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Data mining

$10-30 USD

Closed
Posted almost 8 years ago

$10-30 USD

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In this dataset, there are more variables than observations, traditional tools such as logistic regression fail. dataset includes 300 random variables (each drawn from [0,1]). In the file training dataset has 250 rows, and the test dataset has 19,750 rows. The goal is to build a model based on the training dataset that accurately classifies the test dataset. I need the best predicted probabilities for the 19,750 Target_Evaluate variable (which ranges from 0-1)-. Be careful what variable selection techniques you use, and don’t overfit --must be evaluated with area under the ROC curve. Submit a narrative describing your solution, source code and output.
Project ID: 10176620

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3 proposals
Remote project
Active 8 yrs ago

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3 freelancers are bidding on average $750 USD for this job
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Do you have the actual class in the test data already? If not, how would you measure the accuracy of the classification? ====== We are a team of Data Scientists. Our core areas of expertise are big data and machine learning.
$2,000 USD in 10 days
5.0 (6 reviews)
6.1
6.1
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I have done MS Software Engineering. I had a course on DATA ENINEERING and Artificial Intelligence . I know all data mining techniques (Predication & Classification) and data analysis techniques. I have worked on K-mean, ID3, Bayesian theorem, confusion matrix, Hungarian algo and so on .My research was on Rough Set Theory. Tools I uses are Weka, Matlab, RapiMiner, SPSS,Java, R programming and Excel . Please see my profile and reviews as well. Thanks
$150 USD in 5 days
4.9 (23 reviews)
5.0
5.0
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Hello I have been in this industry for five years and such jobs are my daily practice. As a state engineer I developed professional experience in data mining (logistic model, ROC curve, ... ) Looking forward to chat with you
$100 USD in 3 days
0.0 (1 review)
0.0
0.0

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United States
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Member since Apr 10, 2016

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