scikit-learn/skops-blog-example

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.

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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.

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.

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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