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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 10
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 50
n_jobs
oob_score False
random_state 59
verbose 0
warm_start False

Model Plot

The model plot is below.

RandomForestRegressor(max_depth=10, n_estimators=50, random_state=59)
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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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Model Card Authors

This model card is written by following authors:

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Model Card Contact

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Citation

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BibTeX:

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