[Recommendation system] common evaluation indicators NDCG, HR, Recall, MRR analysis - Code World

[Recommendation system] common evaluation indicators NDCG, HR, Recall, MRR analysis

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[Recommendation system] common evaluation indicators NDCG, HR, Recall, MRR analysis

Commonly used evaluation indicators for deep learning (Accuracy, Recall, Precision, HR, F1 score, MAP, MRR, NDCG) - recommendation system

Recommended evaluation indicators commonly used in the system: HR, NDCG, MRR

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Commonly used evaluation indicators for knowledge maps: MRR, MR, HITS@K, Recall@K, Precision@K

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Understand the evaluation indicators NDCG (CG, DCG, IDCG) in the recommendation system

Understand the evaluation indicators NDCG (CG, DCG, IDCG) in the recommendation system

Understand the evaluation indicators NDCG (CG, DCG, IDCG) in the recommendation system

In recommendation systems, commonly used evaluation indicators are as follows:

Recommendation system evaluation method

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Classification evaluation indicators in simple machine learning evaluation indicators (acc, recall, precision, F1, fusion matrix,

推荐系统-排序算法：常用评价指标：NDCG、MAP、MRR、HR、ILS、ROC、AUC、F1等

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Common evaluation indicators related to machine learning

Summary of common evaluation indicators for machine learning

Common Evaluation Indicators for Computer Vision Models

Common evaluation indicators for target detection and their calculation methods

Рекомендуемые индикаторы оценки, обычно используемые в системе: HR, NDCG, MRR

Concepts and indicators used to evaluate the recommendation system

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sklearn classifier evaluation indicators (precision rate, confusion matrix, precious-recall-Fmeasur, ROC curve, loss function)

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5.2 Evaluation indicators of the classifier—accuracy, precision, recall, F1, Fβ, AUC and ROC

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