[2026-02-04T23:35:53.316Z] Running test renaissance-movie-lens_0 ... [2026-02-04T23:35:53.316Z] =============================================== [2026-02-04T23:35:53.316Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:35:53 2026 Epoch Time (ms): 1770248153011 [2026-02-04T23:35:53.316Z] variation: NoOptions [2026-02-04T23:35:53.316Z] JVM_OPTIONS: [2026-02-04T23:35:53.316Z] { \ [2026-02-04T23:35:53.316Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T23:35:53.316Z] echo "Nothing to be done for setup."; \ [2026-02-04T23:35:53.316Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702468812919/renaissance-movie-lens_0"; \ [2026-02-04T23:35:53.316Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702468812919/renaissance-movie-lens_0"; \ [2026-02-04T23:35:53.316Z] echo ""; echo "TESTING:"; \ [2026-02-04T23:35:53.316Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702468812919/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T23:35:53.316Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702468812919/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T23:35:53.316Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T23:35:53.316Z] echo "Nothing to be done for teardown."; \ [2026-02-04T23:35:53.316Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702468812919/TestTargetResult"; [2026-02-04T23:35:53.316Z] [2026-02-04T23:35:53.316Z] TEST SETUP: [2026-02-04T23:35:53.316Z] Nothing to be done for setup. [2026-02-04T23:35:53.316Z] [2026-02-04T23:35:53.316Z] TESTING: [2026-02-04T23:36:00.841Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-04T23:36:10.300Z] 23:36:10.114 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. [2026-02-04T23:36:14.649Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T23:36:15.046Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T23:36:15.046Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T23:36:15.046Z] GC before operation: completed in 125.664 ms, heap usage 146.358 MB -> 75.680 MB. [2026-02-04T23:36:26.540Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:36:32.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:36:36.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:36:40.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:36:43.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:36:45.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:36:47.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:36:49.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:36:50.089Z] 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. [2026-02-04T23:36:50.452Z] The best model improves the baseline by 14.52%. [2026-02-04T23:36:50.807Z] Top recommended movies for user id 72: [2026-02-04T23:36:50.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:36:50.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:36:50.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:36:50.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:36:50.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:36:50.807Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35572.564 ms) ====== [2026-02-04T23:36:50.807Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T23:36:50.807Z] GC before operation: completed in 135.659 ms, heap usage 391.101 MB -> 93.993 MB. [2026-02-04T23:36:54.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:36:58.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:37:02.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:37:05.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:37:07.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:37:09.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:37:12.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:37:13.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:37:14.292Z] 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. [2026-02-04T23:37:14.661Z] The best model improves the baseline by 14.52%. [2026-02-04T23:37:14.661Z] Top recommended movies for user id 72: [2026-02-04T23:37:14.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:37:14.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:37:14.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:37:14.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:37:14.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:37:14.661Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23955.011 ms) ====== [2026-02-04T23:37:14.661Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T23:37:15.026Z] GC before operation: completed in 128.496 ms, heap usage 540.417 MB -> 91.151 MB. [2026-02-04T23:37:19.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:37:22.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:37:25.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:37:28.584Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:37:30.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:37:32.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:37:34.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:37:36.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:37:36.606Z] 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. [2026-02-04T23:37:37.142Z] The best model improves the baseline by 14.52%. [2026-02-04T23:37:37.142Z] Top recommended movies for user id 72: [2026-02-04T23:37:37.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:37:37.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:37:37.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:37:37.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:37:37.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:37:37.142Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22169.916 ms) ====== [2026-02-04T23:37:37.142Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T23:37:37.142Z] GC before operation: completed in 142.335 ms, heap usage 557.867 MB -> 95.165 MB. [2026-02-04T23:37:40.347Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:37:43.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:37:46.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:37:50.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:37:52.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:37:53.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:37:55.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:37:57.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:37:57.807Z] 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. [2026-02-04T23:37:57.807Z] The best model improves the baseline by 14.52%. [2026-02-04T23:37:58.167Z] Top recommended movies for user id 72: [2026-02-04T23:37:58.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:37:58.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:37:58.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:37:58.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:37:58.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:37:58.167Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20989.781 ms) ====== [2026-02-04T23:37:58.167Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T23:37:58.167Z] GC before operation: completed in 140.592 ms, heap usage 639.183 MB -> 93.361 MB. [2026-02-04T23:38:02.349Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:38:04.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:38:08.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:38:11.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:38:13.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:38:15.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:38:16.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:38:18.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:38:19.156Z] 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. [2026-02-04T23:38:19.156Z] The best model improves the baseline by 14.52%. [2026-02-04T23:38:19.156Z] Top recommended movies for user id 72: [2026-02-04T23:38:19.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:38:19.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:38:19.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:38:19.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:38:19.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:38:19.156Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20903.143 ms) ====== [2026-02-04T23:38:19.156Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T23:38:19.528Z] GC before operation: completed in 144.185 ms, heap usage 713.296 MB -> 98.069 MB. [2026-02-04T23:38:22.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:38:25.886Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:38:29.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:38:32.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:38:34.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:38:36.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:38:37.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:38:39.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:38:40.207Z] 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. [2026-02-04T23:38:40.207Z] The best model improves the baseline by 14.52%. [2026-02-04T23:38:40.207Z] Top recommended movies for user id 72: [2026-02-04T23:38:40.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:38:40.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:38:40.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:38:40.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:38:40.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:38:40.207Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20983.556 ms) ====== [2026-02-04T23:38:40.207Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T23:38:40.589Z] GC before operation: completed in 158.381 ms, heap usage 345.989 MB -> 92.147 MB. [2026-02-04T23:38:43.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:38:47.010Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:38:49.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:38:52.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:38:54.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:38:55.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:38:57.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:38:59.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:39:00.056Z] 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. [2026-02-04T23:39:00.056Z] The best model improves the baseline by 14.52%. [2026-02-04T23:39:00.056Z] Top recommended movies for user id 72: [2026-02-04T23:39:00.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:39:00.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:39:00.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:39:00.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:39:00.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:39:00.057Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19627.226 ms) ====== [2026-02-04T23:39:00.057Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T23:39:00.437Z] GC before operation: completed in 135.449 ms, heap usage 232.497 MB -> 94.404 MB. [2026-02-04T23:39:03.666Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:39:06.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:39:09.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:39:11.846Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:39:13.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:39:14.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:39:16.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:39:18.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:39:18.700Z] 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. [2026-02-04T23:39:18.700Z] The best model improves the baseline by 14.52%. [2026-02-04T23:39:19.091Z] Top recommended movies for user id 72: [2026-02-04T23:39:19.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:39:19.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:39:19.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:39:19.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:39:19.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:39:19.091Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18732.759 ms) ====== [2026-02-04T23:39:19.091Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T23:39:19.091Z] GC before operation: completed in 133.865 ms, heap usage 636.216 MB -> 96.208 MB. [2026-02-04T23:39:22.324Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:39:24.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:39:27.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:39:30.569Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:39:31.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:39:33.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:39:35.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:39:37.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:39:37.385Z] 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. [2026-02-04T23:39:37.385Z] The best model improves the baseline by 14.52%. [2026-02-04T23:39:37.777Z] Top recommended movies for user id 72: [2026-02-04T23:39:37.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:39:37.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:39:37.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:39:37.777Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:39:37.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:39:37.777Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18512.384 ms) ====== [2026-02-04T23:39:37.777Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T23:39:37.777Z] GC before operation: completed in 129.496 ms, heap usage 305.766 MB -> 90.052 MB. [2026-02-04T23:39:41.023Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:39:43.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:39:46.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:39:49.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:39:50.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:39:52.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:39:54.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:39:56.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:39:56.101Z] 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. [2026-02-04T23:39:56.101Z] The best model improves the baseline by 14.52%. [2026-02-04T23:39:56.483Z] Top recommended movies for user id 72: [2026-02-04T23:39:56.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:39:56.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:39:56.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:39:56.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:39:56.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:39:56.483Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18616.293 ms) ====== [2026-02-04T23:39:56.483Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T23:39:56.483Z] GC before operation: completed in 122.463 ms, heap usage 215.743 MB -> 90.010 MB. [2026-02-04T23:39:59.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:40:02.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:40:06.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:40:09.365Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:40:10.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:40:12.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:40:14.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:40:16.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:40:16.103Z] 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. [2026-02-04T23:40:16.103Z] The best model improves the baseline by 14.52%. [2026-02-04T23:40:16.470Z] Top recommended movies for user id 72: [2026-02-04T23:40:16.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:40:16.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:40:16.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:40:16.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:40:16.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:40:16.470Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19933.679 ms) ====== [2026-02-04T23:40:16.470Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T23:40:16.470Z] GC before operation: completed in 131.849 ms, heap usage 456.347 MB -> 95.799 MB. [2026-02-04T23:40:19.662Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:40:22.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:40:25.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:40:27.774Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:40:29.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:40:31.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:40:32.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:40:34.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:40:34.679Z] 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. [2026-02-04T23:40:35.040Z] The best model improves the baseline by 14.52%. [2026-02-04T23:40:35.040Z] Top recommended movies for user id 72: [2026-02-04T23:40:35.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:40:35.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:40:35.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:40:35.040Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:40:35.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:40:35.040Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18504.111 ms) ====== [2026-02-04T23:40:35.040Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T23:40:35.040Z] GC before operation: completed in 133.959 ms, heap usage 291.408 MB -> 92.401 MB. [2026-02-04T23:40:38.229Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:40:40.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:40:43.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:40:46.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:40:48.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:40:50.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:40:51.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:40:53.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:40:53.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T23:40:53.661Z] The best model improves the baseline by 14.52%. [2026-02-04T23:40:54.070Z] Top recommended movies for user id 72: [2026-02-04T23:40:54.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:40:54.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:40:54.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:40:54.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:40:54.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:40:54.070Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18732.636 ms) ====== [2026-02-04T23:40:54.070Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T23:40:54.070Z] GC before operation: completed in 129.886 ms, heap usage 623.045 MB -> 93.822 MB. [2026-02-04T23:40:57.257Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:40:59.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:41:02.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:41:05.441Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:41:07.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:41:08.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:41:10.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:41:12.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:41:12.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T23:41:12.560Z] The best model improves the baseline by 14.52%. [2026-02-04T23:41:12.560Z] Top recommended movies for user id 72: [2026-02-04T23:41:12.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:41:12.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:41:12.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:41:12.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:41:12.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:41:12.560Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18494.526 ms) ====== [2026-02-04T23:41:12.560Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T23:41:12.560Z] GC before operation: completed in 125.468 ms, heap usage 201.710 MB -> 89.859 MB. [2026-02-04T23:41:15.781Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:41:18.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:41:21.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:41:24.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:41:26.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:41:27.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:41:29.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:41:31.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:41:32.118Z] 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. [2026-02-04T23:41:32.118Z] The best model improves the baseline by 14.52%. [2026-02-04T23:41:32.490Z] Top recommended movies for user id 72: [2026-02-04T23:41:32.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:41:32.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:41:32.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:41:32.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:41:32.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:41:32.490Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19616.309 ms) ====== [2026-02-04T23:41:32.490Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T23:41:32.490Z] GC before operation: completed in 131.769 ms, heap usage 524.110 MB -> 92.742 MB. [2026-02-04T23:41:35.693Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:41:38.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:41:41.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:41:44.566Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:41:45.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:41:47.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:41:49.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:41:51.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:41:51.724Z] 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. [2026-02-04T23:41:51.724Z] The best model improves the baseline by 14.52%. [2026-02-04T23:41:51.724Z] Top recommended movies for user id 72: [2026-02-04T23:41:51.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:41:51.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:41:51.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:41:51.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:41:51.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:41:51.724Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19349.259 ms) ====== [2026-02-04T23:41:51.724Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T23:41:52.093Z] GC before operation: completed in 133.082 ms, heap usage 179.247 MB -> 93.538 MB. [2026-02-04T23:41:55.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:41:57.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:42:00.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:42:03.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:42:04.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:42:06.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:42:08.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:42:10.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:42:10.310Z] 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. [2026-02-04T23:42:10.310Z] The best model improves the baseline by 14.52%. [2026-02-04T23:42:10.310Z] Top recommended movies for user id 72: [2026-02-04T23:42:10.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:42:10.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:42:10.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:42:10.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:42:10.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:42:10.310Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18511.569 ms) ====== [2026-02-04T23:42:10.310Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T23:42:10.674Z] GC before operation: completed in 131.969 ms, heap usage 367.810 MB -> 90.254 MB. [2026-02-04T23:42:13.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:42:16.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:42:18.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:42:22.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:42:23.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:42:25.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:42:26.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:42:28.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:42:29.084Z] 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. [2026-02-04T23:42:29.084Z] The best model improves the baseline by 14.52%. [2026-02-04T23:42:29.465Z] Top recommended movies for user id 72: [2026-02-04T23:42:29.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:42:29.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:42:29.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:42:29.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:42:29.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:42:29.465Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18795.665 ms) ====== [2026-02-04T23:42:29.465Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T23:42:29.465Z] GC before operation: completed in 129.132 ms, heap usage 641.720 MB -> 93.568 MB. [2026-02-04T23:42:32.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:42:35.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:42:38.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:42:40.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:42:42.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:42:44.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:42:46.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:42:47.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:42:48.103Z] 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. [2026-02-04T23:42:48.103Z] The best model improves the baseline by 14.52%. [2026-02-04T23:42:48.518Z] Top recommended movies for user id 72: [2026-02-04T23:42:48.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:42:48.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:42:48.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:42:48.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:42:48.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:42:48.518Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18865.572 ms) ====== [2026-02-04T23:42:48.518Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T23:42:48.518Z] GC before operation: completed in 131.951 ms, heap usage 175.889 MB -> 98.299 MB. [2026-02-04T23:42:51.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:42:54.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:42:57.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:42:59.860Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:43:01.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:43:03.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:43:05.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:43:07.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:43:07.110Z] 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. [2026-02-04T23:43:07.110Z] The best model improves the baseline by 14.52%. [2026-02-04T23:43:07.473Z] Top recommended movies for user id 72: [2026-02-04T23:43:07.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:43:07.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:43:07.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:43:07.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:43:07.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:43:07.473Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18955.880 ms) ====== [2026-02-04T23:43:08.270Z] ----------------------------------- [2026-02-04T23:43:08.270Z] renaissance-movie-lens_0_PASSED [2026-02-04T23:43:08.270Z] ----------------------------------- [2026-02-04T23:43:08.270Z] [2026-02-04T23:43:08.270Z] TEST TEARDOWN: [2026-02-04T23:43:08.270Z] Nothing to be done for teardown. [2026-02-04T23:43:08.270Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:43:08 2026 Epoch Time (ms): 1770248588009