Compound Parameter Prediction System
Using Cubic SVM Models for AA, DA, and UA Compounds
Concentration Selection
AA (Ascorbic Acid)
Concentration
Absent
1.0
2.5
5.0
10.0
25.0
50.0
100.0
Custom Parameters
Center: 1.0-1.8, Width: 0.9-1.1, Amplitude: 1.0-3.0
Amplitude
2.0
Width
1.0
Center
1.4
DA (Dopamine)
Concentration
Absent
1.0
2.5
5.0
10.0
25.0
50.0
100.0
Custom Parameters
Center: 2.2-3.0, Width: 0.7-0.9, Amplitude: 1.0-7.0
Amplitude
4.0
Width
0.8
Center
2.6
UA (Uric Acid)
Concentration
Absent
1.0
2.5
5.0
10.0
25.0
50.0
100.0
Custom Parameters
Center: 3.2-4.0, Width: 0.5-0.7, Amplitude: 1.0-5.0
Amplitude
3.0
Width
0.6
Center
3.6
Generate & Predict
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Model Status
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Generating signal and making predictions...
Parameter Predictions
Compound
Parameter
Predicted Value
Predicted Class
True Value
Absolute Error
Relative Error (%)
Error Analysis & Statistics
Parameter Prediction Errors
Signal Reconstruction Errors
Overall Performance Metrics
Combined Signal
Individual Components
Overlay View
Original vs Predicted
Individual Components Comparison