---
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_file: HME_pickle
widget:
structuredData:
anger:
- 0.13340177
- 0.26429585
- 0.75805366
disgust:
- 0.07661828
- 0.14570697
- 0.21044387
fear:
- 0.094705686
- 0.057977196
- 0.003689876
joy:
- 0.006762238
- 0.2627153
- 0.001755206
neutral:
- 0.03295978
- 0.019884355
- 0.013996695
sadness:
- 0.6507381
- 0.24445744
- 0.011482558
surprise:
- 0.004814104
- 0.00496282
- 0.000578273
---
# Model description
[More Information Needed]
## Intended uses & limitations
[More Information Needed]
## Training Procedure
### Hyperparameters
The model is trained with below hyperparameters.
Click to expand
| Hyperparameter | Value |
|------------------|---------|
| alpha | 1 |
| class_prior | |
| fit_prior | 1 |
| norm | 0 |
ComplementNB()Please rerun this cell to show the HTML repr or trust the notebook.
ComplementNB()