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Model description

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Intended uses & limitations

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Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter Value
C 1.0
class_weight
dual False
fit_intercept True
intercept_scaling 1
l1_ratio
max_iter 100
multi_class auto
n_jobs
penalty l2
random_state 0
solver lbfgs
tol 0.0001
verbose 0
warm_start False

Model Plot

The model plot is below.

LogisticRegression(random_state=0)
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Evaluation Results

You can find the details about evaluation process and the evaluation results.

Metric Value
Train Accuracy 0.791531
Test Accuracy 0.714286

How to Get Started with the Model

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Model Card Authors

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Model Card Contact

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Citation

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BibTeX:

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limitations

Mô hình chưa thể dùng trong production.

model_description

Regression model thử nghiệm với skops.

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