Orange lec 1

What is Machine Learning according to the lecture?

• A type of database system
  

• A subfield of artificial intelligence that enables machines to learn from past data
  

• A method to program computers with explicit instructions
  

• A type of cloud computing service

In the SUPERVISED Dataset, there is no need to have a target field

• True

• False

1. What does the "Target Field" represent in Machine Learning datasets?
   

• 1. The column that holds the input features
     

• 1. The column containing the labels or outcomes to predict
     

• 1. A special field used for data encryption
     

• 1. The primary key identifier of the dataset

In the datasets, rows are called..................

• Instances

• Features

In the datasets, Columns are called..................

• Instances

• Features

In your project, you are going to get the dataset from website called.............

• datasets

• kaggle

• Orange

In your project, The dataset must have a Target field ?

• True

• False

......................is a type from dataset learning types that have NO Target

• Supervised

• Unsupervised

What happens if the target field is missing?

• The model predicts perfectly
  

• The model can't be trained to predict outcomes
  

• Data is auto-normalized
  

• Features are enriched