metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-regression
widget:
  structuredData:
    AveBedrms:
      - 0.9806451612903225
      - 1.0379746835443038
      - 0.9601449275362319
    AveOccup:
      - 2.587096774193548
      - 2.8658227848101268
      - 2.6449275362318843
    AveRooms:
      - 7.275268817204301
      - 5.39493670886076
      - 6.536231884057971
    HouseAge:
      - 38
      - 25
      - 39
    Latitude:
      - 37.44
      - 37.31
      - 34.16
    Longitude:
      - -122.19
      - -122.03
      - -118.07
    MedInc:
      - 9.3198
      - 5.3508
      - 6.4761
    Population:
      - 1203
      - 1132
      - 730

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter	Value
bootstrap	True
ccp_alpha	0.0
criterion	squared_error
max_depth
max_features	1.0
max_leaf_nodes
max_samples
min_impurity_decrease	0.0
min_samples_leaf	1
min_samples_split	2
min_weight_fraction_leaf	0.0
n_estimators	100
n_jobs
oob_score	False
random_state
verbose	0
warm_start	False

Model Plot

The model plot is below.

RandomForestRegressor()

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Evaluation Results

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

Metric	Value

How to Get Started with the Model

Use the code below to get started with the model.

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[More Information Needed]

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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