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.
KNeighborsClassifier(n_neighbors=3)
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]