    Model,IV:EdZ (Directed System)
    IV Component:,APOE; Gender; Education; AgeLastExam; rs1801133; rs3818361; rs7561528; rs744373; rs6943822; rs4298437; rs7012010; rs11136000; rs10786998; rs11193130; rs610932; rs3851179; rs3764650; rs3865444,ApSxEdAgABCDEFGHJKLMNP
    Model Component: ,Education; CaseControl,EdZ
    Degrees of Freedom (DF):,7.25594e+08
    Loops:,NO
    Entropy(H):,9.70087
    Information captured (%):,2.57836
    Transmission (T):,0.97295

-------------------------------------------------------------------------

    REFERENCE = TOP
    ,Value,Prob. (Alpha)
    Log-Likelihood (LR),571.889,1
    Pearson X2,219.463,
    Delta DF (dDF),7.25594e+08,

-------------------------------------------------------------------------

    REFERENCE = BOTTOM
    ,Value,Prob. (Alpha)
    Log-Likelihood (LR),15.1356,0.000516828
    Pearson X2,219.463,
    Delta DF (dDF),2,

-------------------------------------------------------------------------


========== RESIDUALS ==========



========== CONDITIONAL PROBABILITY TABLES ==========

Conditional DV (D) (%) for each IV composite state for the Model IV:EdZ.
IV order: Ed (Education).
IV    |    Data            |    Model                
    |    obs. p(DV|IV)    |calc. q(DV|IV)            
Ed    |    freq    Z=0    Z=1    |    Z=0    Z=1    rule    #correct    %correct    p(rule)    p(margin)
0    |    28.000    17.857    82.143    |    52.123    47.877     0    5.000    17.857    0.822    1.000
1    |    140.000    53.571    46.429    |    52.123    47.877     0    75.000    53.571    0.615    1.000
2    |    256.000    55.078    44.922    |    52.123    47.877     0    141.000    55.078    0.497    1.000
    |    424.000    52.123    47.877    |    52.123    47.877    0    221.000    52.123        
    |    freq    Z=0    Z=1    |    Z=0    Z=1    rule    #correct    %correct    p(rule)    p(margin)

Rules marked with an asterisk (*) are selected using the independence model.


Confusion Matrix for the Model IV:EdZ with default ('negative') state (after rebinning) Z=0.
Confusion Matrix for Fit Rule (Training)
,Actual,|,Rule
,,|,Z=0,,Z=not0
,Z=0,|,TN=,221.000,FP=,0.000,AN=,221.000
,Z=not0,|,FN=,203.000,TP=,0.000,AP=,203.000
,,|,RN=,424.000,RP=,0.000,#correct=,221.000

,Additional Statistics (Training)
,Statistic,Definition,Value
,%correct,correct / sample size,0.521
,Sensitivity (aka Recall), (TP / AP),0.000
,Specificity,(TN / AN),1.000
,Precision,(TP / RP),undefined
,Negative Predictive Value,(TN / RN),0.521
,>F1 score,(precision * sensitivity) / (precision + sensitivity),nan

