用户新增预测挑战赛Baseline注释

用户新增预测挑战赛Baseline注释版

背景:数据由约62万条训练集、20万条测试集数据组成，共包含13个字段。其中uuid为样本唯一标识，eid为访问行为ID，udmap为行为属性，其中的key1到key9表示不同的行为属性，如项目名、项目id等相关字段，common_ts为应用访问记录发生时间（毫秒时间戳），其余字段x1至x8为用户相关的属性，为匿名处理字段。target字段为预测目标，即是否为新增用户。

from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = 'all'

1.导入需要的packages

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.tree import DecisionTreeClassifier

2.csv数据文件读取函数

def ReadData(path):
    train_data = pd.read_csv(path + 'train.csv')
    test_data = pd.read_csv(path + 'test.csv')
    return train_data,test_data

2.1针对数据的初步观察

train_data, test_data = ReadData('用户新增预测挑战赛公开数据/')
train_data.head()
train_data.info()
train_data.describe()

	uuid	eid	udmap	common_ts	x1	x2	x3	x4	x5	x6	x7	x8	target
0	0	26	{"key3":"67804","key2":"650"}	1689673468244	4	0	41	107	206	1	0	1	0
1	1	26	{"key3":"67804","key2":"484"}	1689082941469	4	0	41	24	283	4	8	1	0
2	2	8	unknown	1689407393040	4	0	41	71	288	4	7	1	0
3	3	11	unknown	1689467815688	1	3	41	17	366	1	6	1	0
4	4	26	{"key3":"67804","key2":"650"}	1689491751442	0	3	41	92	383	4	8	1	0

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 620356 entries, 0 to 620355
Data columns (total 13 columns):
 #   Column     Non-Null Count   Dtype 
---  ------     --------------   ----- 
 0   uuid       620356 non-null  int64 
 1   eid        620356 non-null  int64 
 2   udmap      620356 non-null  object
 3   common_ts  620356 non-null  int64 
 4   x1         620356 non-null  int64 
 5   x2         620356 non-null  int64 
 6   x3         620356 non-null  int64 
 7   x4         620356 non-null  int64 
 8   x5         620356 non-null  int64 
 9   x6         620356 non-null  int64 
 10  x7         620356 non-null  int64 
 11  x8         620356 non-null  int64 
 12  target     620356 non-null  int64 
dtypes: int64(12), object(1)
memory usage: 61.5+ MB

	uuid	eid	common_ts	x1	x2	x3	x4	x5	x6	x7	x8	target
count	620356.000000	620356.000000	6.203560e+05	620356.000000	620356.000000	620356.000000	620356.000000	620356.000000	620356.000000	620356.000000	620356.000000	620356.000000
mean	310177.500000	22.148287	1.689317e+12	2.675723	1.106350	40.974499	82.860080	224.909096	2.901681	5.863720	0.855459