pankush9096 / annual-income-prediction

This is a prediction model to predict annual income for an adult whether it will be more or less than 50K. and explaining all the classification model evaluation metrics and curve like ROC, AUC, Precision _recall, Gini, Ks_score, Logloss, Concordance.

Annual-Income-Prediction

Here we are using dataset that contains the information about individuals from various countries. Our target is to predict whether a person makes <=50k or >50k annually on basis of the other information available. Dataset consists of 32561 observations and 14 features describing individuals. We are evaluating the prediction on ROC_AUC

I am using LightGBM and will also show you the difference why LightGBM is better than XGboost.

I am also explaining all the evalusation metrics like ROC_Auc,Gini,KS Score, Concaordance, Precision_recall_f1 score

Here is the link to the dataset: http://archive.ics.uci.edu/ml/datasets/Adult.