This project is to create deep learning models for log anomaly detection. The following are the results of deep learning models I implemented for this purpose, tested on the HDFS dataset from LogHub:
Unsupervised Models:
- RNN-seq2seq model - f1 score: 0.6197
- LDA, Stacked Denoising Autoencoder - f1 score: 0.7101