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MASSP Project

Task

  • Predict house prices in Ames, Iowa using 79 variables and price of sold houses.

Dataset

  • Consist of 4 files:
    • train.csv: include data with 79 features and sale prices of 1460 sold houses.
    • test.csv: using model trained with train.csv to predict prices of 1459 houses in this file.
    • sample.csv: include the format for our submission and sample results

Code:

https://colab.research.google.com/drive/1lbmSpA0KSon8F_oVR2Q0Hd84cGwOFZ03#scrollTo=rOanmB0Feen5

Score review

Model Score
Random Fores Regressor 0.14676
Ridge 0.13691
Gradient Boosting Regressor 0.13331
BayesianRidge 0.13288
LGBM egressor 0.13148
Cat Boost Regressor 0.12458
Mix model (0.25 - 0.1 - 0.1 - 0.25 - 0.3) 0.12446
Mix model (0.2 - 0.2 - 0.2 - 0.2 - 0.2) 0.12443

massp-project's People

Contributors

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