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Table 4 Comparison with other outlier detection algorithm

From: Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method

Study

Model

Dataset

Performance

Pankaj Malhotra at al. 2016 [49]

SAE-C

ECG5000

Acc 0.934

Gilles Vandewiele at al. 2019 [50]

GENDIS

ECG5000

Acc 0.94

Joao Pereira at al. 2019 [51]

F-t ALSTM-FCN

ECG5000

Acc 0.9496

Proposed Model

LSTM-AE with Ensemble Method

Indoor Environment data

Acc 0.9766