Question $1$: Which variable has the most influence in the equipment failure model? Does this make sense? Why or why not?

A$.$ It would seem reasonable that the age variable would have a significant effect on the equipment failure model since equipment aging is a significant contributing factor to equipment failures. The chance of malfunctioning in equipment grows with age, and research backs up this theory. Age is a major factor in determining an asset's dependability and maintenance requirements.

Question $2$: Examine the Confusion Matrix. Explain the specificity and sensitivity results. Based on these metrics, Is this model a good predictor of equipment failure? Would this be an acceptable model for the utilities company to use to schedule maintenance on equipment before it fails? Explain.

A$.$

Question $3$: Based on the confusion matrix and other metrics, is this model better than the prior model? Explain.

Question $4$: What is the probability that this equipment will fail?

Question $5$: Which attribute contributes the most to this prediction?

Challenge Activity: Provide a screenshot of your new prediction results.