Call:

glm(formula = spam ~ ., family = binomial(link = "logit"), 
  data = scaled.data.modeling)

Deviance Residuals: 

    Min       1Q   Median       3Q      Max  
-4.4162  -0.1754   0.0000   0.0959   3.6230  

Coefficients:
             Estimate Std. Error z value Pr(>|z|)    
(Intercept) -18.98938    2.84602  -6.672 2.52e-11 ***
make         -0.05356    0.07873  -0.680 0.496312    
address      -0.18425    0.10554  -1.746 0.080860 .  
all           0.11758    0.07840   1.500 0.133705    
X3d           3.38348    2.63833   1.282 0.199690    
our           0.26995    0.07383   3.656 0.000256 ***
over          0.29249    0.09335   3.133 0.001728 ** 
remove        0.92457    0.16502   5.603 2.11e-08 ***
internet      0.28554    0.09099   3.138 0.001700 ** 
order         0.31453    0.11112   2.831 0.004646 ** 
mail          0.06111    0.05257   1.162 0.245084    
receive      -0.07468    0.08492  -0.879 0.379182    
will         -0.14988    0.07910  -1.895 0.058113 .  
people       -0.04730    0.09663  -0.489 0.624511    
report        0.02590    0.07887   0.328 0.742608    
addresses     0.16570    0.19027   0.871 0.383832    
free          1.00303    0.15672   6.400 1.55e-10 ***
business      0.60206    0.13513   4.455 8.37e-06 ***
email         0.03116    0.07855   0.397 0.691613    
you           0.27042    0.07566   3.574 0.000352 ***
credit        0.43383    0.35297   1.229 0.219029    
your          0.24235    0.07862   3.083 0.002053 ** 
font          0.30589    0.24953   1.226 0.220249    
X000          0.73603    0.20043   3.672 0.000240 ***
money         0.19537    0.08837   2.211 0.027045 *  
hp           -3.52061    0.62876  -5.599 2.15e-08 ***
hpl          -0.29980    0.30291  -0.990 0.322312    
george      -68.84359   10.45450  -6.585 4.55e-11 ***
X650         -0.06750    0.22132  -0.305 0.760381    
lab          -1.45852    1.01757  -1.433 0.151761    
labs         -0.02456    0.23919  -0.103 0.918204    
telnet        0.30618    0.56753   0.540 0.589541    
X857          0.58915    1.32322   0.445 0.656147    
data         -0.30790    0.18665  -1.650 0.099031 .  
X415         -2.14702    3.70637  -0.579 0.562401    
X85          -0.82849    0.59858  -1.384 0.166331    
technology    0.41855    0.16217   2.581 0.009853 ** 
X1999         0.06603    0.08894   0.742 0.457831    
parts        -0.16711    0.12160  -1.374 0.169363    
pm           -0.52995    0.21936  -2.416 0.015698 *  
direct       -0.06047    0.17327  -0.349 0.727077    
cs          -15.69456   11.76462  -1.334 0.182188    
meeting      -1.96951    0.76366  -2.579 0.009908 ** 
original     -0.55319    0.28630  -1.932 0.053335 .  
project      -1.12425    0.49385  -2.277 0.022816 *  
re           -0.93502    0.20268  -4.613 3.96e-06 ***
edu          -1.79000    0.41862  -4.276 1.90e-05 ***
table        -0.20103    0.16589  -1.212 0.225599    
conference   -1.28573    0.59364  -2.166 0.030322 *  
ch.          -0.35729    0.15268  -2.340 0.019277 *  
ch..1        -0.13968    0.11644  -1.200 0.230269    
ch..2        -0.05094    0.08395  -0.607 0.544026    
ch..3         0.18475    0.05330   3.466 0.000528 ***
ch..4         1.65143    0.24410   6.765 1.33e-11 ***
ch..5         0.93880    0.64286   1.460 0.144193    
crl.ave       1.17019    0.93301   1.254 0.209766    
crl.long      2.40336    0.70537   3.407 0.000656 ***
crl.tot       0.35077    0.17446   2.011 0.044367 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 4119  on 3064  degrees of freedom
Residual deviance: 1125  on 3007  degrees of freedom

AIC: 1241

Number of Fisher Scoring iterations: 13

   user  system elapsed 
   0.22    1.11    1.33 

Warning message:
glm.fit: fitted probabilities numerically 0 or 1 occurred 

( 4119 - 1125 ) / 4119