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 3 right to pass this unit.

Choose the correct answer.

Avoiding feature selection for simpler model creation.

Using all features in the dataset for better predictions.

Evaluating model performance using separate test data.

Skipping preprocessing steps to save time in modeling.

There are three correct answers.

Predictive Analysis Library for classification tasks.

Confusion matrix for model evaluation and validation.

Training and testing the model with prepared datasets.

Graph processing algorithms for network analysis.

Choose the correct answer.

Grouping data into clusters based on patterns in the dataset.

Assigning predefined labels to data points based on categories.

Identifying numeric relationships between input and output data.

Reducing the features in a dataset to improve performance.

Learning