Misfire Learning Quiz

To remove faulty sensors from the data set

To create faulty sensors for data generation

To improve model performance by incorporating misfire data into the training process (correct)

To exclude misfire data from the training process

Data from a faulty sensor (correct)

Data from a perfectly functioning sensor

Data from a reliable and accurate sensor

Data from a properly formatted source

Data with no anomalies or faults

Data perfectly aligned with the model's normal operation

Data not representative of the data the model is expected to see during normal operation (correct)

Data from properly formatted sensors