ahuber's picture
Add scikit-learn KNN model example
0781dda
metadata
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_format: pickle
model_file: model-stock.pkl
widget:
  structuredData:
    x0:
      - -2.91869894329896
      - 1.2861311367611363
      - -0.17676780746347887
    x1:
      - 4.378017491251676
      - -3.150744413325807
      - -3.268596999474564
    x10:
      - 0.8047174523586147
      - -1.2969581776011339
      - 0.31762144434782824
    x11:
      - -3.2390344195350487
      - 1.1959946004673214
      - 0.7563114595834011
    x12:
      - -0.5746008540164298
      - 3.3486745844798804
      - 2.948767259442758
    x13:
      - 3.5915430703361673
      - 3.5265729573580655
      - 0.015963649217312414
    x14:
      - 0.8137258237766396
      - -3.6846723813183138
      - -0.0726270826536789
    x2:
      - 1.660608706929798
      - -2.915945269906298
      - -0.2966018717870358
    x3:
      - 5.717843051082721
      - 0.6565179693281937
      - 3.2575477536637036
    x4:
      - -1.319254071176227
      - 3.2948523559028287
      - 1.5435232801320602
    x5:
      - -2.9780546324477646
      - -1.3618488406102902
      - 1.5867699986090962
    x6:
      - 1.6471024314152358
      - 1.3658191827488237
      - -1.4529064414158699
    x7:
      - 0.3525021389263907
      - 1.3302365122960365
      - 0.09438131139298833
    x8:
      - -0.44858117376143913
      - 0.9049016837557153
      - 2.195212749960551
    x9:
      - 0.5394501179095126
      - -2.85779169799503
      - 1.3981326527555564

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
algorithm auto
leaf_size 30
metric minkowski
metric_params
n_jobs
n_neighbors 3
p 2
weights uniform

Model Plot

The model plot is below.

KNeighborsClassifier(n_neighbors=3)
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

[More Information Needed]

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]