Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol [PDF]
, 2021 Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics used to compare performances are F1-score, AUC and AVPR. In this paper, we show that F1-score and AVPR are highly sensitive to the contamination rate.
Damien Fourure +3 more
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F1-score for the cabinets-based taxonomy models.
, 2022 F1-score for the cabinets-based taxonomy models.
Magna Inácio (6141029) +3 more
core +1 more source
F1-score for the Senate-based taxonomy models.
, 2022 F1-score for the Senate-based taxonomy models.
Magna Inácio (6141029) +3 more
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F1-score of extracting relational triples from sentences that contain different numbers of triples.
, 2022 F1-score of extracting relational triples from sentences that contain different numbers of triples.
Xiaoyin Wang (341450) +5 more
core +1 more source
Comparative Analysis of RF, SVR with Gaussian Kernel and LSTM for Predicting Loan Defaults [PDF]
Revista de Studii FinanciareThis investigation elucidates the paramount endeavour of predicting loan defaults, which is imperative for the efficacious management of financial risk and the overall stability of financial institutions. Conventional statistical methodologies frequently
Konstantinos Kofidis +1 more
doaj +1 more source
Benchmarking Low-Frequency Variant Calling With Long-Read Data on Mitochondrial DNA
Frontiers in Genetics, 2022 Background: Sequencing quality has improved over the last decade for long-reads, allowing for more accurate detection of somatic low-frequency variants. In this study, we used mixtures of mitochondrial samples with different haplogroups (i.e., a specific
Theresa Lüth +6 more
doaj +1 more source
F1-score Macro-Ave, Weighted-Avg, and Accuracy of N.
, 2023 F1-score Macro-Ave, Weighted-Avg, and Accuracy of N.
Bo Wang (86769) +3 more
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F1-score of the DEV_test and subsets of DEV (DEV_IOR) and EV datasets (EV_IOR) for IOR calculation.
, 2022 F1-score values (in percentage) are given for different combinations of classes. The numbers provided for DEV_test is the same as the numbers in Table 4. They are presented here again for easier comparison.
Doris Nicolakis (9749740) +5 more
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About Evaluation of F1 Score for RECENT Relation Extraction System
CoRR, 2023 This document contains a discussion of the F1 score evaluation used in the article 'Relation Classification with Entity Type Restriction' by Shengfei Lyu, Huanhuan Chen published on Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
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F1-score of prediction models by incorporating information from the last 3 days using the test set.
, 2023 F1-score of prediction models by incorporating information from the last 3 days using the test set.
Shazia Usmani (8684598) +1 more
core +1 more source