Lite Demo

v t e Machine learning evaluation metrics
Regression	MSE MAE sMAPE MAPE MASE MSPE RMS RMSE/RMSD R² MDA MAD
Classification	F-score P4 Accuracy Precision Recall Kappa MCC AUC ROC Sensitivity and specificity Logarithmic loss
Clustering	Silhouette Calinski–Harabasz index Davies–Bouldin index Dunn index Hopkins statistic Jaccard index Rand index Similarity measure SMC DBCV index
Ranking	MRR NDCG AP
Computer vision	PSNR SSIM IoU
NLP	Perplexity BLEU
Deep learning	Inception score FID
Recommender system	Coverage Intra-list similarity
Similarity	Cosine similarity Euclidean distance Pearson correlation coefficient
Confusion matrix

Template:Machine learning evaluation metrics Source: en.wikipedia.org/wiki/Template:Machine_learning_evaluation_metrics