README.md

metadata

license: mit
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_format: pickle
model_file: isolation_forest.pkl
widget:
  structuredData:
    x0:
      - 1.9137876638235471
      - -1.8264435506813366
      - -2.1884262678924737
    x1:
      - 2.021017965584703
      - -1.895103662902048
      - -2.1443081355382363

Model description

[More Information Needed]

Intended uses & limitations

This model is not ready to be used in production.

Training Procedure

[More Information Needed]

Hyperparameters

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Hyperparameter	Value
memory
steps	[('scaler', StandardScaler()), ('model', IsolationForest(max_samples=100, random_state=0))]
verbose	False
scaler	StandardScaler()
model	IsolationForest(max_samples=100, random_state=0)
scaler__copy	True
scaler__with_mean	True
scaler__with_std	True
model__bootstrap	False
model__contamination	auto
model__max_features	1.0
model__max_samples	100
model__n_estimators	100
model__n_jobs
model__random_state	0
model__verbose	0
model__warm_start	False

Model Plot

Pipeline(steps=[('scaler', StandardScaler()),('model', IsolationForest(max_samples=100, random_state=0))])

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Evaluation Results

[More Information Needed]

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

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

Citation

Below you can find information related to citation.

BibTeX:

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Decision Boundary

Plot paths