##Elo Merchant Category Recommendation
该比赛是巴西的一个信用卡公司,
##源数据
###train (201918条)
- card_id 信用卡唯一标识符
- first_active_month 购买的记录时间,精确到月,格式为:'YYYY-MM'
- feature_1 脱敏特征1
- feature_2 脱敏特征2
- feature_3 脱敏特征3
- target 在2个月之后的数据评分。Loyalty numerical score calculated 2 months after historical and evaluation period
...
+------------------+---------------+---------+---------+---------+-----------+
|first_active_month|card_id |feature_1|feature_2|feature_3|target |
+------------------+---------------+---------+---------+---------+-----------+
|2017-06 |C_ID_92a2005557|5 |2 |1 |-0.8202826 |
|2017-01 |C_ID_3d0044924f|4 |1 |0 |0.39291325 |
|2016-08 |C_ID_d639edf6cd|2 |2 |0 |0.68805599 |
+------------------+---------------+---------+---------+---------+-----------+
###test (123624条)
与train结构一致,没有target项
+------------------+---------------+---------+---------+---------+
|first_active_month|card_id |feature_1|feature_2|feature_3|
+------------------+---------------+---------+---------+---------+
|2017-04 |C_ID_0ab67a22ab|3 |3 |1 |
|2017-01 |C_ID_130fd0cbdd|2 |3 |0 |
|2017-08 |C_ID_b709037bc5|5 |1 |1 |
+------------------+---------------+---------+---------+---------+
###historical_transaction(29112361,2千900万)
信用卡过去三个月的消费记录
- card_id
- month_lag 距离参考日期的月份间隔
- purchase_date 购买时间
- authorized_flag 置信标签,Y是经过确认的,N是没有的,new中都是Y
- installments 分期付款期数
- merchant_category_id 客户商品id (anonymized )
- subsector_id 商家商品种类id (anonymized )
- merchant_id 商家id(脱敏)
- purchase_amount 正则化后的购买数量
- city_id 城市脱敏id
- state_id 州脱敏id
- category_1 脱敏商品1
- category_2 脱敏商品2
- category_3 脱敏商品3
...
+---------------+---------------+-------+----------+------------+----------+--------------------+---------------+---------+---------------+-------------------+----------+--------+------------+
|authorized_flag|card_id |city_id|category_1|installments|category_3|merchant_category_id|merchant_id |month_lag|purchase_amount|purchase_date |category_2|state_id|subsector_id|
+---------------+---------------+-------+----------+------------+----------+--------------------+---------------+---------+---------------+-------------------+----------+--------+------------+
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_e020e9b302|-8 |-0.70333091 |2017-06-25 15:33:07|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |367 |M_ID_86ec983688|-7 |-0.73312848 |2017-07-15 12:10:45|1.0 |16 |16 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_979ed661fc|-6 |-0.720386 |2017-08-09 22:04:29|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |560 |M_ID_e6d5ae8ea6|-5 |-0.73535241 |2017-09-02 10:06:26|1.0 |16 |34 |
+---------------+---------------+-------+----------+------------+----------+--------------------+---------------+---------+---------------+-------------------+----------+--------+------------+
###new_merchant_period(196303,196万行)
信用卡当前月的消费记录
结构与historical一致
+---------------+---------------+-------+----------+------------+----------+--------------------+---------------+---------+---------------+-------------------+----------+--------+------------+
|authorized_flag|card_id |city_id|category_1|installments|category_3|merchant_category_id|merchant_id |month_lag|purchase_amount|purchase_date |category_2|state_id|subsector_id|
+---------------+---------------+-------+----------+------------+----------+--------------------+---------------+---------+---------------+-------------------+----------+--------+------------+
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_e020e9b302|-8 |-0.70333091 |2017-06-25 15:33:07|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |367 |M_ID_86ec983688|-7 |-0.73312848 |2017-07-15 12:10:45|1.0 |16 |16 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_979ed661fc|-6 |-0.720386 |2017-08-09 22:04:29|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |560 |M_ID_e6d5ae8ea6|-5 |-0.73535241 |2017-09-02 10:06:26|1.0 |16 |34 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_e020e9b302|-11 |-0.72286538 |2017-03-10 01:14:19|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|333 |N |0 |A |80 |M_ID_50af771f8d|0 |-0.73488659 |2018-02-24 08:45:05|1.0 |9 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |278 |M_ID_5e8220e564|-11 |-0.71685477 |2017-03-21 00:10:51|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|3 |N |0 |A |80 |M_ID_9d41786a50|-3 |-0.65704925 |2017-11-18 20:05:55|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_979ed661fc|-8 |-0.73796702 |2017-06-01 22:02:56|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_74ba14b5fc|-11 |-0.71535212 |2017-03-16 15:41:22|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |683 |M_ID_1449f22bfb|-9 |-0.73413526 |2017-05-09 12:42:07|1.0 |16 |34 |
|Y |C_ID_4e6213e9bc|-1 |N |0 |A |560 |M_ID_7c5e93af2f|0 |-0.72792931 |2018-02-08 20:05:45|null |-1 |34 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_e020e9b302|-8 |-0.74164852 |2017-06-08 18:02:29|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |130 |M_ID_e8fb39882d|-7 |-0.72737333 |2017-07-14 12:59:38|1.0 |16 |41 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |80 |M_ID_97e86eae5f|-4 |-0.73188128 |2017-10-24 13:29:29|1.0 |16 |37 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |560 |M_ID_e6d5ae8ea6|-8 |-0.73819242 |2017-06-14 07:40:48|1.0 |16 |34 |
|Y |C_ID_4e6213e9bc|69 |N |0 |A |879 |M_ID_00a6ca8a8a|0 |-0.72587068 |2018-02-07 12:19:33|1.0 |9 |29 |
|Y |C_ID_4e6213e9bc|88 |N |0 |A |278 |M_ID_21e1552dab|-7 |-0.73488659 |201
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基于SparkML2.0进行的Kaggle、JData等比赛.zip
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基于SparkML2.0进行的Kaggle、JData等比赛.zip (125个子文件)
TitanicPassengersTestData.csv 59KB
TitanicPassengersTrainData.csv 59KB
housing.data 48KB
winutils.exe 40KB
.gitignore 19B
SparkML.iml 31KB
测试泄露文件之间的关联性.ipynb 15KB
SmartFile.java 13KB
SmartTimer.java 6KB
SmartFileExtend.java 2KB
SmartProperties.java 1KB
Loader.java 1KB
Loader.java 883B
Consts.java 559B
Tools.java 422B
Start.java 385B
GCTest.java 299B
SmartException.java 151B
Readme.md 18KB
README.md 881B
log4j.properties 620B
hadoop.properties 29B
jdbc.properties 15B
SantanderGP.py 33KB
fea_exact.py 16KB
LagSelectFakeRows.py 10KB
explore_source.py 7KB
util.py 7KB
LightGBMWithBayesanOptimization.py 6KB
Feature_scoring_vs_zeros.py 6KB
Features_24.py 5KB
lgb.py 3KB
model.py 3KB
np.py 1KB
data_anlyse.py 679B
PrimeCity.py 514B
test1.py 466B
stantderTest.py 337B
offline_spark.py 256B
test2.py 138B
main.scala 60KB
FeatureExact.scala 20KB
TimeFuture.scala 16KB
TrainModel.scala 14KB
RecordFeatures.scala 13KB
DataCollect.scala 11KB
OrderAndActionCluster.scala 10KB
CustomerFeatures.scala 8KB
Explore.scala 7KB
OpTitanicSimple.scala 7KB
Record.scala 6KB
OpTitanic.scala 5KB
Models.scala 5KB
Constant.scala 5KB
OpBoston.scala 4KB
Run.scala 4KB
GASimpleWithTransmogriAIMain.scala 4KB
ARIMATrain.scala 4KB
Customer.scala 4KB
OpElo.scala 4KB
FeatureUtils.scala 4KB
OpBoston2.scala 4KB
GASimpleWithTransmogriAIloadModel.scala 4KB
DataExplore.scala 3KB
ArrayTest.scala 3KB
TimeSeriesTest.scala 3KB
UserDefineEvaluator.scala 3KB
JointTest.scala 3KB
Run.scala 3KB
SparkUtil.scala 2KB
SimpleReaderTest.scala 2KB
ScoreEvaluator.scala 2KB
OpTitanicMini.scala 2KB
csvTest.scala 2KB
ModelUtils.scala 2KB
Explore2.scala 2KB
XGBoostModel.scala 2KB
OnehotTest.scala 2KB
TransmogrifAITest.scala 2KB
SetSuite.scala 2KB
Run.scala 1KB
BostonFeatures.scala 1KB
TitanicFeatures.scala 1KB
test2.scala 1KB
ShowFeatures.scala 1KB
yyy.scala 1KB
GetMeansOfResult.scala 1KB
WordCount.scala 1KB
dateTimeTest.scala 1KB
DataUtils.scala 1KB
EloConstants.scala 996B
CaseGroupKeyTest.scala 970B
PviotTest.scala 939B
ARIMATest.scala 939B
TrainTest.scala 925B
WorkCount.scala 903B
OptionTest.scala 857B
createTrainMini.scala 809B
JDBCSink.scala 775B
Constants.scala 739B
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