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geninhu/
skops_logistics

sklearn

skops

tabular-regression

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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

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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

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Citation

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limitations

Mô hình chưa thể dùng trong production.

model_description

Regression model thử nghiệm với skops.

geninhu/skops_logistics

Model description

Intended uses & limitations

Training Procedure

Hyperparameters

Model Plot

Evaluation Results

How to Get Started with the Model

Model Card Authors

Model Card Contact

Citation

limitations

model_description

geninhu/
skops_logistics