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This research develops a regression model by performing EDA and feature transformation, followed by training several machine learning models. Random Forest delivered the best performance and its predictions were further explained using LIME, with PCA applied for feature extraction and key metrics like r², MAE, and RMSE analyzed for evaluation.
mondalsudipta/FlightFarePrediction-LIME
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This research develops a regression model by performing EDA and feature transformation, followed by training several machine learning models. Random Forest delivered the best performance and its predictions were further explained using LIME, with PCA applied for feature extraction and key metrics like r², MAE, and RMSE analyzed for evaluation.
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