Missing value treatment
•Download as PPTX, PDF•
2 likes•189 views
This ppt tells about missing value treatment
Recommended
More Related Content
Recently uploaded
Recently uploaded (20)
Featured
Featured (20)
Missing value treatment
- 1. Whytotreat MissingValues Copyright © Cognitior www.cognitior.com
- 2. Outlook Humidity Windy Play Sunny High False No Sunny High True No Overcast High False Yes Rainy High False Yes Rainy Normal False Yes Rainy Normal True No Overcast Normal True Yes Sunny High False No Sunny High False No Rainy High False Yes Sunny High True Yes Overcast High True Yes Rainy Normal False Yes Overcast High True No Outlook Humidity Windy Play Sunny High False No Sunny High True No Overcast High False Yes Rainy High False Yes Rainy Normal False Yes Rainy Normal True No Overcast Normal True Yes Sunny High False No Sunny False No Rainy False Yes Sunny True Yes Overcast High True Yes Rainy Normal False Yes Overcast High True No Copyright © Cognitior www.cognitior.com Whymissingvaluetreatmentisrequired? Humidity #Records #Play Cricket %Play Cricket High 7 3 43% Normal 4 3 75% Missing 3 2 66% Humidity #Records #Play Cricket %Play Cricket High 10 5 50% Normal 4 3 75%
- 3. Copyright © Cognitior www.cognitior.com MissingvalueTreatment • Remove when the percentage more than 25 • For Categorical Data • Populate the data using mode • For Numerical Data • Populate the data using mean • Populate the data using median
- 4. ThankYou!!! AnyQuestions? support@cognitior.com Copyright © Cognitior www.cognitior.com
Editor's Notes
- Missing data in the training data set can reduce the power / fit of a model or can lead to a biased model because we have not analysed the behaviour and relationship with other variables correctly. It can lead to wrong prediction or classification.