| Split Compound Words | Splits compound words into stems before processing. | Enable / Disable (default) | German language only. |
| None Intent | Creates a placeholder intent to reduce ML false positives. | Enable (default) / Disable | |
| Epochs | Training iterations for neural network. | 20–300 (increments of 10; default: 20) | MLP-BOW, MLP-WordEmbeddings, LSTM, CNN only. |
| Batch Size | Training samples per batch. | 10–30 (increments of 5; default: 10) | MLP-BOW, MLP-WordEmbeddings, LSTM, CNN only. |
| Learning Rate | Controls weight adjustment vs. loss gradient. | 1e-4 to 1e-3 (default: 1e-3) | MLP-BOW, MLP-WordEmbeddings, LSTM, CNN only. |
| Dropout | Regularization to prevent overfitting. | 0–0.8 (increments of 0.1; default: 0) | MLP-BOW, MLP-WordEmbeddings, LSTM, CNN only. |
| Vectorizer | Feature extraction technique. | count (default) / tfidf | MLP-BOW only. |
| Maximum Sequence Length | Length of training samples / user input. | 10–30 (increments of 5; default: 20) | MLP-WordEmbeddings, LSTM, CNN only. |
| Embeddings Type | Feature extraction method. | generated / random (default) | MLP-WordEmbeddings, LSTM, CNN only. |
| Embeddings Dimensions | Dimensions used in featurization. | 100–400 (increments of 50; default: 300) | MLP-WordEmbeddings, LSTM, CNN only. |
| K Fold | K parameter for cross-validation. | 2–10 (default: 2) | |
| Fuzzy Match | Enables fuzzy matching for intent identification. | Enable (default) / Disable | |
| Handle Negation | Handles negated words in intent identification. | Enable (default) / Disable | |
| Ignore Multiple Occurrences | Disregards word frequency during vectorization. | Enable (default) / Disable | MLP-BOW only. |
| Entity Placeholders in User Utterances | Replaces entity values in utterances with placeholders. | Enable (default) / Disable | MLP-BOW only. |
| Sentence Split | Splits sentences before intent detection. | Enable (default) / Disable | |
| Multiple Intent Models | Separate ML model per primary intent (including sub-intents). | Enable / Disable (default) | |
| Use only Tagged Utterances for NER Training | NER model trains only on utterances with NER annotations. | Enable (default) / Disable | |
| Neurons in Hidden Layer | Number of hidden-layer neurons. | 0–1000 | Standard Network Type only. |
| Softmax Temperature | Controls how confidently ML identifies the winning intent. | 0–100 | Non-Standard Network Types only. |
| Spell Correction in ML | Enables spell correction on ML dictionary during prediction. | Enable / Disable (default) | English VAs only. |
| Spell Correction Version | Version of spell correction to apply. | Version 1 / Version 2 | English VAs only. Applied across all engines. |
| Spell Correction Status | Enable/disable spell correction globally. | Enable / Disable | English VAs only. |
