Seizure Data from BEED operated on

https://archive.ics.uci.edu/dataset/1134/beed:+bangalore+eeg+epilepsy+dataset Dataset Details Dataset Characteristics: Multivariate Feature Type: Integer Subject Area: Health and Medicine Instances: 8,000 (2,000 per category) Classes: 4 Format: CSV Features: 16 (EEG channels) Associated Tasks: Classification No missing Values Data Structure • Subjects: 80 individuals (20 per file across four folders) • Time Points: 200 per subject • Explanatory Variables (X1–X16): 16 features representing EEG signal characteristics • Response Variable (y) (Column 17): Categorizes the EEG recordings into four distinct classes: o 3 – Recording of seizure events (including activities such as eye blinking or constant staring) o 2 – Recording of focal seizures o 1 – Recording of generalized seizures o 0 – Recording of healthy subjects (control group without epileptic seizures)