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| model = glm(Occupancy~.,train,family= binomial(link = "logit") | |
| pred = predict(model,test[,-6]) | |
| #All values with probability less than 0.7 are considered occupied. | |
| pred[pred>=0.7] = 1 | |
| pred[pred<0.7] = 0 | |
| pred = factor(pred) | |
| plot(pred) | |
| #Calculate R-sqaured value | |
| perf(pred,test$Occupancy) | |
| #Output | |
| #[1] 0.9386446 |
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