Comparative Analysis of Decision Tree Approaches
$250-750 USD
Pagado a la entrega
This Project requires to compare at least 6 different decision tree algorithms (both standard ones and relatively new ones) to use in prediction of bankruptcy. The algorithms can be compared using Weka, IBM Modeler or via other softwares. Each algorithm will be compared on well-known evaluation metrics, such asprecision, recall, F-measure, ROC curve, mean absoluate error, etc.
For a sample publication please look:
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* The datasets for the study are Australian, German, Japanese bankruptcy datasets.
Nº del proyecto: #5180385
Sobre el proyecto
5 freelancers están ofertando un promedio de $493 por este trabajo
Hi I am ready to do the job. I have more than 10 years experience data warehousing and data mining experience. Thanks.
I have done much research work on Decision tree learning and can provide you this review document. Looking forward to discuss details.
Sir/Madam, Greetings. This is a Bioinformatician. Yes , I have interacted with numerous algorithms being in this field. Let me know your utmost budget and deadline Regards Nafeesa Mazhar