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Machine learning evaluation metrics
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From Wikipedia, the free encyclopedia
v
t
e
Machine learning
evaluation metrics
Regression
MSE
MAE
sMAPE
MAPE
MASE
MSPE
RMS
RMSE/RMSD
R
2
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
Dunn index
Hopkins statistic
Jaccard index
Rand index
Similarity measure
SMC
SimHash
Ranking
MRR
NDCG
AP
Computer Vision
PSNR
SSIM
IoU
NLP
Perplexity
BLEU
Deep Learning Related Metrics
Inception score
FID
Recommender system
Coverage
Intra-list Similarity
Similarity
Cosine similarity
Euclidean distance
Pearson correlation coefficient
Confusion matrix
Category
:
Artificial intelligence templates