WebExplore and run machine learning code with Kaggle Notebooks Using data from German Credit Risk. code. New Notebook. table_chart. New Dataset. emoji_events. New Competition. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0. 0 Active Events. expand_more. call_split. … WebThe data contains 1000 observations (700 good loans, 300 bad loans) and the following variables: Account_status: a factor with four levels representing the amount of money in the account or "no chcking account" . Duration: a continuous variable, the duration in months. Credit_history: a factor with five levels representing possible credit ...
Data Import and Basic Manipulation in R - German Credit Dataset
Webcredit_history purpose amount savings employment_duration installment_rate personal_status_sex other_debtors present_residence property age other_installment_plans housing number_credits job … WebThe dataset in ARFF format here; The dataset in MS Excel format, where the values are encoded by symbols, here; A clearer description of the dataset in MS Excel format with … kunekune pigs for sale in washington
The UCI German Dataset - Hong Kong University of Science and …
WebNov 20, 2024 · German credit dataset was used in order to develop a decision tree with J.48 algorithm. We present characteristics of the dataset and the main results with the focus to the interpretation of Weka output. Paper could be useful for the users of Weka that aim to use it for credit scoring analysis. WebApr 21, 2024 · The German Credit Data contains data on 20 variables and the classification of whether an applicant is considered a Good or Bad credit risk for 1000 loan applicants. … WebMay 11, 2024 · Open Weka and go to the Explorer. Click “Open File” select the “credit-g.arff” file from wherever you saved it. At this point take note of the statistics of the selected attribute. Notice how Weka calculates the minimum, maximum, mean and standard deviation for your quick reference. Select the check marks next to all of the attributes ... margaret mead first book