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metadata
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-regression
widget:
  structuredData:
    Hour:
      - 0
      - 1
      - 2
    Lag_1:
      - 4.215
      - 3.741
      - 3.38
    Lag_2:
      - 3.939
      - 4.215
      - 3.741
    Lag_3:
      - 4.222
      - 3.939
      - 4.215
    Lag_4:
      - 4.568
      - 4.222
      - 3.939
    Temperature:
      - 20.45
      - 19.5
      - 18.75
    Weekday:
      - 4
      - 4
      - 4
    Weekofyear:
      - 1
      - 1
      - 1

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 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)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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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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