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Showing posts from March, 2020

AttributeError: module "enum" has no attribute IntFlag

Select Language Afrikaans Albanian Arabic Armenian Azerbaijani Basque Belarusian Bulgarian Catalan Chinese (Simplified) Chinese (Traditional) Croatian Czech Danish Dutch English Estonian Filipino Finnish French Galician Georgian German Greek Haitian Creole Hebrew Hindi Hungarian Icelandic Indonesian Irish Italian Japanese Korean Latvian Lithuanian Macedonian Malay Maltese Norwegian Persian Polish Portuguese Romanian Russian Serbian Slovak Slovenian Spanish Swahili Swedish Thai Turkish Ukrainian Urdu Vietnamese Welsh Yiddish Bengali Gujarati Marathi Nepali Punjabi Tamil Telugu Solution: enum34, a package written by Ethan farman, is known to cause problem in installing of many other packages. I was having problem while trying to install pyinstaller. Therefore, I ended up in this github issue and found out the gist that, enum causes installation issue in many packages. While, it was not revealed that which package caused the installation of enum, but the final solution pro

accuracy measures for classification problems in machine learning

Select Language Afrikaans Albanian Arabic Armenian Azerbaijani Basque Belarusian Bulgarian Catalan Chinese (Simplified) Chinese (Traditional) Croatian Czech Danish Dutch English Estonian Filipino Finnish French Galician Georgian German Greek Haitian Creole Hebrew Hindi Hungarian Icelandic Indonesian Irish Italian Japanese Korean Latvian Lithuanian Macedonian Malay Maltese Norwegian Persian Polish Portuguese Romanian Russian Serbian Slovak Slovenian Spanish Swahili Swedish Thai Turkish Ukrainian Urdu Vietnamese Welsh Yiddish Bengali Gujarati Marathi Nepali Punjabi Tamil Telugu Introduction You have built your first classification model, whether random forest, xgboost, neural network or a craftily made logistic regression. Now, you want to know how to measure and tell the accuracy of this classification model. We are exactly going to discuss this topic in this article. For the sake of the discussion, we will take a sample classification model. Let the problem be that am