metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-regression
model_format: skops
model_file: model.skops
widget:
  structuredData:
    x0:
      - -0.8513550738681201
      - 0.3565756375241982
      - -0.5493723960200406
    x1:
      - -0.9801306786815437
      - 0.16144422497410207
      - -0.5044744688250247
    x2:
      - -0.40478372420423153
      - 0.465368421656243
      - -0.6223217606693501
    x3:
      - -0.5539725609683268
      - 0.3927870023121129
      - 1.2133119571551605
    x4:
      - -0.3313192794050237
      - -0.5263980861381337
      - 0.14244353694681483
    x5:
      - -0.6076784605515674
      - -0.3021390244014409
      - 0.37259389709675395
    x6:
      - 0.31079384041548314
      - -0.11643850592424994
      - -0.7648620670356181
    x7:
      - 1.59019987177207
      - -0.6288517674735005
      - -0.6288517674735005
    x8:
      - -0.9276885579794873
      - 1.0779479723001086
      - 1.0779479723001086
    x9:
      - -0.5836191855240799
      - -0.5836191855240799
      - -0.5836191855240799

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

Click to expand

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)

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

Evaluation Results

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

Metric	Value
Train Accuracy	0.79316
Test Accuracy	0.727273

How to Get Started with the Model

[More Information Needed]

Model Card Authors

This model card is written by following authors:

[More Information Needed]

Model Card Contact

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

Citation

Below you can find information related to citation.

BibTeX:

[More Information Needed]

limitations

Mô hình chưa thể dùng trong production.

model_description

Regression model thử nghiệm với skops.