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GitHub - codelibs/fess-testdata: Test Data Repo...
pdf source_code source_code text text tools tools xml xml README.md...codelibs / fess-testdata Public Test Data Repository for Crawling/Parsing...github.com/codelibs/fess-testdata -
How Texas will use AI to grade this year’s STAA...
“trying to do his or her best.” Test results will impact “how...Skip to main content STAAR testing begins across Texas on Tuesday....www.texastribune.org/2024/04/09/staar-artificial-intelligence-computer-grading-texas/ -
Contributing — scikit-learn 1.4.2 documentation
sklearn/linear_model/tests/test_logistic.py to run the tests specific to...path/to/tests_for_package see also Testing and improving test coverage...scikit-learn.org/stable/developers/contributing.html -
6.3. Preprocessing data — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
3.1. Cross-validation: evaluating estimator per...
available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/cross_validation.html -
model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Examples — scikit-learn 1.4.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...Comparison of F-test and mutual information Comparison of F-test and mutual...scikit-learn.org/stable/auto_examples/index.html -
sklearn.linear_model.SGDClassifier — scikit-lea...
classification of text documents Out-of-core classification of text documents...on a Text Dataset Semi-supervised Classification on a Text Dataset...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
sklearn.tree.DecisionTreeClassifier — scikit-le...
splitter {“best”, “random”}, default=”best” The strategy used...Supported strategies are “best” to choose the best split and “random”...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
3.3. Metrics and scoring: quantifying the quali...
(pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},\]...scikit-learn.org/stable/modules/model_evaluation.html