Dataset Information

Part A: Bank Marketing Dataset

Source: UCI Machine Learning Repository
File: bank-full.csv

Description

Data from direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe to a term deposit.

Features (16 attributes)

Feature	Type	Description
age	Numeric	Client's age
job	Categorical	Type of job
marital	Categorical	Marital status
education	Categorical	Education level
default	Binary	Has credit in default?
balance	Numeric	Average yearly balance
housing	Binary	Has housing loan?
loan	Binary	Has personal loan?
contact	Categorical	Contact communication type
day	Numeric	Last contact day of month
month	Categorical	Last contact month
duration	Numeric	Last contact duration (seconds)
campaign	Numeric	Contacts during this campaign
pdays	Numeric	Days since last contact
previous	Numeric	Previous campaign contacts
poutcome	Categorical	Previous campaign outcome

Target

• y: Has the client subscribed to a term deposit? (yes/no)

Statistics

• Total samples: 45,211
• Class distribution: 88% No, 12% Yes
• Missing values: None (but 'unknown' categories exist)

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Part B: Electrical Grid Stability Dataset

Source: UCI Machine Learning Repository
File: Data_for_UCI_named.csv

Description

Simulated data from a 4-node star network representing a simplified power grid. The goal is to predict grid stability.

Features (12 attributes)

Feature	Description
tau1-tau4	Reaction time of participants
p1-p4	Nominal power consumed/produced
g1-g4	Price elasticity coefficient
stab	Stability score (continuous)

Target

• stabf: Grid stability status (stable/unstable)

Statistics

• Total samples: 10,000
• Features: 12 numerical
• Class distribution: 36.2% Stable, 63.8% Unstable
• Missing values: None

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Download Instructions

1. Bank Marketing Dataset:

   • Visit: https://archive.ics.uci.edu/ml/datasets/Bank+Marketing
   • Download bank-full.csv

2. Grid Stability Dataset:

   • Visit: https://archive.ics.uci.edu/ml/datasets/Electrical+Grid+Stability+Simulated+Data
   • Download Data_for_UCI_named.csv

Place both files in this data/ directory.