使用ANN，多元线性回归和XGBoost_r预测的超导临界温度：https：archive.ics.uci.eduml数据集
需积分: 50 188 浏览量
2021-03-04
01:56:37
上传
评论 1
收藏 10.46MB ZIP 举报
Predicted-Superconducting-critical-temperatures-Using-ANN-Multiple-Liniear-regression-and-XGBoost_r-master.zip （17个子文件） 
Predicted-Superconducting-critical-temperatures-Using-ANN-Multiple-Liniear-regression-and-XGBoost_r-master .ipynb_checkpoints 
ANN_Superconductivity_Data_set-checkpoint.ipynb 141KB ANN_Superconductivity_Data_set-Copy1-checkpoint.ipynb 239KB Untitled-checkpoint.ipynb 72B Superconductivity_GBoost_Regression-checkpoint.ipynb 274KB .ipynb-checkpoint 362KB Untitled1-checkpoint.ipynb 72B ANN_Superconductivity_Data_set-Copy2-checkpoint.ipynb 291KB Superconductivity_multiple_linear_regression-checkpoint.ipynb 274KB Untitled1.ipynb 79KB train.csv 22.75MB best_model.h5 2.4MB Samira-ANN_Superconductivity_Data_set (1).ipynb 275KB README.md 353B ANN_Crossvalidation_Superconductivity_Data_set.ipynb 374KB Superconductivity_GBoost_Regression.ipynb 303KB .ipynb 362KB Superconductivity_multiple_linear_regression.ipynb 274KB
评论0
最新资源