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3.4. Metrics and scoring: quantifying the quali...
also known as balanced F-score or F-measure. fbeta_score (y_true,...score, also known as balanced F-score or F-measure. fbeta_score (y_true,...scikit-learn.org/stable/modules/model_evaluation.html -
Features in Histogram Gradient Boosting Trees &...
shuffle = False ) print ( f "Training sample size: {...shape [ 0 ] } " ) print ( f "Test sample size: { X_test...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
LeavePOut — scikit-learn 1.8.0 documentation
print ( f "Fold { i } :" ) ... print ( f " Train:...train_index } " ) ... print ( f " Test: index= { test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
print ( f "Fold { i } :" ) ... print ( f " Train:...train_index } " ) ... print ( f " Test: index= { test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
load_svmlight_file — scikit-learn 1.8.0 d...
load_svmlight_file ( f , * , n_features=None , dtype=<class...mblondel/svmlight-loader Parameters : f str, path-like, file-like or int...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html -
model_evaluation.rst.txt
\left|\left\{k: \hat{f}_{ik} \geq \hat{f}_{ij} \right\}\right|`....\left\{k: y_{ik} = 1, \hat{f}_{ik} \geq \hat{f}_{ij} \right\}`, :ma...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
DictVectorizer — scikit-learn 1.8.0 docum...
one signifying “f=ham”, the other “f=spam”. If a feature...the feature names (e.g., “f=ham” and “f=spam”). See also FeatureHasher...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
pydata-sphinx-theme.js
align-baseline";const f=document.createElement("i");p.append(f),f.classList="fa-solid...theme.`),m.onchange="auto"==e?h:""}function f(){const e=document.documentEl...scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
PatchExtractor — scikit-learn 1.8.0 docum...
] >>> print ( f "Image shape: { X . shape...transform ( X ) >>> print ( f "Patches shape: { pe_trans...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html -
StratifiedShuffleSplit — scikit-learn 1.8...
print ( f "Fold { i } :" ) ... print ( f " Train:...train_index } " ) ... print ( f " Test: index= { test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html