pritam-777/Logistic-regression-use-cases-Algerian-Forest-Fires-Dataset

# Logistic-regression-use-cases-Algerian-Forest-Fires-Dataset ## Data Set Information: The dataset includes 244 instances that regroup a data of two regions of Algeria,namely the Bejaia region located in the northeast of Algeria and the Sidi Bel-abbes region located in the northwest of Algeria. 122 instances for each region. The period from June 2012 to September 2012. The dataset includes 11 attribues and 1 output attribue (class) The 244 instances have been classified into ‘fire’ (138 classes) and ‘not fire’ (106 classes) classes. ## Project Details: Exploratory Data Analysis and Feature Engineering of the datasets Using Logistic regression Model for Binary classification to Predict the Fire and Non Fire cases of the forest ### Accuracy : 0.98 ### Precision : 0.96 ### Recall : 1.0 ### F1_score : 0.98