[2026-01-03T13:12:06.303Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:12:06.303Z] =============================================== [2026-01-03T13:12:06.303Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 07:12:06 2026 Epoch Time (ms): 1767445926121 [2026-01-03T13:12:06.303Z] variation: NoOptions [2026-01-03T13:12:06.303Z] JVM_OPTIONS: [2026-01-03T13:12:06.303Z] { \ [2026-01-03T13:12:06.303Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:12:06.303Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:12:06.303Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17674441064945/renaissance-movie-lens_0"; \ [2026-01-03T13:12:06.303Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17674441064945/renaissance-movie-lens_0"; \ [2026-01-03T13:12:06.303Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:12:06.303Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17674441064945/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:12:06.303Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17674441064945/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:12:06.303Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:12:06.303Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:12:06.303Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17674441064945/TestTargetResult"; [2026-01-03T13:12:06.303Z] [2026-01-03T13:12:06.303Z] TEST SETUP: [2026-01-03T13:12:06.303Z] Nothing to be done for setup. [2026-01-03T13:12:06.303Z] [2026-01-03T13:12:06.303Z] TESTING: [2026-01-03T13:12:07.591Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:12:07.591Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17674441064945/renaissance-movie-lens_0/launcher-071206-2157739643717672505/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:12:07.591Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:12:07.591Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:12:11.342Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-03T13:12:16.608Z] 07:12:15.962 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. [2026-01-03T13:12:18.650Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:12:19.277Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:12:19.277Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:12:19.277Z] GC before operation: completed in 172.111 ms, heap usage 285.190 MB -> 75.610 MB. [2026-01-03T13:12:25.170Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:12:29.001Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:12:32.755Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:12:35.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:12:36.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:12:39.025Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:12:41.070Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:12:43.116Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:12:43.116Z] 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. [2026-01-03T13:12:43.116Z] The best model improves the baseline by 14.34%. [2026-01-03T13:12:43.116Z] Top recommended movies for user id 72: [2026-01-03T13:12:43.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:12:43.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:12:43.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:12:43.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:12:43.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:12:43.116Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24028.543 ms) ====== [2026-01-03T13:12:43.116Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:12:43.741Z] GC before operation: completed in 235.420 ms, heap usage 248.240 MB -> 88.264 MB. [2026-01-03T13:12:46.563Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:12:49.385Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:12:52.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:12:54.490Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:12:56.291Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:12:57.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:12:59.617Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:13:01.686Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:13:01.686Z] 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. [2026-01-03T13:13:01.686Z] The best model improves the baseline by 14.34%. [2026-01-03T13:13:02.307Z] Top recommended movies for user id 72: [2026-01-03T13:13:02.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:13:02.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:13:02.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:13:02.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:13:02.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:13:02.307Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18471.296 ms) ====== [2026-01-03T13:13:02.307Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:13:02.307Z] GC before operation: completed in 152.895 ms, heap usage 465.989 MB -> 91.373 MB. [2026-01-03T13:13:04.435Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:13:07.293Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:13:10.185Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:13:13.048Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:13:14.342Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:13:15.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:13:17.673Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:13:18.970Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:13:18.970Z] 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. [2026-01-03T13:13:18.970Z] The best model improves the baseline by 14.34%. [2026-01-03T13:13:19.597Z] Top recommended movies for user id 72: [2026-01-03T13:13:19.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:13:19.597Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:13:19.597Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:13:19.597Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:13:19.597Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:13:19.597Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17227.496 ms) ====== [2026-01-03T13:13:19.597Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:13:19.597Z] GC before operation: completed in 208.436 ms, heap usage 233.113 MB -> 88.356 MB. [2026-01-03T13:13:22.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:13:24.498Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:13:27.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:13:30.344Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:13:31.754Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:13:32.751Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:13:34.128Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:13:35.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:13:36.075Z] 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. [2026-01-03T13:13:36.075Z] The best model improves the baseline by 14.34%. [2026-01-03T13:13:36.075Z] Top recommended movies for user id 72: [2026-01-03T13:13:36.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:13:36.075Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:13:36.075Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:13:36.075Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:13:36.075Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:13:36.075Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16519.073 ms) ====== [2026-01-03T13:13:36.075Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:13:36.075Z] GC before operation: completed in 199.344 ms, heap usage 215.935 MB -> 88.624 MB. [2026-01-03T13:13:38.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:13:41.008Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:13:43.910Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:13:45.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:13:47.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:13:48.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:13:49.944Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:13:51.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:13:51.266Z] 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. [2026-01-03T13:13:51.266Z] The best model improves the baseline by 14.34%. [2026-01-03T13:13:51.266Z] Top recommended movies for user id 72: [2026-01-03T13:13:51.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:13:51.266Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:13:51.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:13:51.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:13:51.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:13:51.266Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15057.978 ms) ====== [2026-01-03T13:13:51.266Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:13:51.903Z] GC before operation: completed in 195.293 ms, heap usage 221.661 MB -> 88.650 MB. [2026-01-03T13:13:53.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:13:56.890Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:13:58.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:14:01.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:14:02.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:14:03.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:14:05.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:14:06.337Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:14:06.337Z] 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. [2026-01-03T13:14:06.337Z] The best model improves the baseline by 14.34%. [2026-01-03T13:14:06.337Z] Top recommended movies for user id 72: [2026-01-03T13:14:06.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:14:06.337Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:14:06.337Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:14:06.337Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:14:06.337Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:14:06.337Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14981.670 ms) ====== [2026-01-03T13:14:06.337Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:14:06.973Z] GC before operation: completed in 176.097 ms, heap usage 165.814 MB -> 88.864 MB. [2026-01-03T13:14:08.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:14:11.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:14:14.127Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:14:16.160Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:14:17.452Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:14:18.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:14:20.367Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:14:21.659Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:14:21.659Z] 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. [2026-01-03T13:14:21.659Z] The best model improves the baseline by 14.34%. [2026-01-03T13:14:21.659Z] Top recommended movies for user id 72: [2026-01-03T13:14:21.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:14:21.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:14:21.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:14:21.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:14:21.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:14:21.659Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15180.102 ms) ====== [2026-01-03T13:14:21.659Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:14:22.287Z] GC before operation: completed in 127.142 ms, heap usage 140.760 MB -> 88.842 MB. [2026-01-03T13:14:24.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:14:26.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:14:29.255Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:14:31.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:14:32.597Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:14:33.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:14:35.229Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:14:36.519Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:14:36.519Z] 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. [2026-01-03T13:14:36.519Z] The best model improves the baseline by 14.34%. [2026-01-03T13:14:37.140Z] Top recommended movies for user id 72: [2026-01-03T13:14:37.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:14:37.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:14:37.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:14:37.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:14:37.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:14:37.140Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14873.113 ms) ====== [2026-01-03T13:14:37.140Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:14:37.140Z] GC before operation: completed in 165.988 ms, heap usage 161.729 MB -> 89.091 MB. [2026-01-03T13:14:39.199Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:14:42.062Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:14:44.083Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:14:46.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:14:47.355Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:14:48.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:14:50.667Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:14:51.961Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:14:51.962Z] 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. [2026-01-03T13:14:51.962Z] The best model improves the baseline by 14.34%. [2026-01-03T13:14:51.962Z] Top recommended movies for user id 72: [2026-01-03T13:14:51.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:14:51.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:14:51.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:14:51.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:14:51.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:14:51.962Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15063.365 ms) ====== [2026-01-03T13:14:51.962Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:14:52.581Z] GC before operation: completed in 153.877 ms, heap usage 193.848 MB -> 88.944 MB. [2026-01-03T13:14:54.607Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:14:56.628Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:14:59.487Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:15:01.508Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:15:02.802Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:15:04.110Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:15:05.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:15:06.715Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:15:06.715Z] 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. [2026-01-03T13:15:06.715Z] The best model improves the baseline by 14.34%. [2026-01-03T13:15:07.339Z] Top recommended movies for user id 72: [2026-01-03T13:15:07.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:15:07.339Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:15:07.339Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:15:07.339Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:15:07.339Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:15:07.339Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14721.659 ms) ====== [2026-01-03T13:15:07.339Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:15:07.339Z] GC before operation: completed in 153.138 ms, heap usage 228.599 MB -> 89.252 MB. [2026-01-03T13:15:09.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:15:11.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:15:14.365Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:15:16.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:15:17.734Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:15:19.036Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:15:20.335Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:15:21.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:15:22.330Z] 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. [2026-01-03T13:15:22.330Z] The best model improves the baseline by 14.34%. [2026-01-03T13:15:22.330Z] Top recommended movies for user id 72: [2026-01-03T13:15:22.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:15:22.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:15:22.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:15:22.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:15:22.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:15:22.330Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14985.903 ms) ====== [2026-01-03T13:15:22.330Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:15:22.330Z] GC before operation: completed in 168.729 ms, heap usage 234.789 MB -> 89.068 MB. [2026-01-03T13:15:25.176Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:15:27.068Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:15:29.110Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:15:31.952Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:15:33.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:15:33.900Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:15:35.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:15:37.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:15:37.327Z] 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. [2026-01-03T13:15:37.327Z] The best model improves the baseline by 14.34%. [2026-01-03T13:15:37.327Z] Top recommended movies for user id 72: [2026-01-03T13:15:37.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:15:37.327Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:15:37.327Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:15:37.327Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:15:37.327Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:15:37.327Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15090.769 ms) ====== [2026-01-03T13:15:37.327Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:15:37.327Z] GC before operation: completed in 158.666 ms, heap usage 113.470 MB -> 88.965 MB. [2026-01-03T13:15:40.218Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:15:42.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:15:44.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:15:46.391Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:15:47.745Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:15:49.053Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:15:51.130Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:15:52.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:15:52.468Z] 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. [2026-01-03T13:15:52.468Z] The best model improves the baseline by 14.34%. [2026-01-03T13:15:52.468Z] Top recommended movies for user id 72: [2026-01-03T13:15:52.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:15:52.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:15:52.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:15:52.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:15:52.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:15:52.468Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15029.628 ms) ====== [2026-01-03T13:15:52.468Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:15:53.144Z] GC before operation: completed in 201.840 ms, heap usage 404.710 MB -> 89.609 MB. [2026-01-03T13:15:55.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:15:57.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:16:00.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:16:02.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:16:03.983Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:16:04.618Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:16:06.688Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:16:07.999Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:16:07.999Z] 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. [2026-01-03T13:16:07.999Z] The best model improves the baseline by 14.34%. [2026-01-03T13:16:08.623Z] Top recommended movies for user id 72: [2026-01-03T13:16:08.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:16:08.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:16:08.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:16:08.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:16:08.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:16:08.623Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15508.656 ms) ====== [2026-01-03T13:16:08.623Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:16:08.623Z] GC before operation: completed in 151.724 ms, heap usage 162.111 MB -> 89.001 MB. [2026-01-03T13:16:10.664Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:16:13.517Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:16:15.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:16:17.594Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:16:18.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:16:20.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:16:21.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:16:22.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:16:22.780Z] 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. [2026-01-03T13:16:22.780Z] The best model improves the baseline by 14.34%. [2026-01-03T13:16:22.780Z] Top recommended movies for user id 72: [2026-01-03T13:16:22.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:16:22.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:16:22.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:16:22.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:16:22.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:16:22.780Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14349.686 ms) ====== [2026-01-03T13:16:22.780Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:16:22.780Z] GC before operation: completed in 208.303 ms, heap usage 216.934 MB -> 89.351 MB. [2026-01-03T13:16:25.624Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:16:27.727Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:16:29.776Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:16:31.855Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:16:33.922Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:16:35.222Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:16:36.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:16:38.035Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:16:38.035Z] 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. [2026-01-03T13:16:38.035Z] The best model improves the baseline by 14.34%. [2026-01-03T13:16:38.035Z] Top recommended movies for user id 72: [2026-01-03T13:16:38.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:16:38.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:16:38.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:16:38.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:16:38.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:16:38.035Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14995.506 ms) ====== [2026-01-03T13:16:38.035Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:16:38.035Z] GC before operation: completed in 223.609 ms, heap usage 384.884 MB -> 89.456 MB. [2026-01-03T13:16:40.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:16:42.726Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:16:45.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:16:47.670Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:16:49.040Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:16:49.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:16:51.104Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:16:52.412Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:16:53.039Z] 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. [2026-01-03T13:16:53.039Z] The best model improves the baseline by 14.34%. [2026-01-03T13:16:53.039Z] Top recommended movies for user id 72: [2026-01-03T13:16:53.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:16:53.039Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:16:53.039Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:16:53.039Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:16:53.039Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:16:53.039Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14748.861 ms) ====== [2026-01-03T13:16:53.039Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:16:53.039Z] GC before operation: completed in 223.107 ms, heap usage 176.156 MB -> 89.263 MB. [2026-01-03T13:16:55.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:16:57.980Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:17:00.065Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:17:03.087Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:17:03.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:17:05.048Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:17:07.143Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:17:08.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:17:08.476Z] 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. [2026-01-03T13:17:08.476Z] The best model improves the baseline by 14.34%. [2026-01-03T13:17:08.476Z] Top recommended movies for user id 72: [2026-01-03T13:17:08.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:17:08.476Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:17:08.476Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:17:08.476Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:17:08.476Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:17:08.476Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15271.291 ms) ====== [2026-01-03T13:17:08.476Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:17:08.476Z] GC before operation: completed in 210.804 ms, heap usage 244.769 MB -> 89.160 MB. [2026-01-03T13:17:11.349Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:17:13.408Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:17:15.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:17:17.511Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:17:19.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:17:20.048Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:17:21.335Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:17:22.637Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:17:22.637Z] 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. [2026-01-03T13:17:22.637Z] The best model improves the baseline by 14.34%. [2026-01-03T13:17:22.637Z] Top recommended movies for user id 72: [2026-01-03T13:17:22.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:17:22.637Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:17:22.637Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:17:22.637Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:17:22.637Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:17:22.637Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14110.570 ms) ====== [2026-01-03T13:17:22.637Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:17:23.268Z] GC before operation: completed in 150.082 ms, heap usage 115.503 MB -> 89.062 MB. [2026-01-03T13:17:25.312Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:17:27.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:17:30.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:17:32.237Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:17:33.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:17:34.818Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:17:36.110Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:17:37.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:17:37.419Z] 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. [2026-01-03T13:17:37.419Z] The best model improves the baseline by 14.34%. [2026-01-03T13:17:38.040Z] Top recommended movies for user id 72: [2026-01-03T13:17:38.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:17:38.040Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:17:38.040Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:17:38.040Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:17:38.040Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:17:38.040Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14815.690 ms) ====== [2026-01-03T13:17:38.040Z] ----------------------------------- [2026-01-03T13:17:38.040Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:17:38.040Z] ----------------------------------- [2026-01-03T13:17:38.040Z] [2026-01-03T13:17:38.040Z] TEST TEARDOWN: [2026-01-03T13:17:38.040Z] Nothing to be done for teardown. [2026-01-03T13:17:38.040Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 07:17:37 2026 Epoch Time (ms): 1767446257874