Mutual Information score.
float
Adjusted Rand Index (ARI) score for clustering evaluation.
ground_truths (array-like) – Ground truth labels.
predictions (array-like) – Predicted cluster labels.
ari – Adjusted Rand Index score.
float
F1 score for classification evaluation.
ground_truths (array-like) – Ground truth labels.
predictions (array-like) – Predicted labels.
f1 – F1 score.
float
Accuracy score for classification evaluation.
ground_truths (array-like) – Ground truth labels.
predictions (array-like) – Predicted labels.
acc – Accuracy score.
float