[2026-02-13T01:42:03.408Z] Running test renaissance-movie-lens_0 ... [2026-02-13T01:42:03.408Z] =============================================== [2026-02-13T01:42:03.408Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 01:42:02 2026 Epoch Time (ms): 1770946922751 [2026-02-13T01:42:03.408Z] variation: NoOptions [2026-02-13T01:42:03.408Z] JVM_OPTIONS: [2026-02-13T01:42:03.408Z] { \ [2026-02-13T01:42:03.408Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T01:42:03.408Z] echo "Nothing to be done for setup."; \ [2026-02-13T01:42:03.408Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709455831907/renaissance-movie-lens_0"; \ [2026-02-13T01:42:03.408Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709455831907/renaissance-movie-lens_0"; \ [2026-02-13T01:42:03.408Z] echo ""; echo "TESTING:"; \ [2026-02-13T01:42:03.409Z] "/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_17709455831907/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T01:42:03.409Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709455831907/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T01:42:03.409Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T01:42:03.409Z] echo "Nothing to be done for teardown."; \ [2026-02-13T01:42:03.409Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709455831907/TestTargetResult"; [2026-02-13T01:42:03.409Z] [2026-02-13T01:42:03.409Z] TEST SETUP: [2026-02-13T01:42:03.409Z] Nothing to be done for setup. [2026-02-13T01:42:03.409Z] [2026-02-13T01:42:03.409Z] TESTING: [2026-02-13T01:42:03.409Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T01:42:03.409Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17709455831907/renaissance-movie-lens_0/launcher-014202-1468851066639716865/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T01:42:03.409Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T01:42:03.409Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T01:42:08.253Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-13T01:42:15.532Z] 01:42:15.247 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. [2026-02-13T01:42:18.437Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T01:42:19.775Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T01:42:19.775Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T01:42:19.775Z] GC before operation: completed in 159.650 ms, heap usage 133.348 MB -> 75.408 MB. [2026-02-13T01:42:28.501Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:42:33.338Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:42:37.173Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:42:41.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:42:43.567Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:42:45.655Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:42:48.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:42:49.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:42:50.546Z] 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. [2026-02-13T01:42:50.546Z] The best model improves the baseline by 14.34%. [2026-02-13T01:42:50.546Z] Top recommended movies for user id 72: [2026-02-13T01:42:50.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:42:50.546Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:42:50.546Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:42:50.546Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:42:50.546Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:42:50.546Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31086.406 ms) ====== [2026-02-13T01:42:50.546Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T01:42:50.546Z] GC before operation: completed in 163.393 ms, heap usage 153.382 MB -> 88.781 MB. [2026-02-13T01:42:54.367Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:42:57.355Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:43:00.262Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:43:03.170Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:43:04.505Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:43:05.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:43:07.171Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:43:09.257Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:43:09.257Z] 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. [2026-02-13T01:43:09.257Z] The best model improves the baseline by 14.34%. [2026-02-13T01:43:09.900Z] Top recommended movies for user id 72: [2026-02-13T01:43:09.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:43:09.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:43:09.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:43:09.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:43:09.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:43:09.900Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18874.767 ms) ====== [2026-02-13T01:43:09.900Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T01:43:09.900Z] GC before operation: completed in 165.672 ms, heap usage 387.545 MB -> 90.037 MB. [2026-02-13T01:43:12.802Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:43:15.715Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:43:18.616Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:43:20.710Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:43:22.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:43:24.123Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:43:26.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:43:28.295Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:43:28.295Z] 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. [2026-02-13T01:43:28.295Z] The best model improves the baseline by 14.34%. [2026-02-13T01:43:28.295Z] Top recommended movies for user id 72: [2026-02-13T01:43:28.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:43:28.295Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:43:28.295Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:43:28.295Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:43:28.295Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:43:28.295Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18641.387 ms) ====== [2026-02-13T01:43:28.295Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T01:43:28.935Z] GC before operation: completed in 163.962 ms, heap usage 261.625 MB -> 88.252 MB. [2026-02-13T01:43:31.841Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:43:33.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:43:36.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:43:40.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:43:41.460Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:43:42.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:43:44.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:43:46.206Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:43:46.847Z] 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. [2026-02-13T01:43:46.847Z] The best model improves the baseline by 14.34%. [2026-02-13T01:43:46.847Z] Top recommended movies for user id 72: [2026-02-13T01:43:46.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:43:46.847Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:43:46.847Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:43:46.847Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:43:46.847Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:43:46.847Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18316.883 ms) ====== [2026-02-13T01:43:46.847Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T01:43:47.487Z] GC before operation: completed in 165.351 ms, heap usage 164.177 MB -> 88.351 MB. [2026-02-13T01:43:50.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:43:54.202Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:43:56.283Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:43:59.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:44:00.515Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:44:02.602Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:44:03.935Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:44:06.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:44:06.018Z] 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. [2026-02-13T01:44:06.018Z] The best model improves the baseline by 14.34%. [2026-02-13T01:44:06.018Z] Top recommended movies for user id 72: [2026-02-13T01:44:06.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:44:06.018Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:44:06.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:44:06.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:44:06.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:44:06.019Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19013.503 ms) ====== [2026-02-13T01:44:06.019Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T01:44:06.661Z] GC before operation: completed in 158.785 ms, heap usage 314.553 MB -> 88.575 MB. [2026-02-13T01:44:08.754Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:44:12.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:44:15.478Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:44:17.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:44:18.926Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:44:20.259Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:44:21.591Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:44:23.676Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:44:23.676Z] 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. [2026-02-13T01:44:23.676Z] The best model improves the baseline by 14.34%. [2026-02-13T01:44:23.676Z] Top recommended movies for user id 72: [2026-02-13T01:44:23.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:44:23.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:44:23.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:44:23.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:44:23.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:44:23.676Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17371.603 ms) ====== [2026-02-13T01:44:23.676Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T01:44:23.676Z] GC before operation: completed in 158.655 ms, heap usage 174.846 MB -> 88.623 MB. [2026-02-13T01:44:26.583Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:44:28.663Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:44:31.569Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:44:33.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:44:34.978Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:44:36.307Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:44:38.787Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:44:39.432Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:44:40.074Z] 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. [2026-02-13T01:44:40.074Z] The best model improves the baseline by 14.34%. [2026-02-13T01:44:40.074Z] Top recommended movies for user id 72: [2026-02-13T01:44:40.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:44:40.074Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:44:40.074Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:44:40.074Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:44:40.074Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:44:40.074Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16154.578 ms) ====== [2026-02-13T01:44:40.074Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T01:44:40.074Z] GC before operation: completed in 153.199 ms, heap usage 214.925 MB -> 88.596 MB. [2026-02-13T01:44:42.990Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:44:45.107Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:44:47.188Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:44:49.367Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:44:51.458Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:44:52.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:44:54.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:44:56.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:44:56.230Z] 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. [2026-02-13T01:44:56.230Z] The best model improves the baseline by 14.34%. [2026-02-13T01:44:56.230Z] Top recommended movies for user id 72: [2026-02-13T01:44:56.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:44:56.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:44:56.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:44:56.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:44:56.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:44:56.230Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16106.408 ms) ====== [2026-02-13T01:44:56.230Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T01:44:56.230Z] GC before operation: completed in 158.639 ms, heap usage 149.150 MB -> 88.804 MB. [2026-02-13T01:44:59.126Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:45:01.216Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:45:04.127Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:45:06.218Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:45:07.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:45:08.883Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:45:10.220Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:45:11.555Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:45:12.197Z] 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. [2026-02-13T01:45:12.197Z] The best model improves the baseline by 14.34%. [2026-02-13T01:45:12.197Z] Top recommended movies for user id 72: [2026-02-13T01:45:12.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:45:12.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:45:12.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:45:12.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:45:12.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:45:12.197Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15644.126 ms) ====== [2026-02-13T01:45:12.197Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T01:45:12.197Z] GC before operation: completed in 159.002 ms, heap usage 392.738 MB -> 89.151 MB. [2026-02-13T01:45:15.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:45:17.192Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:45:19.275Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:45:22.208Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:45:23.536Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:45:24.896Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:45:26.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:45:27.554Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:45:28.199Z] 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. [2026-02-13T01:45:28.199Z] The best model improves the baseline by 14.34%. [2026-02-13T01:45:28.199Z] Top recommended movies for user id 72: [2026-02-13T01:45:28.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:45:28.199Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:45:28.199Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:45:28.199Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:45:28.199Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:45:28.199Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15971.260 ms) ====== [2026-02-13T01:45:28.199Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T01:45:28.199Z] GC before operation: completed in 155.096 ms, heap usage 174.817 MB -> 88.903 MB. [2026-02-13T01:45:31.098Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:45:33.182Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:45:35.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:45:37.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:45:39.089Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:45:40.425Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:45:42.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:45:43.893Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:45:43.894Z] 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. [2026-02-13T01:45:43.894Z] The best model improves the baseline by 14.34%. [2026-02-13T01:45:43.894Z] Top recommended movies for user id 72: [2026-02-13T01:45:43.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:45:43.894Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:45:43.894Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:45:43.894Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:45:43.894Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:45:43.894Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15723.754 ms) ====== [2026-02-13T01:45:43.894Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T01:45:44.532Z] GC before operation: completed in 152.107 ms, heap usage 197.687 MB -> 88.661 MB. [2026-02-13T01:45:46.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:45:48.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:45:51.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:45:53.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:45:55.017Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:45:56.351Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:45:57.688Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:45:59.019Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:45:59.661Z] 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. [2026-02-13T01:45:59.661Z] The best model improves the baseline by 14.34%. [2026-02-13T01:45:59.661Z] Top recommended movies for user id 72: [2026-02-13T01:45:59.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:45:59.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:45:59.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:45:59.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:45:59.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:45:59.661Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15395.766 ms) ====== [2026-02-13T01:45:59.661Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T01:45:59.661Z] GC before operation: completed in 152.497 ms, heap usage 437.390 MB -> 92.567 MB. [2026-02-13T01:46:02.570Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:46:04.655Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:46:07.558Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:46:09.640Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:46:11.724Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:46:13.059Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:46:15.139Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:46:16.472Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:46:16.473Z] 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. [2026-02-13T01:46:16.473Z] The best model improves the baseline by 14.34%. [2026-02-13T01:46:17.113Z] Top recommended movies for user id 72: [2026-02-13T01:46:17.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:46:17.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:46:17.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:46:17.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:46:17.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:46:17.113Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16997.284 ms) ====== [2026-02-13T01:46:17.113Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T01:46:17.113Z] GC before operation: completed in 154.770 ms, heap usage 219.270 MB -> 89.127 MB. [2026-02-13T01:46:20.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:46:22.102Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:46:25.927Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:46:28.013Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:46:29.349Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:46:31.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:46:32.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:46:34.098Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:46:34.099Z] 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. [2026-02-13T01:46:34.738Z] The best model improves the baseline by 14.34%. [2026-02-13T01:46:34.738Z] Top recommended movies for user id 72: [2026-02-13T01:46:34.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:46:34.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:46:34.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:46:34.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:46:34.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:46:34.739Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17710.038 ms) ====== [2026-02-13T01:46:34.739Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T01:46:34.739Z] GC before operation: completed in 150.702 ms, heap usage 226.109 MB -> 88.901 MB. [2026-02-13T01:46:37.744Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:46:40.649Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:46:43.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:46:45.643Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:46:46.972Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:46:48.302Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:46:50.381Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:46:51.733Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:46:51.733Z] 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. [2026-02-13T01:46:51.733Z] The best model improves the baseline by 14.34%. [2026-02-13T01:46:51.733Z] Top recommended movies for user id 72: [2026-02-13T01:46:51.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:46:51.733Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:46:51.733Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:46:51.733Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:46:51.733Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:46:51.733Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16923.611 ms) ====== [2026-02-13T01:46:51.733Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T01:46:51.733Z] GC before operation: completed in 158.174 ms, heap usage 162.112 MB -> 90.738 MB. [2026-02-13T01:46:54.640Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:46:56.721Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:46:58.801Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:47:00.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:47:02.214Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:47:03.545Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:47:05.628Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:47:06.267Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:47:06.909Z] 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. [2026-02-13T01:47:06.909Z] The best model improves the baseline by 14.34%. [2026-02-13T01:47:06.909Z] Top recommended movies for user id 72: [2026-02-13T01:47:06.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:47:06.909Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:47:06.909Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:47:06.909Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:47:06.909Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:47:06.909Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15001.690 ms) ====== [2026-02-13T01:47:06.909Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T01:47:06.909Z] GC before operation: completed in 160.165 ms, heap usage 161.613 MB -> 88.903 MB. [2026-02-13T01:47:09.819Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:47:11.904Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:47:13.998Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:47:16.083Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:47:17.413Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:47:18.747Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:47:20.079Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:47:21.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:47:22.111Z] 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. [2026-02-13T01:47:22.111Z] The best model improves the baseline by 14.34%. [2026-02-13T01:47:22.111Z] Top recommended movies for user id 72: [2026-02-13T01:47:22.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:47:22.111Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:47:22.111Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:47:22.111Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:47:22.111Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:47:22.111Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14877.210 ms) ====== [2026-02-13T01:47:22.111Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T01:47:22.111Z] GC before operation: completed in 156.241 ms, heap usage 389.836 MB -> 89.406 MB. [2026-02-13T01:47:24.196Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:47:27.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:47:30.035Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:47:32.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:47:33.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:47:35.162Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:47:36.495Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:47:37.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:47:38.464Z] 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. [2026-02-13T01:47:38.464Z] The best model improves the baseline by 14.34%. [2026-02-13T01:47:38.464Z] Top recommended movies for user id 72: [2026-02-13T01:47:38.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:47:38.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:47:38.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:47:38.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:47:38.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:47:38.464Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16319.956 ms) ====== [2026-02-13T01:47:38.464Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T01:47:38.464Z] GC before operation: completed in 154.748 ms, heap usage 267.980 MB -> 89.015 MB. [2026-02-13T01:47:41.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:47:44.271Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:47:47.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:47:49.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:47:50.619Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:47:52.713Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:47:54.047Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:47:55.379Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:47:56.021Z] 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. [2026-02-13T01:47:56.021Z] The best model improves the baseline by 14.34%. [2026-02-13T01:47:56.021Z] Top recommended movies for user id 72: [2026-02-13T01:47:56.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:47:56.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:47:56.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:47:56.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:47:56.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:47:56.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17263.703 ms) ====== [2026-02-13T01:47:56.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T01:47:56.021Z] GC before operation: completed in 154.481 ms, heap usage 436.853 MB -> 92.626 MB. [2026-02-13T01:47:58.930Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:48:01.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:48:03.922Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:48:06.001Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:48:07.331Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:48:08.662Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:48:09.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:48:11.325Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:48:11.325Z] 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. [2026-02-13T01:48:11.325Z] The best model improves the baseline by 14.34%. [2026-02-13T01:48:11.969Z] Top recommended movies for user id 72: [2026-02-13T01:48:11.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T01:48:11.969Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T01:48:11.969Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T01:48:11.969Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T01:48:11.969Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T01:48:11.969Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15718.468 ms) ====== [2026-02-13T01:48:11.969Z] ----------------------------------- [2026-02-13T01:48:11.969Z] renaissance-movie-lens_0_PASSED [2026-02-13T01:48:11.969Z] ----------------------------------- [2026-02-13T01:48:11.969Z] [2026-02-13T01:48:11.969Z] TEST TEARDOWN: [2026-02-13T01:48:11.969Z] Nothing to be done for teardown. [2026-02-13T01:48:11.969Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 01:48:11 2026 Epoch Time (ms): 1770947291745