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天池-AI美年健康大赛初赛
This project forked from atlas-wuu/ml
天池-AI美年健康大赛初赛
天池平台-美年健康AI大赛—双高疾病风险预测 data目录: 1. meinian_round1_train_20180408.csv 2. meinian_round1_test_b_20180505.csv 3. meinian_round1_data_part1_20180408.txt 4. meinian_round1_data_part2_20180408.txt 其中1,3,4文件作为生成训练特征及预测结果,2文件提供测试预测vid 两个特征文件 data_part1 和 data_part2:每个文件第一行是字段名,之后每一行代表某个指标的检查结果(指标含义已脱敏)。每个文件各包含3个字段,分别表示病人id、体检项目id 和体检结果,部分字段在部分人群中有缺失。其中,体检项目id字段,数值相同表示体检的项目相同。 体检结果字段有数值和字符型,部分结果以非结构化文本形式提供。 标签文件 train.csv:是训练数据的答案:包含六个字段,第一个字段为病人id,与上述特征文件的病人id有对应关系,之后五个字段依次为收缩压、舒张压、甘油三酯、高密度脂蛋白胆固醇和低密度脂蛋白胆固醇。 评估指标 https://tianchi.aliyun.com/competition/information.htm?spm=5176.100067.5678.2.6285427cxDT64J&raceId=231654 code目录: main文件为整个系统运行文件,data_code_final文件中进行数据提取,数据清洗,以及数据特征转换。预测选用xgboost模型,文件xgbt_test1、xgbt_test2、xgbt_test3、xgbt_test4、xgbt_test5分别预测指标'收缩压'、'舒张压'、'甘油三酯'、'高密度脂蛋白胆固醇'和'低密度脂蛋白胆固醇'。number_v1_50sub.csv文件为提前根据50个样本进行人工选择得出的特征集合。 submit目录: 生成预测文件所存储的路径。 运行: 运行main文件,生成预测文件在submit文件夹。最终线上评测指标为0.03。(如果选择更多特征,效果应该会好一些,只选择了数值特征,可加入简单文字特征。)
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