[2026-02-12T03:10:15.788Z] Running test renaissance-movie-lens_0 ... [2026-02-12T03:10:15.788Z] =============================================== [2026-02-12T03:10:15.788Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 03:10:15 2026 Epoch Time (ms): 1770865815024 [2026-02-12T03:10:15.788Z] variation: NoOptions [2026-02-12T03:10:15.788Z] JVM_OPTIONS: [2026-02-12T03:10:15.788Z] { \ [2026-02-12T03:10:15.788Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T03:10:15.788Z] echo "Nothing to be done for setup."; \ [2026-02-12T03:10:15.788Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708632078563/renaissance-movie-lens_0"; \ [2026-02-12T03:10:15.789Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708632078563/renaissance-movie-lens_0"; \ [2026-02-12T03:10:15.789Z] echo ""; echo "TESTING:"; \ [2026-02-12T03:10:15.789Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708632078563/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T03:10:15.789Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708632078563/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T03:10:15.789Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T03:10:15.789Z] echo "Nothing to be done for teardown."; \ [2026-02-12T03:10:15.789Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708632078563/TestTargetResult"; [2026-02-12T03:10:15.789Z] [2026-02-12T03:10:15.789Z] TEST SETUP: [2026-02-12T03:10:15.789Z] Nothing to be done for setup. [2026-02-12T03:10:15.789Z] [2026-02-12T03:10:15.789Z] TESTING: [2026-02-12T03:10:31.784Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T03:10:53.916Z] 03:10:50.986 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. [2026-02-12T03:10:56.989Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T03:10:57.958Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T03:10:57.959Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T03:10:57.959Z] GC before operation: completed in 285.026 ms, heap usage 197.413 MB -> 74.625 MB. [2026-02-12T03:11:13.916Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:11:20.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:11:29.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:11:35.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:11:38.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:11:43.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:11:47.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:11:51.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:11:52.597Z] 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. [2026-02-12T03:11:52.597Z] The best model improves the baseline by 14.52%. [2026-02-12T03:11:52.597Z] Top recommended movies for user id 72: [2026-02-12T03:11:52.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:11:52.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:11:52.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:11:52.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:11:52.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:11:52.597Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (54654.627 ms) ====== [2026-02-12T03:11:52.597Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T03:11:53.569Z] GC before operation: completed in 438.690 ms, heap usage 249.583 MB -> 85.544 MB. [2026-02-12T03:12:00.521Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:12:07.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:12:14.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:12:20.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:12:23.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:12:27.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:12:31.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:12:34.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:12:35.898Z] 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. [2026-02-12T03:12:35.898Z] The best model improves the baseline by 14.52%. [2026-02-12T03:12:35.898Z] Top recommended movies for user id 72: [2026-02-12T03:12:35.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:12:35.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:12:35.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:12:35.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:12:35.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:12:35.898Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42663.043 ms) ====== [2026-02-12T03:12:35.898Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T03:12:36.874Z] GC before operation: completed in 307.119 ms, heap usage 277.958 MB -> 87.699 MB. [2026-02-12T03:12:42.320Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:12:49.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:12:54.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:13:00.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:13:03.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:13:07.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:13:10.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:13:13.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:13:13.412Z] 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. [2026-02-12T03:13:13.412Z] The best model improves the baseline by 14.52%. [2026-02-12T03:13:13.412Z] Top recommended movies for user id 72: [2026-02-12T03:13:13.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:13:13.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:13:13.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:13:13.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:13:13.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:13:13.412Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37317.647 ms) ====== [2026-02-12T03:13:13.412Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T03:13:14.379Z] GC before operation: completed in 281.602 ms, heap usage 160.257 MB -> 88.237 MB. [2026-02-12T03:13:20.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:13:25.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:13:29.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:13:35.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:13:38.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:13:42.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:13:45.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:13:49.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:13:49.391Z] 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. [2026-02-12T03:13:49.391Z] The best model improves the baseline by 14.52%. [2026-02-12T03:13:49.391Z] Top recommended movies for user id 72: [2026-02-12T03:13:49.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:13:49.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:13:49.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:13:49.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:13:49.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:13:49.391Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35467.791 ms) ====== [2026-02-12T03:13:49.391Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T03:13:49.391Z] GC before operation: completed in 291.464 ms, heap usage 282.100 MB -> 88.661 MB. [2026-02-12T03:13:54.912Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:14:00.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:14:05.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:14:11.268Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:14:14.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:14:17.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:14:21.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:14:24.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:14:24.679Z] 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. [2026-02-12T03:14:24.679Z] The best model improves the baseline by 14.52%. [2026-02-12T03:14:24.679Z] Top recommended movies for user id 72: [2026-02-12T03:14:24.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:14:24.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:14:24.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:14:24.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:14:24.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:14:24.679Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35185.016 ms) ====== [2026-02-12T03:14:24.679Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T03:14:25.644Z] GC before operation: completed in 296.784 ms, heap usage 163.417 MB -> 88.444 MB. [2026-02-12T03:14:31.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:14:36.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:14:40.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:14:46.288Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:14:49.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:14:52.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:14:56.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:14:59.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:14:59.335Z] 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. [2026-02-12T03:15:00.301Z] The best model improves the baseline by 14.52%. [2026-02-12T03:15:00.301Z] Top recommended movies for user id 72: [2026-02-12T03:15:00.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:15:00.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:15:00.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:15:00.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:15:00.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:15:00.301Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34891.697 ms) ====== [2026-02-12T03:15:00.301Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T03:15:00.301Z] GC before operation: completed in 358.876 ms, heap usage 230.395 MB -> 88.812 MB. [2026-02-12T03:15:07.104Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:15:11.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:15:16.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:15:22.335Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:15:25.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:15:28.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:15:33.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:15:36.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:15:36.470Z] 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. [2026-02-12T03:15:36.470Z] The best model improves the baseline by 14.52%. [2026-02-12T03:15:37.436Z] Top recommended movies for user id 72: [2026-02-12T03:15:37.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:15:37.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:15:37.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:15:37.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:15:37.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:15:37.437Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36671.349 ms) ====== [2026-02-12T03:15:37.437Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T03:15:37.437Z] GC before operation: completed in 308.652 ms, heap usage 226.071 MB -> 88.752 MB. [2026-02-12T03:15:43.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:15:48.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:15:54.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:16:00.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:16:02.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:16:05.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:16:08.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:16:11.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:16:11.370Z] 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. [2026-02-12T03:16:11.370Z] The best model improves the baseline by 14.52%. [2026-02-12T03:16:12.334Z] Top recommended movies for user id 72: [2026-02-12T03:16:12.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:16:12.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:16:12.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:16:12.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:16:12.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:16:12.334Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34490.133 ms) ====== [2026-02-12T03:16:12.334Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T03:16:12.334Z] GC before operation: completed in 310.006 ms, heap usage 190.913 MB -> 88.971 MB. [2026-02-12T03:16:18.553Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:16:22.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:16:27.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:16:32.526Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:16:35.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:16:37.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:16:40.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:16:43.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:16:44.647Z] 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. [2026-02-12T03:16:44.647Z] The best model improves the baseline by 14.52%. [2026-02-12T03:16:44.647Z] Top recommended movies for user id 72: [2026-02-12T03:16:44.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:16:44.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:16:44.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:16:44.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:16:44.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:16:44.647Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32555.682 ms) ====== [2026-02-12T03:16:44.647Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T03:16:45.609Z] GC before operation: completed in 318.844 ms, heap usage 256.713 MB -> 88.929 MB. [2026-02-12T03:16:49.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:16:55.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:16:59.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:17:03.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:17:06.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:17:10.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:17:13.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:17:16.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:17:16.159Z] 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. [2026-02-12T03:17:16.159Z] The best model improves the baseline by 14.52%. [2026-02-12T03:17:16.159Z] Top recommended movies for user id 72: [2026-02-12T03:17:16.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:17:16.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:17:16.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:17:16.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:17:16.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:17:16.159Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31348.736 ms) ====== [2026-02-12T03:17:16.159Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T03:17:17.131Z] GC before operation: completed in 290.116 ms, heap usage 120.942 MB -> 88.914 MB. [2026-02-12T03:17:21.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:17:27.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:17:31.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:17:37.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:17:38.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:17:42.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:17:46.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:17:49.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:17:50.163Z] 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. [2026-02-12T03:17:50.163Z] The best model improves the baseline by 14.52%. [2026-02-12T03:17:50.163Z] Top recommended movies for user id 72: [2026-02-12T03:17:50.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:17:50.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:17:50.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:17:50.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:17:50.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:17:50.163Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33535.683 ms) ====== [2026-02-12T03:17:50.163Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T03:17:51.131Z] GC before operation: completed in 337.151 ms, heap usage 226.759 MB -> 88.747 MB. [2026-02-12T03:17:56.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:18:02.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:18:07.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:18:11.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:18:14.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:18:16.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:18:20.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:18:23.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:18:23.128Z] 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. [2026-02-12T03:18:23.128Z] The best model improves the baseline by 14.52%. [2026-02-12T03:18:23.128Z] Top recommended movies for user id 72: [2026-02-12T03:18:23.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:18:23.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:18:23.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:18:23.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:18:23.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:18:23.128Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32612.579 ms) ====== [2026-02-12T03:18:23.128Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T03:18:24.093Z] GC before operation: completed in 269.921 ms, heap usage 209.438 MB -> 88.972 MB. [2026-02-12T03:18:28.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:18:32.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:18:36.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:18:40.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:18:43.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:18:47.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:18:49.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:18:51.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:18:52.350Z] 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. [2026-02-12T03:18:52.350Z] The best model improves the baseline by 14.52%. [2026-02-12T03:18:52.350Z] Top recommended movies for user id 72: [2026-02-12T03:18:52.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:18:52.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:18:52.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:18:52.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:18:52.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:18:52.350Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28793.261 ms) ====== [2026-02-12T03:18:52.350Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T03:18:52.350Z] GC before operation: completed in 273.168 ms, heap usage 267.692 MB -> 89.187 MB. [2026-02-12T03:18:57.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:19:01.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:19:07.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:19:10.490Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:19:13.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:19:16.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:19:18.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:19:21.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:19:21.652Z] 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. [2026-02-12T03:19:21.652Z] The best model improves the baseline by 14.52%. [2026-02-12T03:19:21.652Z] Top recommended movies for user id 72: [2026-02-12T03:19:21.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:19:21.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:19:21.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:19:21.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:19:21.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:19:21.652Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28993.715 ms) ====== [2026-02-12T03:19:21.652Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T03:19:21.652Z] GC before operation: completed in 302.402 ms, heap usage 411.959 MB -> 89.151 MB. [2026-02-12T03:19:27.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:19:31.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:19:35.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:19:39.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:19:41.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:19:44.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:19:47.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:19:49.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:19:50.730Z] 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. [2026-02-12T03:19:50.730Z] The best model improves the baseline by 14.52%. [2026-02-12T03:19:50.730Z] Top recommended movies for user id 72: [2026-02-12T03:19:50.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:19:50.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:19:50.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:19:50.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:19:50.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:19:50.730Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28628.402 ms) ====== [2026-02-12T03:19:50.731Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T03:19:50.731Z] GC before operation: completed in 293.503 ms, heap usage 121.670 MB -> 89.028 MB. [2026-02-12T03:19:56.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:20:00.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:20:04.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:20:08.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:20:11.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:20:13.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:20:16.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:20:18.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:20:18.450Z] 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. [2026-02-12T03:20:18.450Z] The best model improves the baseline by 14.52%. [2026-02-12T03:20:19.505Z] Top recommended movies for user id 72: [2026-02-12T03:20:19.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:20:19.505Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:20:19.505Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:20:19.505Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:20:19.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:20:19.505Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28223.178 ms) ====== [2026-02-12T03:20:19.505Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T03:20:19.505Z] GC before operation: completed in 316.284 ms, heap usage 271.780 MB -> 89.081 MB. [2026-02-12T03:20:24.939Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:20:29.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:20:33.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:20:36.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:20:39.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:20:42.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:20:44.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:20:47.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:20:47.672Z] 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. [2026-02-12T03:20:47.672Z] The best model improves the baseline by 14.52%. [2026-02-12T03:20:47.672Z] Top recommended movies for user id 72: [2026-02-12T03:20:47.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:20:47.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:20:47.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:20:47.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:20:47.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:20:47.672Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28546.447 ms) ====== [2026-02-12T03:20:47.672Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T03:20:48.640Z] GC before operation: completed in 344.581 ms, heap usage 139.455 MB -> 88.954 MB. [2026-02-12T03:20:52.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:20:57.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:21:01.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:21:05.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:21:07.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:21:10.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:21:12.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:21:15.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:21:15.527Z] 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. [2026-02-12T03:21:15.527Z] The best model improves the baseline by 14.52%. [2026-02-12T03:21:15.527Z] Top recommended movies for user id 72: [2026-02-12T03:21:15.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:21:15.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:21:15.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:21:15.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:21:15.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:21:15.527Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27430.689 ms) ====== [2026-02-12T03:21:15.527Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T03:21:16.488Z] GC before operation: completed in 276.709 ms, heap usage 272.370 MB -> 88.985 MB. [2026-02-12T03:21:21.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:21:25.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:21:31.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:21:35.329Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:21:38.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:21:41.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:21:44.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:21:47.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:21:47.613Z] 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. [2026-02-12T03:21:47.613Z] The best model improves the baseline by 14.52%. [2026-02-12T03:21:47.613Z] Top recommended movies for user id 72: [2026-02-12T03:21:47.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:21:47.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:21:47.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:21:47.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:21:47.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:21:47.613Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31742.746 ms) ====== [2026-02-12T03:21:47.613Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T03:21:48.588Z] GC before operation: completed in 289.825 ms, heap usage 191.227 MB -> 88.995 MB. [2026-02-12T03:21:52.921Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T03:21:57.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T03:22:02.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T03:22:06.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T03:22:10.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T03:22:13.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T03:22:15.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T03:22:18.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T03:22:19.171Z] 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. [2026-02-12T03:22:19.171Z] The best model improves the baseline by 14.52%. [2026-02-12T03:22:19.171Z] Top recommended movies for user id 72: [2026-02-12T03:22:19.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T03:22:19.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T03:22:19.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T03:22:19.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T03:22:19.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T03:22:19.171Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31103.826 ms) ====== [2026-02-12T03:22:21.161Z] ----------------------------------- [2026-02-12T03:22:21.161Z] renaissance-movie-lens_0_PASSED [2026-02-12T03:22:21.161Z] ----------------------------------- [2026-02-12T03:22:21.161Z] [2026-02-12T03:22:21.161Z] TEST TEARDOWN: [2026-02-12T03:22:21.161Z] Nothing to be done for teardown. [2026-02-12T03:22:21.161Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 03:22:20 2026 Epoch Time (ms): 1770866540522