• XGBOOST
• STEP 1:
• STEP 2:
• STEP 3:

XGBOOST

STEP 1:

MCAD_AFQ_competition.mat --> train.csv
MCAD_AFQ_test.mat --> test.csv

STEP 2:

代码在文件夹sex_age_sites
设定性别系数、年龄系数和站点系数三个参数，与特征提取为5个点的平均值求和，分别改变它们的大小，得到各个情况下精度随学习率变化的曲线，根据精度大小选择各参数大小。

STEP 3:

train:
使用STEP 2中得到的参数大小，十折交叉验证特征提取为5个点的平均值和特征提取为25个点的平均值这两种情况。
nc_ad_not_delete_all_cross_val_point_5_n_300.py
nc_ad_not_delete_all_cross_val_point_25_n_300_test.py

test:
nc_ad_not_delete_all_cross_val_point_5_n_300_test.py
nc_ad_not_delete_all_cross_val_point_25_n_300_test.py

model:
./model/nc_ad_not_delete_all_cross_val_point_5/nc_ad_not_delete_all_cross_val_point_5_n_300.m
./model/nc_ad_not_delete_all_cross_val_point_25/nc_ad_not_delete_all_cross_val_point_25_n_300.m

res:
./model/nc_ad_not_delete_all_cross_val_point_5/nc_ad_not_delete_all_cross_val_point_5_n_300.
./model/nc_ad_not_delete_all_cross_val_point_25/nc_ad_not_delete_all_cross_val_point_25_n_300.csv