Superconductivty_criticalTemp_pred

This repo shows predicting critical temperature of superconductivity using several machine learning techniques.

Additional package installed:

Install XGBOOST in the Anaconda envo using:

conda install -c conda-forge xgboost

The files that contains without PCA implementation

RandomForest-withoutPCA.ipynb

XGBoost_withoutPCA.ipynb

The files that contains PCA implementation

PCA_ALL-XGBoost.ipynb

PCA_ALL-RandomForest.ipynb

Model testing files

KNeighbors-modelTesting.ipynb

Benchmark model

mulitpleRegression-BenchMarkModel.ipynb

The original dataset is available at:

https://archive.ics.uci.edu/ml/datasets/Superconductivty+Data