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Ahmadswaid/
california_housing

Name: california_housing
Availability: InStock

sklearn

skops

tabular-regression

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Model description

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Intended uses & limitations

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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

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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

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Model Card Authors

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Citation

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BibTeX:

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Ahmadswaid/california_housing

Model description

Intended uses & limitations

Training Procedure

Hyperparameters

Model Plot

How to Get Started with the Model

Model Card Authors

Model Card Contact

Citation

Ahmadswaid/
california_housing