Understanding Classification with SAP HANA

Setting Up the Environment and Analyzing Data with the SAP HANA Dataframes

Training a PAL Classification Model for the Employee Churn dataset

Evaluating and Testing the Model

Understanding Classification with SAP HANA

Setting Up the Environment and Analyzing Data with the SAP HANA Dataframes

Training a PAL Classification Model for the Employee Churn dataset

Evaluating and Testing the Model

Knowledge quiz

It's time to put what you've learned to the test, get 2 right to pass this unit.

Choose the correct answer.

To ensure the model generalizes well on unseen testing data.

To reduce the overall size of the training dataset.

To improve prediction accuracy on the training dataset.

To minimize preprocessing steps like scaling or normalization.

Choose the correct answer.

Handling missing data in the given dataset.

Normalizing or scaling feature values for consistency.

Splitting the data into training and testing subsets.

Building the model for training with classification tasks.