Actually, if we create many training/validation samples, and compare the AUC, we can observe that – on average – random forests perform better than logistic regressions. Here this model is (slightly) better than the logistic regression.German Credit Data Set Arff Firefighter Resume. Unfourtuanetly I have found only original file in.data format without column names. Or at least a synthetic generated data set? It is a good starter for practicing credit risk scoring. Another older available one is 'German Credit fraud data', which is in ARFF format as used by Weka machine learning.Three classifiers tested, Support Vector Machines (SVM), Random Forests, Naive Bayes, to select the most efficient for our data. This is an analysis and classification of german credit data (more information at this pdf).The dataset classifies people, described by a set of attributes, as low or high credit risks. German Credit Card UCI dataset: The UCI Statlog (German Credit Card) dataset (Statlog+German+Credit+Data), using the german.data file. TORRENT – FREE DOWNLOAD – CRACKED Call of Duty: World at War is a 2008 first-person shooter. Arff 86% 89% German credit dataset credit-g.arff. All instances in the training data are classified. German Credit Data Set Arff Training In California.
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