What is the ratio of training and testing instances used in 10-fold cross validation (e.g: training 90% and testing 10percent) ?
It depends on kind of your sport. For canoe sprint testing ratio is 1/5 - 6 wk
K-fold cross-validation is done with 1/kth of your dataset as the test set while the rest is used for training but iterate through each k different dataset and average the classifier's errors. So your 90% for training and 10% for testing is correct.
what are the other types of classification errors while using machine learning such as False Positive or False Negative.?
05 June 2017 9,247 3 View
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How dependent ensemble method (j48 with realadaboost) reduced classification errors during prediction?
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IS accuracy and correctly classified instances measures are same. if same then therir formulas will also be same using weka?
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