hariprasath-v / TechGig---Data-Science---2022

create a model to classify the raisin based 7 morphological features are extracted from images

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TechGig---Data-Science---2022

About

create a model to classify the raisin based 7 morphological features are extracted from images.

Final Score is 87.46 (not a competition score)

Evaluation Metric is Accuracy.

File information

  • techgig-data-science-2022-eda.ipynb

    Basic Exploratory Data Analysis

    Packages Used,

     * seaborn
     * Pandas
     * Numpy
     * Matplotlib
    
  • techgig-data-science-2022-model.ipynb

    Data Pre-processing and model.

    Packages Used,

      * Sklearn
      * Pandas
      * Numpy
      * Matplotlib
      * pycaret    
    

    Compared multiple classification models using pycaret’s compare_models function. Then took the top 3 models based on the accuracy score then blend the model by using pycaret blend_models function.

Top 3 Classifier Models

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Voting Classifier ROC Plot

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Voting Classifier Precision-Recall Plot

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Voting Classifier Prediction Error Plot

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Voting Classifier Confusion Matrix

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Validation Curve for Random Forest Classifier

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Random Forest Classifier Feature Importances

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About

create a model to classify the raisin based 7 morphological features are extracted from images

License:Apache License 2.0


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