Toxic Comment Classification on Jigsaw Toxic Comment Classification
96AccuracyCoGate-LSTM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CoGate-LSTMFamily=Ours, Params (M)=7.3, Latency (ms)=48†2025.10 | 96 | 88.1 | 70 | |
| LSTM + weighted lossFamily=Deep2025.10 | 95.21 | 81.1 | 0 | |
| BERT Ensemble (most-conf.)Family=Deep, Params (M)=110.0, Latency (ms)=5202025.10 | 95.14 | 84.3 | — | |
| BiLSTM + GloVeFamily=Deep, Params (M)=6.2, Latency (ms)=122025.10 | 94.7 | 85.8 | 66 | |
| XGBoostFamily=Ensemble, Params (M)=4.45, Latency (ms)=3.52025.10 | 94.37 | 83.5 | 26 | |
| BERT (fine-tuned)Family=Deep, Params (M)=110.0, Latency (ms)=5202025.10 | 94.1 | 81.2 | 47 | |
| Logistic RegressionFamily=Classical, Params (M)=2.21, Latency (ms)=0.82025.10 | 93.64 | 78.9 | 10 | |
| Linear SVM (SGD)Family=Classical, Params (M)=3.31, Latency (ms)=1.22025.10 | 93.16 | 80.1 | 13 | |
| Naive Bayes SVMFamily=Classical, Params (M)=0.01, Latency (ms)=<12025.10 | 87.57 | 68.3 | — | |
| Random ForestFamily=Ensemble2025.10 | 76.85 | 81 | — |