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Linear Regression Demo using PolyAnalyst Generating Linear Regression Formula Generating Regression Rules for Categorical classification.

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Presentation on theme: "Linear Regression Demo using PolyAnalyst Generating Linear Regression Formula Generating Regression Rules for Categorical classification."— Presentation transcript:

1 Linear Regression Demo using PolyAnalyst Generating Linear Regression Formula Generating Regression Rules for Categorical classification

2 CPU Data vendorMYCTMMINMMAXCACHCHMINCHMAXclass adviser125256600025616128199 amdahl2980003200032832253 amdahl2980003200032832253 amdahl2980003200032832253 amdahl2980001600032816132 amdahl2680003200064832290 amdahl231600032000641632381 amdahl231600032000641632381 amdahl231600064000641632749 amdahl23320006400012832641238

3 Select Data Source Type

4 Select Source File

5 Edit Project

6 Explore by Linear Regression

7 Select Independent Fields & Target

8 Linear Regression class = -65.4261 +0.0644143*MYCT +0.0142251*MMIN +0.00655274*MMAX +0.485249*CACH +1.18320*CHMAX

9 Gain Chart

10 Prediction/Real vs. Counter

11 Classification Rule Demo using PolyAnalyst

12 Weather Data outlooktemperaturehumiditywindyplay sunny8585FALSEno sunny8090TRUEno overcast8386FALSEyes rainy7096FALSEyes rainy6880FALSEyes rainy6570TRUEno overcast6465TRUEyes sunny7295FALSEno sunny6970FALSEyes rainy7580FALSEyes sunny7570TRUEyes overcast7290TRUEyes overcast8175FALSEyes rainy7191TRUEno

13 Working with Attributes

14 Classify

15 Prediction Rule 0.6224 < (+2.00797 +0.474537*if(outlook='overcast',1,0) -0.0165110*humidity -0.356277*if(windy,1,0))

16 Confusion Matrix real\predNoYes No50 Yes27 True Negative True Positive False Positive False Negative

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