[2026-01-20T23:12:43.076Z] Running test renaissance-movie-lens_0 ... [2026-01-20T23:12:43.076Z] =============================================== [2026-01-20T23:12:43.076Z] renaissance-movie-lens_0 Start Time: Tue Jan 20 23:12:42 2026 Epoch Time (ms): 1768950762786 [2026-01-20T23:12:43.076Z] variation: NoOptions [2026-01-20T23:12:43.076Z] JVM_OPTIONS: [2026-01-20T23:12:43.076Z] { \ [2026-01-20T23:12:43.076Z] echo ""; echo "TEST SETUP:"; \ [2026-01-20T23:12:43.076Z] echo "Nothing to be done for setup."; \ [2026-01-20T23:12:43.076Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689495185189/renaissance-movie-lens_0"; \ [2026-01-20T23:12:43.076Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689495185189/renaissance-movie-lens_0"; \ [2026-01-20T23:12:43.076Z] echo ""; echo "TESTING:"; \ [2026-01-20T23:12:43.076Z] "/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_17689495185189/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-20T23:12:43.076Z] 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_17689495185189/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-20T23:12:43.076Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-20T23:12:43.076Z] echo "Nothing to be done for teardown."; \ [2026-01-20T23:12:43.076Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689495185189/TestTargetResult"; [2026-01-20T23:12:43.076Z] [2026-01-20T23:12:43.076Z] TEST SETUP: [2026-01-20T23:12:43.076Z] Nothing to be done for setup. [2026-01-20T23:12:43.076Z] [2026-01-20T23:12:43.076Z] TESTING: [2026-01-20T23:12:50.770Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-20T23:13:00.190Z] 23:12:59.812 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-20T23:13:04.425Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-20T23:13:05.811Z] Training: 60056, validation: 20285, test: 19854 [2026-01-20T23:13:05.811Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-20T23:13:05.811Z] GC before operation: completed in 169.906 ms, heap usage 209.361 MB -> 75.731 MB. [2026-01-20T23:13:15.341Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:13:21.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:13:25.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:13:30.045Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:13:32.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:13:35.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:13:37.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:13:39.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:13:39.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:13:39.990Z] The best model improves the baseline by 14.52%. [2026-01-20T23:13:40.366Z] Top recommended movies for user id 72: [2026-01-20T23:13:40.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:13:40.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:13:40.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:13:40.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:13:40.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:13:40.366Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34492.490 ms) ====== [2026-01-20T23:13:40.366Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-20T23:13:40.366Z] GC before operation: completed in 142.042 ms, heap usage 178.164 MB -> 93.166 MB. [2026-01-20T23:13:44.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:13:47.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:13:51.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:13:54.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:13:56.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:13:58.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:14:00.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:14:02.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:14:02.374Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:14:02.374Z] The best model improves the baseline by 14.52%. [2026-01-20T23:14:02.747Z] Top recommended movies for user id 72: [2026-01-20T23:14:02.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:14:02.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:14:02.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:14:02.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:14:02.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:14:02.747Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22279.809 ms) ====== [2026-01-20T23:14:02.747Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-20T23:14:02.747Z] GC before operation: completed in 132.396 ms, heap usage 754.471 MB -> 92.423 MB. [2026-01-20T23:14:05.992Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:14:09.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:14:12.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:14:15.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:14:17.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:14:19.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:14:21.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:14:23.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:14:23.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:14:23.707Z] The best model improves the baseline by 14.52%. [2026-01-20T23:14:24.089Z] Top recommended movies for user id 72: [2026-01-20T23:14:24.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:14:24.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:14:24.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:14:24.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:14:24.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:14:24.090Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21246.572 ms) ====== [2026-01-20T23:14:24.090Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-20T23:14:24.090Z] GC before operation: completed in 132.952 ms, heap usage 313.167 MB -> 89.293 MB. [2026-01-20T23:14:27.361Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:14:30.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:14:33.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:14:37.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:14:39.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:14:40.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:14:42.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:14:44.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:14:45.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:14:45.080Z] The best model improves the baseline by 14.52%. [2026-01-20T23:14:45.080Z] Top recommended movies for user id 72: [2026-01-20T23:14:45.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:14:45.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:14:45.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:14:45.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:14:45.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:14:45.080Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21019.388 ms) ====== [2026-01-20T23:14:45.080Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-20T23:14:45.462Z] GC before operation: completed in 130.670 ms, heap usage 480.839 MB -> 89.856 MB. [2026-01-20T23:14:48.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:14:51.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:14:55.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:14:57.858Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:14:59.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:15:01.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:15:03.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:15:05.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:15:05.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:15:05.460Z] The best model improves the baseline by 14.52%. [2026-01-20T23:15:05.833Z] Top recommended movies for user id 72: [2026-01-20T23:15:05.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:15:05.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:15:05.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:15:05.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:15:05.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:15:05.834Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20323.058 ms) ====== [2026-01-20T23:15:05.834Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-20T23:15:05.834Z] GC before operation: completed in 128.871 ms, heap usage 197.647 MB -> 89.520 MB. [2026-01-20T23:15:09.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:15:11.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:15:14.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:15:17.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:15:19.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:15:21.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:15:23.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:15:24.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:15:24.919Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:15:24.919Z] The best model improves the baseline by 14.52%. [2026-01-20T23:15:25.309Z] Top recommended movies for user id 72: [2026-01-20T23:15:25.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:15:25.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:15:25.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:15:25.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:15:25.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:15:25.309Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19392.898 ms) ====== [2026-01-20T23:15:25.309Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-20T23:15:25.309Z] GC before operation: completed in 137.084 ms, heap usage 823.147 MB -> 94.113 MB. [2026-01-20T23:15:28.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:15:31.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:15:34.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:15:36.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:15:38.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:15:40.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:15:42.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:15:44.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:15:44.259Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:15:44.636Z] The best model improves the baseline by 14.52%. [2026-01-20T23:15:44.636Z] Top recommended movies for user id 72: [2026-01-20T23:15:44.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:15:44.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:15:44.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:15:44.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:15:44.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:15:44.636Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19334.768 ms) ====== [2026-01-20T23:15:44.636Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-20T23:15:44.636Z] GC before operation: completed in 127.243 ms, heap usage 342.325 MB -> 89.953 MB. [2026-01-20T23:15:47.996Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:15:50.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:15:53.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:15:56.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:15:58.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:15:59.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:16:01.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:16:03.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:16:03.117Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:16:03.117Z] The best model improves the baseline by 14.52%. [2026-01-20T23:16:03.500Z] Top recommended movies for user id 72: [2026-01-20T23:16:03.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:16:03.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:16:03.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:16:03.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:16:03.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:16:03.500Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18681.501 ms) ====== [2026-01-20T23:16:03.500Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-20T23:16:03.500Z] GC before operation: completed in 128.436 ms, heap usage 530.609 MB -> 90.537 MB. [2026-01-20T23:16:06.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:16:09.229Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:16:12.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:16:14.979Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:16:16.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:16:18.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:16:20.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:16:21.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:16:21.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:16:21.805Z] The best model improves the baseline by 14.52%. [2026-01-20T23:16:22.183Z] Top recommended movies for user id 72: [2026-01-20T23:16:22.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:16:22.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:16:22.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:16:22.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:16:22.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:16:22.183Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18455.981 ms) ====== [2026-01-20T23:16:22.183Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-20T23:16:22.183Z] GC before operation: completed in 129.631 ms, heap usage 325.446 MB -> 90.101 MB. [2026-01-20T23:16:25.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:16:28.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:16:30.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:16:33.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:16:35.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:16:36.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:16:38.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:16:40.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:16:40.672Z] 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. [2026-01-20T23:16:40.672Z] The best model improves the baseline by 14.52%. [2026-01-20T23:16:40.672Z] Top recommended movies for user id 72: [2026-01-20T23:16:40.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:16:40.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:16:40.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:16:40.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:16:40.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:16:40.672Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18651.080 ms) ====== [2026-01-20T23:16:40.672Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-20T23:16:41.070Z] GC before operation: completed in 137.427 ms, heap usage 467.293 MB -> 90.435 MB. [2026-01-20T23:16:43.561Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:16:46.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:16:49.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:16:51.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:16:53.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:16:55.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:16:57.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:16:59.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:16:59.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:16:59.254Z] The best model improves the baseline by 14.52%. [2026-01-20T23:16:59.662Z] Top recommended movies for user id 72: [2026-01-20T23:16:59.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:16:59.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:16:59.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:16:59.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:16:59.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:16:59.662Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18557.317 ms) ====== [2026-01-20T23:16:59.662Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-20T23:16:59.662Z] GC before operation: completed in 131.625 ms, heap usage 561.101 MB -> 93.522 MB. [2026-01-20T23:17:02.191Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:17:05.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:17:07.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:17:10.470Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:17:12.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:17:14.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:17:16.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:17:17.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:17:17.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:17:17.804Z] The best model improves the baseline by 14.52%. [2026-01-20T23:17:17.804Z] Top recommended movies for user id 72: [2026-01-20T23:17:17.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:17:17.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:17:17.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:17:17.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:17:17.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:17:17.804Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18290.816 ms) ====== [2026-01-20T23:17:17.804Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-20T23:17:18.187Z] GC before operation: completed in 127.445 ms, heap usage 561.615 MB -> 93.702 MB. [2026-01-20T23:17:20.693Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:17:23.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:17:26.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:17:28.946Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:17:30.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:17:33.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:17:34.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:17:36.459Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:17:36.830Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:17:36.830Z] The best model improves the baseline by 14.52%. [2026-01-20T23:17:36.830Z] Top recommended movies for user id 72: [2026-01-20T23:17:36.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:17:36.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:17:36.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:17:36.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:17:36.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:17:36.830Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18801.621 ms) ====== [2026-01-20T23:17:36.830Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-20T23:17:36.830Z] GC before operation: completed in 131.150 ms, heap usage 475.347 MB -> 90.495 MB. [2026-01-20T23:17:40.101Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:17:42.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:17:45.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:17:48.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:17:50.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:17:51.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:17:53.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:17:55.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:17:55.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:17:55.355Z] The best model improves the baseline by 14.52%. [2026-01-20T23:17:55.739Z] Top recommended movies for user id 72: [2026-01-20T23:17:55.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:17:55.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:17:55.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:17:55.739Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:17:55.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:17:55.739Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18703.320 ms) ====== [2026-01-20T23:17:55.739Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-20T23:17:55.739Z] GC before operation: completed in 124.777 ms, heap usage 440.831 MB -> 90.329 MB. [2026-01-20T23:17:59.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:18:01.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:18:04.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:18:07.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:18:08.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:18:10.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:18:12.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:18:13.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:18:13.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:18:13.917Z] The best model improves the baseline by 14.52%. [2026-01-20T23:18:13.917Z] Top recommended movies for user id 72: [2026-01-20T23:18:13.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:18:13.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:18:13.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:18:13.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:18:13.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:18:13.917Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18194.643 ms) ====== [2026-01-20T23:18:13.917Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-20T23:18:14.417Z] GC before operation: completed in 134.390 ms, heap usage 757.398 MB -> 94.274 MB. [2026-01-20T23:18:16.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:18:20.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:18:22.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:18:25.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:18:27.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:18:28.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:18:31.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:18:32.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:18:32.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:18:32.861Z] The best model improves the baseline by 14.52%. [2026-01-20T23:18:32.861Z] Top recommended movies for user id 72: [2026-01-20T23:18:32.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:18:32.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:18:32.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:18:32.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:18:32.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:18:32.861Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18790.125 ms) ====== [2026-01-20T23:18:32.861Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-20T23:18:33.235Z] GC before operation: completed in 128.713 ms, heap usage 563.471 MB -> 93.802 MB. [2026-01-20T23:18:35.754Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:18:39.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:18:41.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:18:44.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:18:45.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:18:47.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:18:49.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:18:50.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:18:51.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:18:51.353Z] The best model improves the baseline by 14.52%. [2026-01-20T23:18:51.353Z] Top recommended movies for user id 72: [2026-01-20T23:18:51.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:18:51.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:18:51.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:18:51.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:18:51.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:18:51.353Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18310.577 ms) ====== [2026-01-20T23:18:51.353Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-20T23:18:51.353Z] GC before operation: completed in 132.356 ms, heap usage 530.234 MB -> 90.660 MB. [2026-01-20T23:18:54.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:18:57.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:18:59.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:02.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:04.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:06.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:07.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:09.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:09.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:19:09.681Z] The best model improves the baseline by 14.52%. [2026-01-20T23:19:09.681Z] Top recommended movies for user id 72: [2026-01-20T23:19:09.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:19:09.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:19:09.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:19:09.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:19:09.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:19:09.681Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18180.890 ms) ====== [2026-01-20T23:19:09.681Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-20T23:19:09.681Z] GC before operation: completed in 149.599 ms, heap usage 810.726 MB -> 94.084 MB. [2026-01-20T23:19:13.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:15.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:19:18.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:21.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:22.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:24.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:25.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:27.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:28.089Z] 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. [2026-01-20T23:19:28.089Z] The best model improves the baseline by 14.52%. [2026-01-20T23:19:28.089Z] Top recommended movies for user id 72: [2026-01-20T23:19:28.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:19:28.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:19:28.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:19:28.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:19:28.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:19:28.089Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18268.290 ms) ====== [2026-01-20T23:19:28.089Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-20T23:19:28.089Z] GC before operation: completed in 135.720 ms, heap usage 459.760 MB -> 90.472 MB. [2026-01-20T23:19:31.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:19:33.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:19:37.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:19:39.497Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:19:40.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:19:42.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:19:44.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:19:45.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:19:46.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-20T23:19:46.380Z] The best model improves the baseline by 14.52%. [2026-01-20T23:19:46.380Z] Top recommended movies for user id 72: [2026-01-20T23:19:46.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-20T23:19:46.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-20T23:19:46.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-20T23:19:46.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-20T23:19:46.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-20T23:19:46.380Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18203.483 ms) ====== [2026-01-20T23:19:47.168Z] ----------------------------------- [2026-01-20T23:19:47.168Z] renaissance-movie-lens_0_PASSED [2026-01-20T23:19:47.168Z] ----------------------------------- [2026-01-20T23:19:47.168Z] [2026-01-20T23:19:47.168Z] TEST TEARDOWN: [2026-01-20T23:19:47.168Z] Nothing to be done for teardown. [2026-01-20T23:19:47.168Z] renaissance-movie-lens_0 Finish Time: Tue Jan 20 23:19:46 2026 Epoch Time (ms): 1768951186996