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trying under and oversampling

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Tanushree Tunstall 2022-05-26 07:38:21 +01:00
parent 8f8306d948
commit 5779331981
5 changed files with 129 additions and 16 deletions
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6
classification_params_FS.py
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@ -574,6 +574,7 @@ param_grid_svc = [
#========
# LDA
# https://github.com/automl/auto-sklearn/blob/master/autosklearn/pipeline/components/classification/lda.py
# https://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html
#========
estimator = LinearDiscriminantAnalysis()
@ -605,9 +606,10 @@ param_grid_lda = [
#========
# Multinomial_nb
# https://github.com/automl/auto-sklearn/blob/master/autosklearn/pipeline/components/classification/multinomial_nb.py
# https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
#========
estimator = MultinomialNB(**rs)
estimator = MultinomialNB()
# Define pipleline with steps
pipe_mnb = Pipeline([
@ -635,6 +637,7 @@ param_grid_mnb = [
#========
# passive_aggressive
# https://github.com/automl/auto-sklearn/blob/master/autosklearn/pipeline/components/classification/passive_aggressive.py
# https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html
#========
estimator = PassiveAggressiveClassifier(**rs, **njobs)
@ -668,6 +671,7 @@ param_grid_pa = [
#========
# SGD
# https://github.com/automl/auto-sklearn/blob/master/autosklearn/pipeline/components/classification/sgd.py
# https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html
#========
estimator = SGDClassifier(**rs, **njobs)