[2026-01-03T19:11:09.215Z] Running test renaissance-movie-lens_0 ... [2026-01-03T19:11:09.215Z] =============================================== [2026-01-03T19:11:09.215Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 19:11:08 2026 Epoch Time (ms): 1767467468869 [2026-01-03T19:11:09.215Z] variation: NoOptions [2026-01-03T19:11:09.215Z] JVM_OPTIONS: [2026-01-03T19:11:09.215Z] { \ [2026-01-03T19:11:09.215Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T19:11:09.215Z] echo "Nothing to be done for setup."; \ [2026-01-03T19:11:09.215Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17674619209086/renaissance-movie-lens_0"; \ [2026-01-03T19:11:09.215Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17674619209086/renaissance-movie-lens_0"; \ [2026-01-03T19:11:09.215Z] echo ""; echo "TESTING:"; \ [2026-01-03T19:11:09.215Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17674619209086/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T19:11:09.215Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17674619209086/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T19:11:09.215Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T19:11:09.215Z] echo "Nothing to be done for teardown."; \ [2026-01-03T19:11:09.215Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17674619209086/TestTargetResult"; [2026-01-03T19:11:09.215Z] [2026-01-03T19:11:09.215Z] TEST SETUP: [2026-01-03T19:11:09.215Z] Nothing to be done for setup. [2026-01-03T19:11:09.215Z] [2026-01-03T19:11:09.215Z] TESTING: [2026-01-03T19:11:11.454Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T19:11:11.454Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17674619209086/renaissance-movie-lens_0/launcher-191109-16130780195867413593/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T19:11:11.454Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T19:11:11.454Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T19:11:34.471Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T19:12:07.853Z] 19:12:02.291 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T19:12:11.614Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T19:12:13.867Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T19:12:13.867Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T19:12:14.589Z] GC before operation: completed in 619.055 ms, heap usage 259.515 MB -> 76.075 MB. [2026-01-03T19:12:42.320Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:12:53.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:13:06.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:13:17.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:13:24.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:13:30.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:13:36.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:13:43.321Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:13:44.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:13:44.347Z] The best model improves the baseline by 14.52%. [2026-01-03T19:13:45.489Z] Top recommended movies for user id 72: [2026-01-03T19:13:45.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:13:45.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:13:45.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:13:45.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:13:45.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:13:45.489Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90780.594 ms) ====== [2026-01-03T19:13:45.489Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T19:13:46.647Z] GC before operation: completed in 1048.954 ms, heap usage 220.973 MB -> 90.580 MB. [2026-01-03T19:13:57.441Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:14:08.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:14:19.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:14:28.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:14:32.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:14:38.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:14:44.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:14:49.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:14:49.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:14:50.305Z] The best model improves the baseline by 14.52%. [2026-01-03T19:14:51.009Z] Top recommended movies for user id 72: [2026-01-03T19:14:51.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:14:51.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:14:51.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:14:51.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:14:51.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:14:51.009Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64575.121 ms) ====== [2026-01-03T19:14:51.009Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T19:14:52.170Z] GC before operation: completed in 926.411 ms, heap usage 272.949 MB -> 88.764 MB. [2026-01-03T19:15:02.968Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:15:13.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:15:20.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:15:29.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:15:34.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:15:39.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:15:44.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:15:49.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:15:49.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:15:50.281Z] The best model improves the baseline by 14.52%. [2026-01-03T19:15:50.980Z] Top recommended movies for user id 72: [2026-01-03T19:15:50.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:15:50.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:15:50.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:15:50.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:15:50.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:15:50.980Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58932.174 ms) ====== [2026-01-03T19:15:50.980Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T19:15:51.690Z] GC before operation: completed in 865.181 ms, heap usage 631.583 MB -> 93.177 MB. [2026-01-03T19:16:00.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:16:09.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:16:16.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:16:25.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:16:30.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:16:35.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:16:39.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:16:45.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:16:46.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:16:46.317Z] The best model improves the baseline by 14.52%. [2026-01-03T19:16:47.035Z] Top recommended movies for user id 72: [2026-01-03T19:16:47.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:16:47.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:16:47.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:16:47.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:16:47.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:16:47.035Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55168.503 ms) ====== [2026-01-03T19:16:47.035Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T19:16:47.757Z] GC before operation: completed in 750.811 ms, heap usage 384.277 MB -> 90.008 MB. [2026-01-03T19:16:56.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:17:05.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:17:16.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:17:23.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:17:30.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:17:35.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:17:41.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:17:46.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:17:46.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:17:47.209Z] The best model improves the baseline by 14.52%. [2026-01-03T19:17:47.539Z] Top recommended movies for user id 72: [2026-01-03T19:17:47.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:17:47.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:17:47.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:17:47.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:17:47.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:17:47.539Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60004.443 ms) ====== [2026-01-03T19:17:47.539Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T19:17:48.252Z] GC before operation: completed in 667.766 ms, heap usage 391.062 MB -> 89.956 MB. [2026-01-03T19:17:57.098Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:18:05.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:18:14.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:18:22.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:18:26.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:18:32.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:18:37.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:18:43.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:18:44.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:18:44.060Z] The best model improves the baseline by 14.52%. [2026-01-03T19:18:44.772Z] Top recommended movies for user id 72: [2026-01-03T19:18:44.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:18:44.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:18:44.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:18:44.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:18:44.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:18:44.772Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56264.890 ms) ====== [2026-01-03T19:18:44.772Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T19:18:45.473Z] GC before operation: completed in 679.037 ms, heap usage 102.983 MB -> 89.723 MB. [2026-01-03T19:18:54.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:19:01.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:19:10.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:19:19.312Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:19:24.044Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:19:28.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:19:33.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:19:38.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:19:39.530Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:19:39.530Z] The best model improves the baseline by 14.52%. [2026-01-03T19:19:40.242Z] Top recommended movies for user id 72: [2026-01-03T19:19:40.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:19:40.242Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:19:40.242Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:19:40.242Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:19:40.242Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:19:40.242Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54894.713 ms) ====== [2026-01-03T19:19:40.242Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T19:19:40.957Z] GC before operation: completed in 703.649 ms, heap usage 306.333 MB -> 90.073 MB. [2026-01-03T19:19:49.831Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:19:57.069Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:20:05.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:20:13.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:20:16.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:20:21.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:20:26.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:20:31.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:20:31.497Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:20:31.822Z] The best model improves the baseline by 14.52%. [2026-01-03T19:20:32.146Z] Top recommended movies for user id 72: [2026-01-03T19:20:32.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:20:32.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:20:32.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:20:32.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:20:32.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:20:32.146Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51337.718 ms) ====== [2026-01-03T19:20:32.146Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T19:20:32.854Z] GC before operation: completed in 699.238 ms, heap usage 449.015 MB -> 90.470 MB. [2026-01-03T19:20:41.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:20:48.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:20:56.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:21:05.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:21:08.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:21:14.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:21:18.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:21:23.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:21:24.453Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:21:24.781Z] The best model improves the baseline by 14.52%. [2026-01-03T19:21:25.481Z] Top recommended movies for user id 72: [2026-01-03T19:21:25.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:21:25.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:21:25.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:21:25.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:21:25.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:21:25.481Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52539.930 ms) ====== [2026-01-03T19:21:25.481Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T19:21:26.201Z] GC before operation: completed in 678.010 ms, heap usage 132.369 MB -> 89.860 MB. [2026-01-03T19:21:35.113Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:21:43.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:21:51.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:21:58.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:22:04.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:22:08.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:22:13.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:22:17.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:22:18.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:22:18.864Z] The best model improves the baseline by 14.52%. [2026-01-03T19:22:19.567Z] Top recommended movies for user id 72: [2026-01-03T19:22:19.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:22:19.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:22:19.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:22:19.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:22:19.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:22:19.567Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53414.969 ms) ====== [2026-01-03T19:22:19.567Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T19:22:20.309Z] GC before operation: completed in 752.152 ms, heap usage 246.780 MB -> 90.244 MB. [2026-01-03T19:22:29.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:22:36.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:22:43.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:22:50.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:22:56.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:23:01.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:23:07.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:23:12.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:23:12.950Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:23:12.950Z] The best model improves the baseline by 14.52%. [2026-01-03T19:23:13.652Z] Top recommended movies for user id 72: [2026-01-03T19:23:13.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:23:13.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:23:13.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:23:13.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:23:13.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:23:13.652Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (53131.219 ms) ====== [2026-01-03T19:23:13.652Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T19:23:13.978Z] GC before operation: completed in 686.478 ms, heap usage 393.758 MB -> 90.178 MB. [2026-01-03T19:23:22.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:23:30.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:23:39.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:23:46.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:23:52.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:23:56.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:24:01.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:24:06.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:24:07.193Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:24:07.529Z] The best model improves the baseline by 14.52%. [2026-01-03T19:24:07.886Z] Top recommended movies for user id 72: [2026-01-03T19:24:07.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:24:07.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:24:07.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:24:07.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:24:07.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:24:07.886Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (53864.370 ms) ====== [2026-01-03T19:24:07.886Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T19:24:08.603Z] GC before operation: completed in 666.703 ms, heap usage 183.974 MB -> 90.250 MB. [2026-01-03T19:24:17.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:24:24.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:24:31.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:24:39.196Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:24:43.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:24:48.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:24:53.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:24:58.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:24:58.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:24:58.813Z] The best model improves the baseline by 14.52%. [2026-01-03T19:24:59.529Z] Top recommended movies for user id 72: [2026-01-03T19:24:59.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:24:59.529Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:24:59.529Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:24:59.529Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:24:59.529Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:24:59.529Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50636.694 ms) ====== [2026-01-03T19:24:59.529Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T19:24:59.863Z] GC before operation: completed in 704.038 ms, heap usage 299.371 MB -> 90.382 MB. [2026-01-03T19:25:08.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:25:16.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:25:24.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:25:32.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:25:36.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:25:41.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:25:47.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:25:52.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:25:52.970Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:25:53.299Z] The best model improves the baseline by 14.52%. [2026-01-03T19:25:53.625Z] Top recommended movies for user id 72: [2026-01-03T19:25:53.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:25:53.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:25:53.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:25:53.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:25:53.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:25:53.625Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (53723.632 ms) ====== [2026-01-03T19:25:53.625Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T19:25:54.344Z] GC before operation: completed in 684.650 ms, heap usage 322.624 MB -> 90.228 MB. [2026-01-03T19:26:03.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:26:10.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:26:19.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:26:26.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:26:31.322Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:26:36.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:26:41.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:26:45.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:26:46.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:26:47.187Z] The best model improves the baseline by 14.52%. [2026-01-03T19:26:47.513Z] Top recommended movies for user id 72: [2026-01-03T19:26:47.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:26:47.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:26:47.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:26:47.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:26:47.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:26:47.513Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53195.356 ms) ====== [2026-01-03T19:26:47.513Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T19:26:48.236Z] GC before operation: completed in 690.917 ms, heap usage 107.987 MB -> 93.039 MB. [2026-01-03T19:26:57.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:27:04.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:27:13.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:27:20.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:27:25.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:27:29.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:27:35.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:27:40.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:27:41.824Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:27:41.824Z] The best model improves the baseline by 14.52%. [2026-01-03T19:27:42.526Z] Top recommended movies for user id 72: [2026-01-03T19:27:42.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:27:42.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:27:42.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:27:42.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:27:42.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:27:42.526Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54215.103 ms) ====== [2026-01-03T19:27:42.526Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T19:27:43.235Z] GC before operation: completed in 688.988 ms, heap usage 118.489 MB -> 91.600 MB. [2026-01-03T19:27:52.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:27:57.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:28:06.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:28:12.743Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:28:17.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:28:22.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:28:26.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:28:30.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:28:31.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:28:31.822Z] The best model improves the baseline by 14.52%. [2026-01-03T19:28:32.147Z] Top recommended movies for user id 72: [2026-01-03T19:28:32.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:28:32.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:28:32.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:28:32.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:28:32.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:28:32.147Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49056.365 ms) ====== [2026-01-03T19:28:32.147Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T19:28:32.862Z] GC before operation: completed in 702.274 ms, heap usage 272.107 MB -> 90.320 MB. [2026-01-03T19:28:41.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:28:49.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:28:57.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:29:05.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:29:09.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:29:14.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:29:20.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:29:25.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:29:26.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:29:26.106Z] The best model improves the baseline by 14.52%. [2026-01-03T19:29:26.827Z] Top recommended movies for user id 72: [2026-01-03T19:29:26.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:29:26.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:29:26.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:29:26.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:29:26.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:29:26.827Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53691.973 ms) ====== [2026-01-03T19:29:26.827Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T19:29:27.537Z] GC before operation: completed in 695.009 ms, heap usage 358.810 MB -> 90.304 MB. [2026-01-03T19:29:36.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:29:43.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:29:52.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:29:59.752Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:30:04.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:30:09.221Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:30:13.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:30:19.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:30:20.147Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:30:20.147Z] The best model improves the baseline by 14.52%. [2026-01-03T19:30:20.868Z] Top recommended movies for user id 72: [2026-01-03T19:30:20.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:30:20.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:30:20.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:30:20.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:30:20.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:30:20.868Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53519.810 ms) ====== [2026-01-03T19:30:20.868Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T19:30:21.582Z] GC before operation: completed in 688.323 ms, heap usage 390.914 MB -> 90.516 MB. [2026-01-03T19:30:30.455Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T19:30:37.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T19:30:46.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T19:30:53.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T19:30:58.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T19:31:03.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T19:31:09.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T19:31:13.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T19:31:13.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T19:31:14.321Z] The best model improves the baseline by 14.52%. [2026-01-03T19:31:15.024Z] Top recommended movies for user id 72: [2026-01-03T19:31:15.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T19:31:15.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T19:31:15.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T19:31:15.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T19:31:15.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T19:31:15.024Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53277.869 ms) ====== [2026-01-03T19:31:17.957Z] ----------------------------------- [2026-01-03T19:31:17.957Z] renaissance-movie-lens_0_PASSED [2026-01-03T19:31:17.957Z] ----------------------------------- [2026-01-03T19:31:18.292Z] [2026-01-03T19:31:18.292Z] TEST TEARDOWN: [2026-01-03T19:31:18.292Z] Nothing to be done for teardown. [2026-01-03T19:31:18.292Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 19:31:18 2026 Epoch Time (ms): 1767468678082