Machine Failure Classification

This notebook uses the dataset from Kaggle: Machine Failure Prediction for predicting machine failures.

The model implemented uses the Stochastic Gradient Descent (SGD) algorithm.

Results

The confusion matrix shows that the classifier correctly predicted:

• 96 instances of class 0 (no failure)

• 77 instances of class 1 (failure)

It misclassified:

• 9 instances of class 0 as class 1 (false positives)

• 7 instances of class 1 as class 0 (false negatives)

Overall, the model demonstrates a high level of accuracy, with a balanced performance across both classes. The low number of false positives and false negatives indicates that the classifier is effectively distinguishing between the failure and non-failure cases.