Data Collection Data mining Knowledge Discovery Testing 
Domino Data Lab
MAY 20, 2021
Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Their tests are performed using C4.5-generated 1988), E-state data (Hall et al., Chawla et al., Pima Indian Diabetes (Smith et al.,
Domino Data Lab
AUGUST 1, 2021
After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. All we need to do is instantiate LimeTabularExplainer and give it access to the training data and the independent feature names.
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