Model description
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Intended uses & limitations
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Training Procedure
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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 |
monotonic_cst | |
random_state | |
splitter | best |
Model Plot
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DecisionTreeClassifier()
Evaluation Results
Metric | Value |
---|---|
accuracy | 0.947368 |
f1 score | 0.947368 |
How to Get Started with the Model
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Model Card Authors
This model card is written by following authors:
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Citation
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BibTeX:
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citation_bibtex
bibtex @inproceedings{...,year={2020}}
get_started_code
import pickle with open(dtc_pkl_filename, 'rb') as file: clf = pickle.load(file)
model_card_authors
skops_user
limitations
This model is not ready to be used in production.
model_description
This is a DecisionTreeClassifier model trained on breast cancer dataset.
eval_method
The model is evaluated using test split, on accuracy and F1 score with macro average.
confusion_matrix
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