Model description
This is a DecisionTreeClassifier model trained on breast cancer dataset.
Intended uses & limitations
This model is not ready to be used in production.
Training Procedure
Hyperparameters
The model is trained with below hyperparameters.
Click to expand
| Hyperparameter | Value |
|---|---|
| ccp_alpha | 0.0 |
| class_weight | |
| criterion | gini |
| max_depth | |
| max_features | |
| max_leaf_nodes | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| random_state | |
| splitter | best |
Model Plot
The model plot is below.
DecisionTreeClassifier()Please rerun this cell to show the HTML repr or trust the notebook.
DecisionTreeClassifier
DecisionTreeClassifier()
## Evaluation Results
You can find the details about evaluation process and the evaluation results.
| Metric | Value |
|---|---|
| accuracy | 0.935673 |
| f1 score | 0.935673 |
How to Get Started with the Model
Use the code below to get started with the model.
Click to expand
import pickle
with open(dtc_pkl_filename, 'rb') as file:
clf = pickle.load(file)
Model Card Authors
This model card is written by following authors:
skops_user
Model Card Contact
You can contact the model card authors through following channels: [More Information Needed]
Citation
Below you can find information related to citation.
BibTeX:
bibtex
@inproceedings{...,year={2020}}
Confusion Matrix
