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1
mnist.mat
1.
2.
3.
4.
5.
6.
7.
14
2. 1
2.1
mnist.mat
XyX5000x4005000
20x20400y5000
Xlabely100y1919
2.2
splitDataset702010
XX
splitDataset
display2Ddatatrainingset,cvset,testset
2.3
1
2
3
computeerrorlr
computeerrorlrlambda0
lambdalambda080.4
for
lambda
lambda
lambda
high biashigh variance
m1003500100mlambda1
2
Python
63user0.csv train.csv test.csv. 3
userlog.csv
1. useridid
2. itemidid
3. catidid
4. sellsidid
5. brandidid
6. month:
7. day:
8. action,0,1,2,3,0123
9. agerange118,218,24325,29430,34535,39640,497850,0NULL
10. gender:012NULL
11. province
train.csvtest.csv
useridid
agerange118,218,24325,29430,34535,39640,497850,0NULL
gender:012NULL
merchantidid
label011NULL
2. 2
2.1
2.2
splitDataset702010
XX
splitDataset
display2Ddatatrainingset,cvset,testset
2.3
1
2
3
computeerrorlr
computeerrorlrlambda0
lambdalambda080.4
for
lambda
lambda
lambda
high biashigh variance
m1003500100mlambda1
PAGE
PAGE6
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