hariprasath-v / Machinehack_predict_accident_risk_score_for_unique_postcode

Machine Learning model to predict Accident Risk Index by using area/district level accident data

Machinehack_predict_accident_risk_score_for_unique_postcode

Competition hosted on MACHINEHACK

About

Machine Learning model to predict Accident Risk Index by using area/district level accident data.

Competition Public LB Rank:201 & Private LB Rank:200

Final Score 0.6497

Evaluation Metric is Mean squared error.

File information

• MH_predict_accident_risk_score_for_unique_postcode_EDA.ipynb

  Packages Used,

   * seaborn
   * Pandas
   * klib
   * Numpy
   * Matplotlib
   * re
  

  Basic Exploratory Data Analysis

• MH_predict_accident_risk_score_for_unique_postcode_Model.ipynb

  Packages Used,

    * Sklearn
    * re
    * Pandas
    * Numpy
    * Matplotlib
    * pycaret
    * shap
  

  Data Pre-processing

  Created pycaret voting regressor model.

  Model interpretation with shap

Residuals Plot

Prediction Error Plot

Pycaret Feature Importance Plot

SHAP Feature Importance

SHAP Feature Impact

SHAP Feature Impact on Single observation