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30d Readmission Prediction/Scikit-learn Baseline Hyperparameter Tuning
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30d Readmission Prediction/Scikit-learn Baseline Hyperparameter Tuning
Matthew McDermott
Created on August 23
|
Last edited on August 23
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Hyperparameter Tuning Results
Parameter importance with respect to
tuning.AUROC
Parameters
1-10
of 14
Config parameter
Importance
Correlation
imputation.add_indicator
imputation.add_indicator
dim_reduce.n_components
dim_reduce.n_components
model.min_samples_split
model.min_samples_split
model.max_leaf_nodes
model.max_leaf_nodes
model.ccp_alpha
model.ccp_alpha
model.n_estimators
model.n_estimators
model.min_impurity_decrease
model.min_impurity_decrease
feature_selector.convert_to_mean_var
feature_selector.convert_to_mean_var
model.max_samples
model.max_samples
model.min_weight_fraction_leaf
model.min_weight_fraction_leaf
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All Non-crashed Sweep Runs
12
Crashed Runs
18
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