Analyze some Data using weka in data mining

Hello, I can do this job in one day, $20. Regards Yuriy Here is example using weka for your datasets: For KNN it looks like the best parameter is ("1 neigb."): KNN (1): Correctly Classified Instances 377 80.2128 % Incorrectly Classified Instances 93 19.7872 % Kappa statistic 0.6003 Mean absolute error 0.1979 Root mean squared error 0.4448 Relative absolute error 40.0253 % Root relative squared error 89.4734 % Total Number of Instances 470 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.786 0.185 0.775 0.786 0.78 0.801 Son 0.815 0.214 0.825 0.815 0.82 0.801 Daughter Weighted Avg. 0.802 0.201 0.802 0.802 0.802 0.801 === Confusion Matrix === a b <-- classified as 165 45 | a = Son 48 212 | b = Daughter ==================================== KNN (10): Correctly Classified Instances 216 78.2609 % Incorrectly Classified Instances 60 21.7391 % Kappa statistic 0.5663 Mean absolute error 0.3002 Root mean squared error 0.3726 Relative absolute error 59.7159 % Root relative squared error 73.7102 % Total

Hello there, I would love to help you out with this project. I have a lot of experience using Weka software for this type of analysis and I can show some works I have done before so you can check the quality of my work. Hope to hear back from you soon. Thanks

Hi, I have done extensive projects using WEKA. I can provide required work of 3-algo results including confusion matrices. Thanks. Rabia

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I am professional R and Matalab, and also can work on data using weka. I was working on development of Machine learning algo. Please contact me.

I am ready to work under your budget and timings Hi I am sam though I am new to freelancer but have worked at upwork from 6 years. I have a team of devlopers who will deliver the task within your timings Plz give chance Thanks

Will provide a complete idea of the files given and the well detailed explanation of the confusion matrix as required. Already the file is validated with KNN algorithm.