used-phones-price-prediction

Model description

This model is a regression model that predicts the price of a used phones

Intended uses & limitations

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Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

<details> <summary> Click to expand </summary> </details>

Model Plot

The model plot is below.

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## Evaluation Results

You can find the details about evaluation process and the evaluation results.

How to Get Started with the Model

Use the code below to get started with the model.

import joblib
import json
import pandas as pd
clf = joblib.load(price-prediction-model.bin)
with open("config.json") as f:
    config = json.load(f)
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))

Model Card Authors

This model card is written by following authors:

Ellipsis

Model Card Contact

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Citation

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BibTeX:

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