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`rules.build_model` currently assumes multiple sequences per FASTA file, where each FASTA file contains sequences all belonging to the family specified in the filename.
Assessment of model performa…
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Hello
I'm trying to understand the code. And... I have questions about model evaluation parts...
About evaluating RF classifier with the training data...
As I understand, the Random Forest cl…
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**Here is the section of code that is giving me an error, not sure how to fix it**
# initalise cross_val kfold (stratified)
cv = cb.cross_val.kfold(model=cb.model.PLS_SIMPLS, #…
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currently we have an alpha hack. what is the proper way to actually solve this?
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Hi Dominik,
hope you're well!
Just one thing I've noticed with the 2D slicer interface.
When you take the sample list and feed it to split_validation or cross_validation, the 2D slices are ra…
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classification_model(model, df,predictors_Logistic,outcome_var)
test_modified.to_csv("Logistic_Prediction.csv",columns=['Loan_ID','Loan_Status'])
TypeError Traceb…
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We often use clustering for validation of the results (eg: 5-fold cross validation & k-means clustering to assess the quality of results). But k-means requires you to know how many clusters are expect…
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Test k+1th data after k training and find accuracy
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### Bayes Theorem
#### posteriori probability / conditional probability
P(H|E) is the probability of the hypothesis (i.e. that E is a rose), given that we
have seen that E is red and long
#…
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# Tweet summary
For model robustness, ensure entity in test data should **NOT** be used in training data set, i.e. state feature in mobile career churn data, or year feature in graduate test result.
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