Analysis Report
Generated by james@BILALMALIK on 12
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Aug
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2011 18:05:39
Model
This is a model of type: SVM
Developed 12
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Aug
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2011 17:34:32.64
Author: james@BILALMALIK
X
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block: 59 by 301 (james@BILALMALIK@20110812T164815.82889196)
Included: [ 1
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59 ] [ 1
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301 ]
Preprocessing: 1st Derivative (order: 1, window: 15 pt, incl only), Autoscale
Y
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block: 59 by 1 (james@BILALMALIK@20110812T164825.00025991)
Included: [ 1
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59 ] [ 1 ]
Preprocessing: Autoscale
SVM type: epsilon
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SVR
SVM kernel type: radial basis fu
nction
SVM optimal parameters:
cost = 31.6228
epsilon = 0.1
gamma = 0.00031623
SVM: number of SVs: 37
RMSEC: 13.1585
RMSECV: 30.0618
Bias:
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1.5911
CV Bias:
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0.332205
R^2 Cal: 0.993088
R^2 CV: 0.957796
Prediction
This is a model of ty
pe: SVM_PRED
Developed 12
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Aug
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2011 17:34:34.98
Author: james@BILALMALIK
X
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block: 30 by 301 (james@BILALMALIK@20110812T164935.17194814)
Included: [ 1
-
30 ] [ 1
-
301 ]
Preprocessing: 1st Derivative (order: 1, window: 15 pt, incl only), Autoscale
Y
-
block:
30 by 1 (james@BILALMALIK@20110812T164943.90679608)
Included: [ 1
-
30 ] [ 1 ]
Preprocessing: Autoscale
SVM type: epsilon
-
SVR
SVM kernel type: radial basis function
SVM optimal parameters:
cost = 31.6228
epsilon = 0.1
gamma = 0.00031623
SVM
: number of SVs: 37
RMSEC: 13.1585
RMSECV: 30.0618
RMSEP: 23.7791
Bias:
-
1.5911
CV Bias:
-
0.332205
Pred Bias:0.498133
R^2 Cal: 0.993088
R^2 CV: 0.957796
R^2 Pred: 0.972467
Comments
SVM on Glucose Data
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