LogisticRegression_Model_Iris-dataset_HyperTuning

Trained a Logistic regression model on iris dataset

Logistic Regression with Hyperparameter Tuning on Iris Dataset

Overview

A binary classification project using Logistic Regression to distinguish versicolor vs virginica Iris species, with Exploratory Data Analysis and GridSearchCV hyperparameter tuning.

Key Steps

• Data cleaning & filtering
• EDA: Pairplot, correlation heatmap, histograms, boxplots, violin plots
• Logistic Regression with GridSearchCV (5-fold CV) tuning:
  • penalty, C, solver, max_iter
• Model evaluation: test accuracy, classification report

Results

• Best Hyperparameters: (fill with your best_params_ output)
• Test Accuracy: (fill in score)
• Classification Report:

Visuals of EDA and Histograms and Correlation Heatmaps-violin plots