Orange & Python Functions

What is Orange in the context of data mining?

• A programming language

• A fruit sorting software

• A data visualization and analysis tool

• A web browser

Which of these is a component of Orange?

• Visual programming widgets

• Command-line interface

• Compiler

• None of the above

The 'Data Table' widget in Orange allows users to:

• View data in tabular form

• Perform complex calculations

• Train machine learning models

• Create visualizations

The 'Test & Score' widget is used for:

• Building datasets

• Evaluating model performance

• Visualizing decision trees

• Data preprocessing

What is the purpose of splitting data into training and testing sets?

• To train multiple models

• To validate the model's performance

• To reduce the dataset size

• To handle missing values

Which function is used to split data into training and testing sets in scikit-learn?

• train_test_split()

• split_data()

• sklearn_split()

• test_train_split()

What is the output of df.info() in pandas?

• Descriptive statistics of numerical columns

• Summary of the DataFrame, including column names and data types

• Shape of the DataFrame

• None of the above

What is the purpose of standardization in data preprocessing?

• To handle missing values

• To normalize features to have zero mean and unit variance

• To reduce dataset size

• None of the above

Which metric is commonly used to evaluate the performance of a regression model?

• Accuracy

• F1-score

• Mean Squared Error (MSE)

• Confusion Matrix

What does the describe() function in pandas provide?

• A visual summary of the data

• Descriptive statistics for numeric columns

• A correlation matrix

• Data types of columns