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[CI] ClassificationIT testDependentVariableIsAliasToNested failing #121415

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Description

@elasticsearchmachine

Build Scans:

Reproduction Line:

./gradlew ":x-pack:plugin:ml:qa:native-multi-node-tests:javaRestTest" --tests "org.elasticsearch.xpack.ml.integration.ClassificationIT.testDependentVariableIsAliasToNested" -Dtests.seed=2DBCF66B1E7A3A99 -Dtests.locale=dav-KE -Dtests.timezone=America/Indiana/Vincennes -Druntime.java=17 -Dtests.fips.enabled=true

Applicable branches:
8.x

Reproduces locally?:
N/A

Failure History:
See dashboard

Failure Message:

java.lang.AssertionError: Stats were: {"id":"dependent_variable_is_alias_to_nested","state":"started","progress":[{"phase":"reindexing","progress_percent":100},{"phase":"loading_data","progress_percent":100},{"phase":"feature_selection","progress_percent":100},{"phase":"coarse_parameter_search","progress_percent":100},{"phase":"fine_tuning_parameters","progress_percent":65},{"phase":"final_training","progress_percent":0},{"phase":"writing_results","progress_percent":0},{"phase":"inference","progress_percent":0}],"data_counts":{"training_docs_count":100,"test_docs_count":0,"skipped_docs_count":0},"memory_usage":{"timestamp":1739110845648,"peak_usage_bytes":54884,"status":"ok"},"analysis_stats":{"classification_stats":{"timestamp":1739110845648,"iteration":11,"hyperparameters":{"class_assignment_objective":"maximize_minimum_recall","alpha":2.220867926565293,"downsample_factor":0.3260818684967902,"eta":0.4147235408695942,"eta_growth_rate_per_tree":1.2395805014605752,"feature_bag_fraction"
[truncated]

Issue Reasons:

  • [8.x] 5 failures in test testDependentVariableIsAliasToNested (0.6% fail rate in 780 executions)
  • [8.x] 3 failures in step openjdk17_checkpart4_java-matrix (16.7% fail rate in 18 executions)
  • [8.x] 5 failures in pipeline elasticsearch-periodic (26.3% fail rate in 19 executions)

Note:
This issue was created using new test triage automation. Please report issues or feedback to es-delivery.

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:mlMachine learning>test-failureTriaged test failures from CITeam:MLMeta label for the ML teammedium-riskAn open issue or test failure that is a medium risk to future releases

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