saifhmb/social-network-ads-logit-model

Model description

This is a logistic regression classifier trained on social network ads dataset (https://huggingface.co/datasets/saifhmb/social-network-ads).

Intended uses & limitations

[More Information Needed]

Training Procedure

The preprocesing steps include using a train/test split ratio of 80/20 and applying feature scaling on all the features.

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
solver	lbfgs
tol	0.0001
verbose	0
warm_start	False

Model Plot

LogisticRegression()

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Evaluation Results

Metric	Value
accuracy	0.925
precision	0.944444
recall	0.772727

Confusion Matrix

How to Get Started with the Model

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Model Card Authors

This model card is written by following authors: Seifullah Bello

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Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

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BibTeX:

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