Logistic Regression
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Points Per Click :
4
Delay (ms) :
50
Cluster radius (px) :
10
Train(+ve)
Test(+ve)
Train(-ve)
Test(-ve)
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Write features in ' , ' saperated values : (Use ' . ' for element wise operations)
X_1
X_2
(X_1)^2
(X_2)^2
(X_1)*(X_2)
sin(X_1)
sin(X_2)
Learning Rate : (1e-3 <= alpha <= 10)
GD
Batch SGD
Batch Size :
10
Regularization :
None
L1
L2
Elastic
Lambda
Update
shuffle
replay
play_arrow
skip_next
Epoch
000,000
Log Loss
Train Loss :
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Test Loss :
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Accuracy
Train :
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Test :
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Discretize output
Learning Rate
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Batch SGD
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Batch Size
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Regularization
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Reg. Param
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