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Imbalanced datasets

This class was created by Brainscape user Mahsa Zamanifard. Visit their profile to learn more about the creator.

By: Mahsa Zamanifard
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Decks in this class (15)

Chapter 1-2 What is Imbalanced Classification
What s the difference between unb...,
How can we generate an artificial...,
Why should we make sure the minor...
3  cards
Chapter 3 Challenge of Imbalanced Classification
Class imbalance was widely acknow...,
What is label noise p 45,
Class noise is generally assumed ...
5  cards
Chapter 4 Tour of Model Evaluation Metrics
Choosing model evaluation metrics...,
We can divide evaluation metrics ...,
When are threshold metrics used p 55
30  cards
Chapter 5-11
Sometimes we want excellent predi...,
Precision appropriate when minimi...,
What is the definition sampling m...
17  cards
Chapter 12 Oversampling Methods
How does smote over sampling work...,
The combination of smote and unde...,
What s a downside of smote p 139
8  cards
Chapter 13 Undersampling Methods
What s the simplest undersampling...,
What s the major drawback of rand...,
Undersampling data p 157using heu...
11  cards
Chapter 14 Oversampling and Undersampling
What s a good starting point for ...,
There are combinations of oversam...,
____ may be the most popular over...
5  cards
Chapter 15 Cost-Sensitive Learning
What s cost sensitive learning p 195,
Most machine learning algorithms ...,
In cost sensitive learning instea...
19  cards
Chapter 16-20 Cost-Sensitive Modeling
How can we choose the class_weigh...,
The scikitlearn library provides ...,
The split points of the tree are ...
15  cards
Chapter 21 Probability Threshold Moving
A simple and straightforward appr...,
The default threshold may not rep...,
How is thresholding threshold tun...
6  cards
Chapter 22 Probability Calibration
Unfortunately the probabilities o...,
Why there s more need for probabi...,
Using machine learning models tha...
12  cards
Chapter 23 Ensemble Algorithms
What s a bootstrap sample p 295,
The process of creating new boots...,
An easy way to overcome class imb...
13  cards
Chapter 24 One-Class Classification
What s one class classification p...,
In what type of imbalanced datase...,
How does one class classification...
14  cards
Chapter 25 Framework for Imbalanced Classification Projects
Describe a systematic framework s...,
What s spot checking in applied m...,
Schema for choosing a metric p 325
26  cards
Projects
What does make_scorer do in sklea...,
Smote and enn both work better wh...,
Kde plots are somewhat like smoot...
3  cards

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Imbalanced datasets

  • Class purpose General learning

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