Classification

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Work with your assigned partner to write a Python script to fit a classification model to this breast cancer data.

Make sure to do the following:

• Exploratory analysis
• Feature engineering
• Cross validation (train/testing split)
• Use the error metrics, per class: Precision, Recall & F1 for each class

What are the differences between the metrics? Are there differences between the two classes?

Multi-class Classification

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Work with your assigned partner to write a Python script to fit a classification model to this used car quality data.

Make sure to do the following:

• Exploratory analysis
• Feature engineering
• Cross validation (train/testing split)
• Use the error metrics, per class: Precision, Recall & F1 for each class
• Make a confusion matrix

Which classes are accurately predicted and which ones aren't?

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1. GFU
2. CSIS
3. J. Walker Orr
4. CSIS 441