---
license: apache-2.0
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: skops-iw9h_jza.pkl
widget:
- structuredData:
x0:
- 3
- 5
- 1
x1:
- 5
- 5
- 3
x10:
- 0
- 0
- 0
x11:
- 0
- 0
- 0
x12:
- 0
- 0
- 0
x13:
- 0
- 0
- 0
x14:
- 0
- 0
- 0
x15:
- 0
- 0
- 0
x16:
- 0
- 0
- 0
x2:
- 3
- 4
- 0
x3:
- 5
- 4
- 0
x4:
- 4
- 4
- 0
x5:
- 4
- 0
- 0
x6:
- 3
- 0
- 0
x7:
- 2
- 0
- 0
x8:
- 3
- 0
- 0
x9:
- 0
- 0
- 0
---
# Model description
This model was created following the instructions in the following Kaggle notebook:https://www.kaggle.com/code/thedankdel/disease-symptom-prediction-ml-99The possible classified diseases are:The possible symptoms are:
## Intended uses & limitations
This model follows the limitations of the Apache 2.0 license.
## Training Procedure
[More Information Needed]
### Hyperparameters
Click to expand
| Hyperparameter | Value |
|--------------------------|---------|
| bootstrap | True |
| ccp_alpha | 0.0 |
| class_weight | |
| criterion | gini |
| max_depth | 13 |
| max_features | sqrt |
| max_leaf_nodes | |
| max_samples | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| n_estimators | 500 |
| n_jobs | |
| oob_score | False |
| random_state | 42 |
| verbose | 0 |
| warm_start | False |
RandomForestClassifier(max_depth=13, n_estimators=500, random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(max_depth=13, n_estimators=500, random_state=42)