I'm trying to interpret these results of using R confint function , but I can not understand. This is a logistic regression about breast cancer. how to interpret confint function. What the 2.5% and 97.5% means?
logit1 = glm(goodmodel, data=train, family=binomial(link = logit))
summary(logit1)
confint(logit1)
summary(logit1)
Call:
glm(formula = goodmodel, family = binomial(link = logit), data = train)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.76595 -0.00368 -0.00011 0.00000 2.57451
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -58.106512 37.736869 -1.540 0.1236
radius_mean -4.791077 1.933346 -2.478 0.0132 *
texture_mean 0.543094 0.222894 2.437 0.0148 *
compactness_mean -93.504749 52.018859 -1.798 0.0723 .
`concave points_mean` 212.367971 86.957163 2.442 0.0146 *
radius_se 18.268981 7.771317 2.351 0.0187 *
smoothness_se 394.202770 347.004692 1.136 0.2560
concavity_se -78.413761 64.179173 -1.222 0.2218
`concave points_se` -26.914245 469.938101 -0.057 0.9543
radius_worst 5.978607 4.897600 1.221 0.2222
area_worst -0.003889 0.045800 -0.085 0.9323
concavity_worst 27.647216 14.104588 1.960 0.0500 *
symmetry_worst 25.702777 15.984453 1.608 0.1078
fractal_dimension_worst 10.690937 79.071866 0.135 0.8924
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 533.015 on 397 degrees of freedom
Residual deviance: 26.608 on 384 degrees of freedom
AIC: 54.608
Number of Fisher Scoring iterations: 12
> confint(logit1)
Waiting for profiling to be done...
2.5 % 97.5 %
(Intercept) -1.482910e+02 7.95727142
radius_mean -9.791086e+00 -1.66857433
texture_mean 1.961861e-01 1.13920334
compactness_mean -2.299043e+02 -5.16464149
`concave points_mean` 6.027894e+01 432.99676482
radius_se 6.704669e+00 39.25468272
smoothness_se -1.961348e+02 1307.22045246
concavity_se -3.122203e+02 25.69408799
`concave points_se` -1.038278e+03 891.07772306
radius_worst -2.977840e+00 17.32103028
area_worst -9.549641e-02 0.09462597
concavity_worst 6.661555e+00 64.03373503
symmetry_worst 1.562622e+00 63.43243116
fractal_dimension_worst -1.619176e+02 168.07512057
There were 50 or more warnings (use warnings() to see the first 50)
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