metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_format: pickle
model_file: skops-g4ku84rd.pkl
widget:
  - structuredData:
      x0:
        - -0.7989508220667412
        - -0.021264850777441783
        - -0.3128970900109291
      x1:
        - 0.4946075830589406
        - -0.5773590622674106
        - 0.14694272511525913

Model description

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Intended uses & limitations

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Training Procedure

[More Information Needed]

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

Model description/Evaluation Results/Classification report

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index	precision	recall	f1-score	support
No	0.919355	0.982759	0.95	58
Yes	0.944444	0.772727	0.85	22
macro avg	0.9319	0.877743	0.9	80
weighted avg	0.926254	0.925	0.9225	80

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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Model Card Contact

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Citation

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BibTeX:

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model_card_authors

Seif

model_description

This is a logistic regression classifer model traines on social network ads dataset

eval_method

The model performance is evaluated on test data using accuracy, precision and recall score.