[2026-03-02T11:08:56.586Z] Running test renaissance-movie-lens_0 ... [2026-03-02T11:08:56.586Z] =============================================== [2026-03-02T11:08:56.586Z] renaissance-movie-lens_0 Start Time: Mon Mar 2 11:08:56 2026 Epoch Time (ms): 1772449736097 [2026-03-02T11:08:56.586Z] variation: NoOptions [2026-03-02T11:08:56.586Z] JVM_OPTIONS: [2026-03-02T11:08:56.586Z] { \ [2026-03-02T11:08:56.586Z] echo ""; echo "TEST SETUP:"; \ [2026-03-02T11:08:56.586Z] echo "Nothing to be done for setup."; \ [2026-03-02T11:08:56.586Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724485311984/renaissance-movie-lens_0"; \ [2026-03-02T11:08:56.586Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724485311984/renaissance-movie-lens_0"; \ [2026-03-02T11:08:56.587Z] echo ""; echo "TESTING:"; \ [2026-03-02T11:08:56.587Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724485311984/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-02T11:08:56.587Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724485311984/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-02T11:08:56.587Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-02T11:08:56.587Z] echo "Nothing to be done for teardown."; \ [2026-03-02T11:08:56.587Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17724485311984/TestTargetResult"; [2026-03-02T11:08:56.587Z] [2026-03-02T11:08:56.587Z] TEST SETUP: [2026-03-02T11:08:56.587Z] Nothing to be done for setup. [2026-03-02T11:08:56.587Z] [2026-03-02T11:08:56.587Z] TESTING: [2026-03-02T11:08:56.587Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-02T11:08:56.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17724485311984/renaissance-movie-lens_0/launcher-110856-7358482664988799568/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-02T11:08:56.587Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-02T11:08:56.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-02T11:09:01.452Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-02T11:09:08.881Z] 11:09:08.773 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-02T11:09:11.918Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-02T11:09:12.657Z] Training: 60056, validation: 20285, test: 19854 [2026-03-02T11:09:12.657Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-02T11:09:12.657Z] GC before operation: completed in 176.686 ms, heap usage 189.500 MB -> 75.372 MB. [2026-03-02T11:09:21.709Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:29.125Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:09:33.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:09:36.983Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:09:39.315Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:09:41.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:09:43.353Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:09:45.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:09:45.415Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:09:45.415Z] The best model improves the baseline by 14.34%. [2026-03-02T11:09:45.758Z] Top recommended movies for user id 72: [2026-03-02T11:09:45.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:09:45.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:09:45.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:09:45.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:09:45.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:09:45.758Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32940.407 ms) ====== [2026-03-02T11:09:45.758Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-02T11:09:46.105Z] GC before operation: completed in 187.398 ms, heap usage 230.541 MB -> 96.114 MB. [2026-03-02T11:09:49.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:52.196Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:09:55.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:09:57.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:09:58.743Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:00.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:02.163Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:03.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:04.273Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:10:04.273Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:04.273Z] Top recommended movies for user id 72: [2026-03-02T11:10:04.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:04.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:04.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:04.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:04.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:04.273Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18427.946 ms) ====== [2026-03-02T11:10:04.273Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-02T11:10:04.621Z] GC before operation: completed in 187.173 ms, heap usage 516.210 MB -> 91.150 MB. [2026-03-02T11:10:07.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:10.712Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:13.744Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:16.070Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:17.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:18.972Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:20.693Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:22.403Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:22.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:10:22.403Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:22.746Z] Top recommended movies for user id 72: [2026-03-02T11:10:22.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:22.746Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:22.746Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:22.746Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:22.746Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:22.747Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18115.619 ms) ====== [2026-03-02T11:10:22.747Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-02T11:10:22.747Z] GC before operation: completed in 175.635 ms, heap usage 206.717 MB -> 88.156 MB. [2026-03-02T11:10:25.783Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:28.109Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:30.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:32.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:34.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:36.214Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:37.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:39.638Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:39.638Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:10:39.638Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:39.638Z] Top recommended movies for user id 72: [2026-03-02T11:10:39.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:39.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:39.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:39.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:39.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:39.638Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16928.386 ms) ====== [2026-03-02T11:10:39.638Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-02T11:10:39.982Z] GC before operation: completed in 174.933 ms, heap usage 248.640 MB -> 88.470 MB. [2026-03-02T11:10:43.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:45.350Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:48.387Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:51.431Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:52.619Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:54.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:56.666Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:57.852Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:58.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:10:58.197Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:58.542Z] Top recommended movies for user id 72: [2026-03-02T11:10:58.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:58.542Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:58.542Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:58.542Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:58.542Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:58.542Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18520.756 ms) ====== [2026-03-02T11:10:58.542Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-02T11:10:58.542Z] GC before operation: completed in 160.357 ms, heap usage 250.357 MB -> 88.444 MB. [2026-03-02T11:11:01.586Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:04.626Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:06.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:10.081Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:11.794Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:12.989Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:15.305Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:16.499Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:16.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:11:16.842Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:16.842Z] Top recommended movies for user id 72: [2026-03-02T11:11:16.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:16.842Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:16.842Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:16.842Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:16.842Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:16.842Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18321.785 ms) ====== [2026-03-02T11:11:16.842Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-02T11:11:17.184Z] GC before operation: completed in 154.583 ms, heap usage 466.391 MB -> 92.289 MB. [2026-03-02T11:11:20.218Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:22.543Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:25.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:27.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:29.637Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:31.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:33.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:34.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:34.608Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:11:34.608Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:34.608Z] Top recommended movies for user id 72: [2026-03-02T11:11:34.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:34.608Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:34.608Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:34.608Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:34.609Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:34.609Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17549.822 ms) ====== [2026-03-02T11:11:34.609Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-02T11:11:34.958Z] GC before operation: completed in 159.300 ms, heap usage 206.245 MB -> 88.632 MB. [2026-03-02T11:11:37.369Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:39.684Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:42.715Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:44.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:46.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:47.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:49.035Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:50.742Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:50.742Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:11:50.742Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:50.742Z] Top recommended movies for user id 72: [2026-03-02T11:11:50.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:50.742Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:50.742Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:50.742Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:50.742Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:50.742Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15994.609 ms) ====== [2026-03-02T11:11:50.742Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-02T11:11:51.087Z] GC before operation: completed in 156.448 ms, heap usage 418.264 MB -> 89.287 MB. [2026-03-02T11:11:53.411Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:55.738Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:58.783Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:00.495Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:02.209Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:03.531Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:05.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:06.440Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:06.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:12:06.440Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:06.786Z] Top recommended movies for user id 72: [2026-03-02T11:12:06.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:06.786Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:06.786Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:06.786Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:06.786Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:06.786Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15755.652 ms) ====== [2026-03-02T11:12:06.786Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-02T11:12:06.786Z] GC before operation: completed in 180.879 ms, heap usage 705.933 MB -> 93.044 MB. [2026-03-02T11:12:09.833Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:12.159Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:14.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:16.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:18.520Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:19.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:20.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:22.600Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:22.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:12:22.600Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:22.944Z] Top recommended movies for user id 72: [2026-03-02T11:12:22.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:22.944Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:22.944Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:22.944Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:22.944Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:22.944Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15999.489 ms) ====== [2026-03-02T11:12:22.944Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-02T11:12:22.944Z] GC before operation: completed in 150.619 ms, heap usage 178.314 MB -> 88.978 MB. [2026-03-02T11:12:25.985Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:28.311Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:30.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:32.956Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:34.195Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:35.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:37.101Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:38.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:38.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:12:38.813Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:38.813Z] Top recommended movies for user id 72: [2026-03-02T11:12:38.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:38.813Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:38.813Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:38.813Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:38.813Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:38.813Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15839.975 ms) ====== [2026-03-02T11:12:38.813Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-02T11:12:39.155Z] GC before operation: completed in 178.324 ms, heap usage 419.921 MB -> 89.068 MB. [2026-03-02T11:12:41.476Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:43.805Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:46.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:48.449Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:49.637Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:51.351Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:52.538Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:54.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:54.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:12:54.250Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:54.597Z] Top recommended movies for user id 72: [2026-03-02T11:12:54.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:54.597Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:54.597Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:54.597Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:54.597Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:54.597Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15338.217 ms) ====== [2026-03-02T11:12:54.597Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-02T11:12:54.597Z] GC before operation: completed in 149.752 ms, heap usage 173.281 MB -> 88.869 MB. [2026-03-02T11:12:56.911Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:59.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:13:02.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:13:04.060Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:13:05.245Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:13:06.426Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:13:08.137Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:13:09.325Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:13:09.670Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:13:09.670Z] The best model improves the baseline by 14.34%. [2026-03-02T11:13:10.019Z] Top recommended movies for user id 72: [2026-03-02T11:13:10.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:13:10.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:13:10.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:13:10.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:13:10.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:13:10.019Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15291.580 ms) ====== [2026-03-02T11:13:10.019Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-02T11:13:10.019Z] GC before operation: completed in 158.965 ms, heap usage 596.787 MB -> 92.893 MB. [2026-03-02T11:13:12.332Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:13:14.650Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:13:17.678Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:13:19.390Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:13:20.572Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:13:22.281Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:13:23.469Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:13:25.181Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:13:25.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:13:25.181Z] The best model improves the baseline by 14.34%. [2026-03-02T11:13:25.524Z] Top recommended movies for user id 72: [2026-03-02T11:13:25.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:13:25.524Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:13:25.524Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:13:25.524Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:13:25.524Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:13:25.524Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15322.490 ms) ====== [2026-03-02T11:13:25.524Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-02T11:13:25.524Z] GC before operation: completed in 151.622 ms, heap usage 363.518 MB -> 89.132 MB. [2026-03-02T11:13:27.849Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:13:30.228Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:13:32.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:13:34.880Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:13:36.067Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:13:37.256Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:13:38.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:13:40.162Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:13:40.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:13:40.506Z] The best model improves the baseline by 14.34%. [2026-03-02T11:13:40.506Z] Top recommended movies for user id 72: [2026-03-02T11:13:40.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:13:40.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:13:40.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:13:40.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:13:40.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:13:40.506Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15050.112 ms) ====== [2026-03-02T11:13:40.506Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-02T11:13:40.850Z] GC before operation: completed in 156.969 ms, heap usage 442.224 MB -> 89.472 MB. [2026-03-02T11:13:43.172Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:13:45.493Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:13:47.819Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:13:50.146Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:13:51.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:13:52.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:13:54.251Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:13:55.463Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:13:55.806Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:13:55.806Z] The best model improves the baseline by 14.34%. [2026-03-02T11:13:55.806Z] Top recommended movies for user id 72: [2026-03-02T11:13:55.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:13:55.806Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:13:55.806Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:13:55.806Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:13:55.806Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:13:55.806Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15219.588 ms) ====== [2026-03-02T11:13:55.806Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-02T11:13:56.150Z] GC before operation: completed in 158.664 ms, heap usage 213.973 MB -> 88.904 MB. [2026-03-02T11:13:58.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:14:00.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:14:03.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:14:05.550Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:14:06.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:14:07.929Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:14:09.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:14:10.829Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:14:11.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:14:11.174Z] The best model improves the baseline by 14.34%. [2026-03-02T11:14:11.174Z] Top recommended movies for user id 72: [2026-03-02T11:14:11.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:14:11.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:14:11.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:14:11.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:14:11.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:14:11.174Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15203.511 ms) ====== [2026-03-02T11:14:11.174Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-02T11:14:11.520Z] GC before operation: completed in 154.775 ms, heap usage 170.702 MB -> 88.966 MB. [2026-03-02T11:14:13.850Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:14:16.174Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:14:18.498Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:14:20.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:14:22.012Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:14:23.726Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:14:25.004Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:14:26.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:14:26.723Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:14:26.723Z] The best model improves the baseline by 14.34%. [2026-03-02T11:14:27.068Z] Top recommended movies for user id 72: [2026-03-02T11:14:27.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:14:27.068Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:14:27.068Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:14:27.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:14:27.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:14:27.068Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15512.032 ms) ====== [2026-03-02T11:14:27.068Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-02T11:14:27.068Z] GC before operation: completed in 149.727 ms, heap usage 226.423 MB -> 88.876 MB. [2026-03-02T11:14:30.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:14:32.433Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:14:34.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:14:37.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:14:38.802Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:14:40.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:14:42.255Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:14:43.975Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:14:43.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:14:43.975Z] The best model improves the baseline by 14.34%. [2026-03-02T11:14:43.975Z] Top recommended movies for user id 72: [2026-03-02T11:14:43.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:14:43.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:14:43.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:14:43.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:14:43.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:14:43.975Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17020.251 ms) ====== [2026-03-02T11:14:43.975Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-02T11:14:44.319Z] GC before operation: completed in 149.606 ms, heap usage 244.919 MB -> 89.042 MB. [2026-03-02T11:14:46.640Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:14:48.968Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:14:52.015Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:14:54.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:14:55.608Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:14:57.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:14:59.036Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:15:00.224Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:15:00.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-02T11:15:00.568Z] The best model improves the baseline by 14.34%. [2026-03-02T11:15:00.920Z] Top recommended movies for user id 72: [2026-03-02T11:15:00.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:15:00.920Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:15:00.920Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:15:00.920Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:15:00.920Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:15:00.920Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16452.328 ms) ====== [2026-03-02T11:15:01.267Z] ----------------------------------- [2026-03-02T11:15:01.267Z] renaissance-movie-lens_0_PASSED [2026-03-02T11:15:01.267Z] ----------------------------------- [2026-03-02T11:15:01.267Z] [2026-03-02T11:15:01.267Z] TEST TEARDOWN: [2026-03-02T11:15:01.267Z] Nothing to be done for teardown. [2026-03-02T11:15:01.267Z] renaissance-movie-lens_0 Finish Time: Mon Mar 2 11:15:01 2026 Epoch Time (ms): 1772450101037