metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-regression
model_format: pickle
model_file: hw4_mar25_regressor_iter.pkl
widget:
  - structuredData:
      households:
        - 417.6640955085236
        - 236
        - 246
      housing_median_age:
        - 49
        - 31
        - 17
      latitude:
        - 38.22334594673302
        - 36.20969180851678
        - 32.85
      longitude:
        - -122.19
        - -121.51
        - -115.57
      median_income:
        - 3.555094529227091
        - 6.6112
        - 1.7411
      ocean_proximity_<1H OCEAN:
        - 0
        - 0
        - 0
      ocean_proximity_INLAND:
        - 0.022188959848072953
        - 1
        - 1
      ocean_proximity_ISLAND:
        - 0
        - 0
        - 0
      ocean_proximity_NEAR BAY:
        - 1
        - 0
        - -0.015350581382989892
      ocean_proximity_NEAR OCEAN:
        - 0
        - 0
        - 0
      population:
        - 790
        - 542
        - 728
      total_bedrooms:
        - 447.86922111956846
        - 217
        - 256
      total_rooms:
        - 1728.58177384804
        - 3518.385768850101
        - 580.5334906827775

Model description

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Intended uses & limitations

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Training Procedure

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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
monotonic_cst
n_estimators	100
n_jobs
oob_score	False
random_state	42
verbose	0
warm_start	False

Model Plot

RandomForestRegressor(random_state=42)

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Evaluation Results

Metric	Value
rmse	0.291582

How 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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eval_method

The model is evaluated using test split, on rmse.