rfc / README.md
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metadata
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
widget:
  structuredData:
    x0:
      - 5.8
      - 6
      - 5.5
    x1:
      - 2.8
      - 2.2
      - 4.2
    x2:
      - 5.1
      - 4
      - 1.4
    x3:
      - 2.4
      - 1
      - 0.2

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
class_weight
criterion gini
max_depth
max_features sqrt
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.

RandomForestClassifier()
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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.

Click to expand
[More Information Needed]

Model Card Authors

This model card is written by following authors:

[More Information Needed]

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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