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163 lines (141 loc) · 8.97 KB
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Call:
glm(formula = V16 ~ ., family = binomial(link = "logit"), data = dataTrain)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.5938 -0.3185 -0.1271 0.3673 3.0343
Coefficients: (3 not defined because of singularities)
Estimate Std. Error z value Pr(>|z|)
(Intercept) 2.777e+01 2.721e+03 0.010 0.99186
V1b 2.617e-01 3.763e-01 0.695 0.48687
V2 3.160e-05 1.530e-02 0.002 0.99835
V3 -4.481e-02 3.475e-02 -1.289 0.19732
V4u -3.069e+01 2.721e+03 -0.011 0.99100
V4y -3.189e+01 2.721e+03 -0.012 0.99065
V5gg NA NA NA NA
V5p NA NA NA NA
V6c 4.898e-01 5.938e-01 0.825 0.40947
V6cc 1.771e+00 8.621e-01 2.054 0.04000 *
V6d 6.607e-02 8.988e-01 0.074 0.94140
V6e 1.209e+00 1.420e+00 0.851 0.39474
V6ff 1.071e+01 1.283e+03 0.008 0.99334
V6i -3.032e-01 8.765e-01 -0.346 0.72936
V6j -1.128e+01 1.538e+03 -0.007 0.99415
V6k -3.031e-01 7.937e-01 -0.382 0.70253
V6m 1.106e+00 8.804e-01 1.256 0.20918
V6q 7.109e-01 6.578e-01 1.081 0.27977
V6r -1.201e+01 2.400e+03 -0.005 0.99601
V6w 1.068e+00 6.981e-01 1.530 0.12609
V6x 2.530e+00 9.839e-01 2.571 0.01013 *
V7dd 9.469e-02 2.202e+00 0.043 0.96570
V7ff -1.227e+01 1.283e+03 -0.010 0.99237
V7h 2.726e-01 7.467e-01 0.365 0.71506
V7j 1.252e+01 1.538e+03 0.008 0.99351
V7n NA NA NA NA
V7o -7.779e+01 4.255e+03 -0.018 0.98541
V7v -1.422e-02 6.919e-01 -0.021 0.98360
V7z -3.729e-01 2.751e+00 -0.136 0.89217
V8 5.508e-02 6.807e-02 0.809 0.41842
V9t 3.642e+00 4.106e-01 8.871 < 2e-16 ***
V10t 4.958e-01 4.709e-01 1.053 0.29239
V11 1.377e-01 8.571e-02 1.607 0.10807
V12t -3.065e-01 3.471e-01 -0.883 0.37722
V13p 2.119e+00 1.351e+00 1.568 0.11688
V13s -3.991e-02 6.435e-01 -0.062 0.95055
V14 -2.985e-03 1.060e-03 -2.815 0.00487 **
V15 5.613e-04 2.605e-04 2.155 0.03117 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 662.36 on 482 degrees of freedom
Residual deviance: 266.33 on 448 degrees of freedom
AIC: 336.33
Number of Fisher Scoring iterations: 15
> #Now we can run the anova() function on the model to analyze the table of deviance
> anova(model, test="Chisq")
Analysis of Deviance Table
Model: binomial, link: logit
Response: V16
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev Pr(>Chi)
NULL 482 662.36
V1 1 1.612 481 660.74 0.2042562
V2 1 9.765 480 650.98 0.0017790 **
V3 1 21.426 479 629.55 3.677e-06 ***
V4 2 27.334 477 602.22 1.160e-06 ***
V5 0 0.000 477 602.22
V6 13 73.383 464 528.84 1.902e-10 ***
V7 7 4.767 457 524.07 0.6883487
V8 1 20.596 456 503.47 5.671e-06 ***
V9 1 193.000 455 310.47 < 2.2e-16 ***
V10 1 14.696 454 295.78 0.0001263 ***
V11 1 6.146 453 289.63 0.0131675 *
V12 1 2.442 452 287.19 0.1181437
V13 2 1.846 450 285.34 0.3973542
V14 1 9.003 449 276.34 0.0026958 **
V15 1 10.007 448 266.33 0.0015595 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
predictions 0 1
0 95 19
1 17 76
[1] "Accuracy 0.826086956521739"
###RESULTS MATCHED TO THE DATASET
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 predictions
1 a 24.50000 0.500 u g q h 1.500 t f 0 f g 280 824 1 1
2 b 27.83000 1.540 u g w v 3.750 t t 5 t g 100 3 1 1
3 b 20.17000 5.625 u g w v 1.710 t f 0 f s 120 0 1 1
4 b 33.17000 1.040 u g r h 6.500 t f 0 t g 164 31285 1 1
5 b 54.42000 0.500 y p k h 3.960 t f 0 f g 180 314 1 0
6 b 42.50000 4.915 y p w v 3.165 t f 0 t g 52 1442 1 1
7 a 38.25000 6.000 u g k v 1.000 t f 0 t g 0 0 1 0
8 a 45.83000 10.500 u g q v 5.000 t t 7 t g 0 0 1 1
9 b 36.67000 4.415 y p k v 0.250 t t 10 t g 320 0 1 0
10 b 28.25000 0.875 u g m v 0.960 t t 3 t g 396 0 1 1
11 a 19.17000 8.585 u g cc h 0.750 t t 7 f g 96 0 1 1
12 a 47.00000 13.000 u g i bb 5.165 t t 9 t g 0 0 1 1
13 b 56.58000 18.500 u g d bb 15.000 t t 17 t g 0 0 1 1
14 b 42.08000 1.040 u g w v 5.000 t t 6 t g 500 10000 1 1
15 b 49.50000 7.585 u g i bb 7.585 t t 15 t g 0 5000 1 1
16 b 27.25000 1.585 u g cc h 1.835 t t 12 t g 583 713 1 1
17 b 27.75000 0.585 y p cc v 0.250 t t 2 f g 260 500 1 1
18 b 54.58000 9.415 u g ff ff 14.415 t t 11 t g 30 300 1 1
19 b 28.92000 15.000 u g c h 5.335 t t 11 f g 0 2283 1 1
20 b 39.58000 13.915 u g w v 8.625 t t 6 t g 70 0 1 1
21 a 25.75000 0.500 u g c h 0.875 t f 0 t g 491 0 1 0
22 b 34.92000 2.500 u g w v 0.000 t f 0 t g 239 200 1 1
23 b 43.25000 3.000 u g q h 6.000 t t 11 f g 80 0 1 1
24 a 23.42000 0.790 y p q v 1.500 t t 2 t g 80 400 1 1
25 a 20.42000 0.835 u g q v 1.585 t t 1 f g 0 0 1 1
26 b 34.17000 1.540 u g cc v 1.540 t t 1 t g 520 50000 1 1
27 b 34.83000 4.000 u g d bb 12.500 t f 0 t g 184 0 0 1
28 b 44.25000 0.500 u g m v 10.750 t f 0 f s 400 0 0 1
29 b 20.67000 5.290 u g q v 0.375 t t 1 f g 160 0 0 1
30 a 19.17000 0.585 y p aa v 0.585 t f 0 t g 160 0 0 0
31 b 21.50000 9.750 u g c v 0.250 t f 0 f g 140 0 0 1
32 b 39.83000 0.500 u g m v 0.250 t f 0 f s 288 0 0 1
33 b 27.25000 0.625 u g aa v 0.455 t f 0 t g 200 0 0 1
34 b 37.17000 4.000 u g c bb 5.000 t f 0 t s 280 0 0 1
35 a 49.00000 1.500 u g j j 0.000 t f 0 t g 100 27 0 1
36 b 52.33000 1.375 y p c h 9.460 t f 0 t g 200 100 0 1
37 b 28.75000 1.500 y p c v 1.500 t f 0 t g 0 225 0 1
38 a 22.50000 11.000 y p q v 3.000 t f 0 t g 268 0 0 0
39 b 37.50000 1.750 y p c bb 0.250 t f 0 t g 164 400 0 0
40 b 27.83000 4.000 y p i h 5.750 t t 2 t g 75 0 0 1
41 b 54.83000 15.500 u g e z 0.000 t t 20 f g 152 130 0 1
42 b 28.75000 1.165 u g k v 0.500 t f 0 f s 280 0 0 0
43 a 24.50000 1.040 y p ff ff 0.500 t t 3 f g 180 147 0 0
44 a 33.75000 0.750 u g k bb 1.000 t t 3 t g 212 0 0 1
45 b 25.67000 12.500 u g cc v 1.210 t t 67 t g 140 258 1 1
46 b 34.92000 5.000 u g x h 7.500 t t 6 t g 0 1000 1 1
47 a 28.42000 3.500 u g w v 0.835 t f 0 f s 280 0 1 1
48 a 31.25000 3.750 u g cc h 0.625 t t 9 t g 181 0 1 1
49 a 56.50000 16.000 u g j ff 0.000 t t 15 f g 0 247 1 0
50 b 43.00000 0.290 y p cc h 1.750 t t 8 f g 100 375 1 1
51 b 27.25000 1.665 u g cc h 5.085 t t 9 f g 399 827 1 1
52 b 32.83000 2.500 u g cc h 2.750 t t 6 f g 160 2072 1 1
53 b 23.25000 1.500 u g q v 2.375 t t 3 t g 0 582 1 1
54 a 46.67000 0.460 u g cc h 0.415 t t 11 t g 440 6 1 1
55 b 23.08000 2.500 u g c v 1.085 t t 11 t g 60 2184 1 1
56 a 68.67000 15.000 u g e z 0.000 t t 14 f g 0 3376 1 1
57 b 34.08000 0.080 y p m bb 0.040 t t 1 t g 280 2000 1 1
58 b 37.50000 1.125 y p d v 1.500 f f 0 t g 431 0 1 0