3 ms·
Traditional methods typically outperform DNNs on fixed numeric features. It’s very difficult to beat a GBDT in these scenarios, and the GBDT doesn’t have many
by lumost 4y ago
Traditional methods typically outperform DNNs on fixed numeric features. It’s very difficult to beat a GBDT in these scenarios, and the GBDT doesn’t have many hyper parameters and trains without specialized hardware.
If you add in ingratitudes data like text the situation changes.
- mountainriver 4y agoThis https://arxiv.org/pdf/2106.11959.pdf https://arxiv.org/pdf/2106.11959.pdf would say differently. It shows there isn't a goto architecture when compared to modern DL