[2026-04-24T18:06:27.812Z] Running test renaissance-movie-lens_0 ... [2026-04-24T18:06:27.812Z] =============================================== [2026-04-24T18:06:27.812Z] renaissance-movie-lens_0 Start Time: Fri Apr 24 18:06:26 2026 Epoch Time (ms): 1777053986995 [2026-04-24T18:06:27.812Z] variation: NoOptions [2026-04-24T18:06:27.812Z] JVM_OPTIONS: [2026-04-24T18:06:27.812Z] { \ [2026-04-24T18:06:27.812Z] echo ""; echo "TEST SETUP:"; \ [2026-04-24T18:06:27.812Z] echo "Nothing to be done for setup."; \ [2026-04-24T18:06:27.812Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17770529729156/renaissance-movie-lens_0"; \ [2026-04-24T18:06:27.812Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17770529729156/renaissance-movie-lens_0"; \ [2026-04-24T18:06:27.812Z] echo ""; echo "TESTING:"; \ [2026-04-24T18:06:27.812Z] "/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_17770529729156/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-24T18:06:27.812Z] 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_17770529729156/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-24T18:06:27.812Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-24T18:06:27.812Z] echo "Nothing to be done for teardown."; \ [2026-04-24T18:06:27.812Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17770529729156/TestTargetResult"; [2026-04-24T18:06:27.812Z] [2026-04-24T18:06:27.812Z] TEST SETUP: [2026-04-24T18:06:27.812Z] Nothing to be done for setup. [2026-04-24T18:06:27.812Z] [2026-04-24T18:06:27.812Z] TESTING: [2026-04-24T18:06:36.122Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-24T18:06:46.076Z] 18:06:45.762 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. [2026-04-24T18:06:49.117Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-24T18:06:50.074Z] Training: 60056, validation: 20285, test: 19854 [2026-04-24T18:06:50.074Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-24T18:06:50.074Z] GC before operation: completed in 102.328 ms, heap usage 309.976 MB -> 76.040 MB. [2026-04-24T18:06:58.527Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:07:04.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:07:08.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:07:12.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:07:14.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:07:16.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:07:18.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:07:20.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:07:21.135Z] 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. [2026-04-24T18:07:21.135Z] The best model improves the baseline by 14.52%. [2026-04-24T18:07:21.135Z] Top recommended movies for user id 72: [2026-04-24T18:07:21.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:07:21.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:07:21.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:07:21.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:07:21.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:07:21.135Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31238.962 ms) ====== [2026-04-24T18:07:21.135Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-24T18:07:21.135Z] GC before operation: completed in 156.110 ms, heap usage 192.774 MB -> 90.136 MB. [2026-04-24T18:07:25.314Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:07:28.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:07:31.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:07:33.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:07:35.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:07:37.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:07:38.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:07:40.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:07:41.342Z] 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. [2026-04-24T18:07:41.343Z] The best model improves the baseline by 14.52%. [2026-04-24T18:07:41.343Z] Top recommended movies for user id 72: [2026-04-24T18:07:41.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:07:41.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:07:41.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:07:41.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:07:41.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:07:41.343Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19997.807 ms) ====== [2026-04-24T18:07:41.343Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-24T18:07:41.343Z] GC before operation: completed in 124.573 ms, heap usage 152.872 MB -> 91.954 MB. [2026-04-24T18:07:44.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:07:47.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:07:50.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:07:52.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:07:54.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:07:56.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:07:58.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:08:00.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:08:00.855Z] 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. [2026-04-24T18:08:00.855Z] The best model improves the baseline by 14.52%. [2026-04-24T18:08:00.855Z] Top recommended movies for user id 72: [2026-04-24T18:08:00.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:08:00.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:08:00.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:08:00.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:08:00.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:08:00.855Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19499.443 ms) ====== [2026-04-24T18:08:00.855Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-24T18:08:00.855Z] GC before operation: completed in 124.287 ms, heap usage 272.591 MB -> 90.788 MB. [2026-04-24T18:08:03.892Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:08:05.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:08:09.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:08:11.044Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:08:13.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:08:13.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:08:15.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:08:16.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:08:17.860Z] 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. [2026-04-24T18:08:17.860Z] The best model improves the baseline by 14.52%. [2026-04-24T18:08:17.860Z] Top recommended movies for user id 72: [2026-04-24T18:08:17.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:08:17.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:08:17.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:08:17.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:08:17.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:08:17.860Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16577.169 ms) ====== [2026-04-24T18:08:17.860Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-24T18:08:17.860Z] GC before operation: completed in 139.941 ms, heap usage 370.578 MB -> 89.985 MB. [2026-04-24T18:08:19.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:08:23.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:08:25.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:08:28.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:08:30.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:08:31.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:08:33.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:08:34.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:08:34.752Z] 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. [2026-04-24T18:08:34.752Z] The best model improves the baseline by 14.52%. [2026-04-24T18:08:34.752Z] Top recommended movies for user id 72: [2026-04-24T18:08:34.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:08:34.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:08:34.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:08:34.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:08:34.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:08:34.752Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17523.846 ms) ====== [2026-04-24T18:08:34.752Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-24T18:08:35.711Z] GC before operation: completed in 127.038 ms, heap usage 550.819 MB -> 93.389 MB. [2026-04-24T18:08:38.763Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:08:40.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:08:43.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:08:45.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:08:46.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:08:48.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:08:49.809Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:08:51.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:08:51.776Z] 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. [2026-04-24T18:08:51.776Z] The best model improves the baseline by 14.52%. [2026-04-24T18:08:51.776Z] Top recommended movies for user id 72: [2026-04-24T18:08:51.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:08:51.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:08:51.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:08:51.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:08:51.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:08:51.776Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16609.943 ms) ====== [2026-04-24T18:08:51.776Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-24T18:08:51.776Z] GC before operation: completed in 127.246 ms, heap usage 359.012 MB -> 92.049 MB. [2026-04-24T18:08:54.821Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:08:57.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:08:59.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:09:01.877Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:09:02.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:09:04.804Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:09:05.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:09:06.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:09:06.717Z] 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. [2026-04-24T18:09:06.717Z] The best model improves the baseline by 14.52%. [2026-04-24T18:09:07.677Z] Top recommended movies for user id 72: [2026-04-24T18:09:07.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:09:07.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:09:07.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:09:07.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:09:07.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:09:07.677Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15236.301 ms) ====== [2026-04-24T18:09:07.677Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-24T18:09:07.677Z] GC before operation: completed in 120.307 ms, heap usage 489.550 MB -> 95.164 MB. [2026-04-24T18:09:09.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:09:12.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:09:14.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:09:16.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:09:17.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:09:18.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:09:20.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:09:21.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:09:21.133Z] 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. [2026-04-24T18:09:21.133Z] The best model improves the baseline by 14.52%. [2026-04-24T18:09:21.133Z] Top recommended movies for user id 72: [2026-04-24T18:09:21.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:09:21.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:09:21.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:09:21.133Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:09:21.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:09:21.133Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14006.022 ms) ====== [2026-04-24T18:09:21.133Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-24T18:09:21.133Z] GC before operation: completed in 123.942 ms, heap usage 249.323 MB -> 93.796 MB. [2026-04-24T18:09:24.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:09:26.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:09:28.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:09:30.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:09:31.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:09:32.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:09:33.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:09:34.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:09:34.925Z] 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. [2026-04-24T18:09:34.925Z] The best model improves the baseline by 14.52%. [2026-04-24T18:09:34.925Z] Top recommended movies for user id 72: [2026-04-24T18:09:34.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:09:34.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:09:34.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:09:34.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:09:34.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:09:34.925Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13736.755 ms) ====== [2026-04-24T18:09:34.925Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-24T18:09:36.063Z] GC before operation: completed in 142.173 ms, heap usage 384.864 MB -> 92.545 MB. [2026-04-24T18:09:38.029Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:09:41.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:09:43.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:09:44.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:09:45.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:09:46.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:09:48.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:09:49.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:09:49.848Z] 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. [2026-04-24T18:09:49.848Z] The best model improves the baseline by 14.52%. [2026-04-24T18:09:50.812Z] Top recommended movies for user id 72: [2026-04-24T18:09:50.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:09:50.812Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:09:50.812Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:09:50.812Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:09:50.812Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:09:50.812Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14983.457 ms) ====== [2026-04-24T18:09:50.812Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-24T18:09:50.812Z] GC before operation: completed in 119.180 ms, heap usage 240.415 MB -> 92.576 MB. [2026-04-24T18:09:53.853Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:09:55.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:09:57.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:10:00.083Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:10:01.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:10:03.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:10:03.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:10:05.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:10:05.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-24T18:10:05.953Z] The best model improves the baseline by 14.52%. [2026-04-24T18:10:05.953Z] Top recommended movies for user id 72: [2026-04-24T18:10:05.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:10:05.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:10:05.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:10:05.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:10:05.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:10:05.953Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15314.099 ms) ====== [2026-04-24T18:10:05.953Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-24T18:10:05.953Z] GC before operation: completed in 128.050 ms, heap usage 134.021 MB -> 93.060 MB. [2026-04-24T18:10:08.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:10:10.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:10:12.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:10:15.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:10:16.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:10:17.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:10:19.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:10:20.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:10:20.803Z] 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. [2026-04-24T18:10:20.803Z] The best model improves the baseline by 14.52%. [2026-04-24T18:10:20.803Z] Top recommended movies for user id 72: [2026-04-24T18:10:20.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:10:20.803Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:10:20.803Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:10:20.803Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:10:20.803Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:10:20.803Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15261.206 ms) ====== [2026-04-24T18:10:20.803Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-24T18:10:21.766Z] GC before operation: completed in 144.111 ms, heap usage 381.492 MB -> 92.698 MB. [2026-04-24T18:10:23.732Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:10:25.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:10:27.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:10:29.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:10:31.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:10:32.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:10:33.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:10:35.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:10:35.502Z] 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. [2026-04-24T18:10:35.502Z] The best model improves the baseline by 14.52%. [2026-04-24T18:10:35.502Z] Top recommended movies for user id 72: [2026-04-24T18:10:35.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:10:35.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:10:35.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:10:35.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:10:35.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:10:35.502Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14070.114 ms) ====== [2026-04-24T18:10:35.502Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-24T18:10:35.502Z] GC before operation: completed in 115.076 ms, heap usage 176.054 MB -> 95.060 MB. [2026-04-24T18:10:37.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:10:39.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:10:42.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:10:44.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:10:45.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:10:47.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:10:49.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:10:50.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:10:50.017Z] 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. [2026-04-24T18:10:50.017Z] The best model improves the baseline by 14.52%. [2026-04-24T18:10:50.017Z] Top recommended movies for user id 72: [2026-04-24T18:10:50.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:10:50.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:10:50.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:10:50.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:10:50.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:10:50.017Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14332.099 ms) ====== [2026-04-24T18:10:50.017Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-24T18:10:50.017Z] GC before operation: completed in 115.780 ms, heap usage 385.556 MB -> 92.689 MB. [2026-04-24T18:10:53.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:10:55.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:10:58.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:11:00.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:11:00.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:11:01.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:11:03.926Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:11:04.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:11:04.884Z] 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. [2026-04-24T18:11:04.884Z] The best model improves the baseline by 14.52%. [2026-04-24T18:11:04.884Z] Top recommended movies for user id 72: [2026-04-24T18:11:04.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:11:04.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:11:04.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:11:04.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:11:04.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:11:04.884Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15180.128 ms) ====== [2026-04-24T18:11:04.884Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-24T18:11:04.884Z] GC before operation: completed in 114.857 ms, heap usage 143.417 MB -> 93.782 MB. [2026-04-24T18:11:07.926Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:11:09.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:11:11.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:11:13.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:11:14.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:11:16.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:11:17.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:11:18.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:11:19.645Z] 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. [2026-04-24T18:11:19.645Z] The best model improves the baseline by 14.52%. [2026-04-24T18:11:19.645Z] Top recommended movies for user id 72: [2026-04-24T18:11:19.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:11:19.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:11:19.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:11:19.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:11:19.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:11:19.645Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14072.701 ms) ====== [2026-04-24T18:11:19.645Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-24T18:11:19.645Z] GC before operation: completed in 118.614 ms, heap usage 695.177 MB -> 94.121 MB. [2026-04-24T18:11:21.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:11:23.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:11:25.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:11:27.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:11:29.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:11:30.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:11:31.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:11:32.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:11:33.318Z] 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. [2026-04-24T18:11:33.318Z] The best model improves the baseline by 14.52%. [2026-04-24T18:11:33.318Z] Top recommended movies for user id 72: [2026-04-24T18:11:33.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:11:33.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:11:33.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:11:33.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:11:33.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:11:33.318Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13557.676 ms) ====== [2026-04-24T18:11:33.318Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-24T18:11:33.318Z] GC before operation: completed in 120.627 ms, heap usage 260.725 MB -> 92.891 MB. [2026-04-24T18:11:35.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:11:37.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:11:39.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:11:41.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:11:42.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:11:44.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:11:45.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:11:46.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:11:47.454Z] 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. [2026-04-24T18:11:47.454Z] The best model improves the baseline by 14.52%. [2026-04-24T18:11:47.454Z] Top recommended movies for user id 72: [2026-04-24T18:11:47.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:11:47.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:11:47.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:11:47.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:11:47.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:11:47.454Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14004.982 ms) ====== [2026-04-24T18:11:47.454Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-24T18:11:47.454Z] GC before operation: completed in 128.964 ms, heap usage 185.558 MB -> 95.897 MB. [2026-04-24T18:11:49.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:11:51.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:11:54.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:11:56.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:11:57.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:11:58.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:12:00.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:12:01.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:12:01.239Z] 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. [2026-04-24T18:12:01.239Z] The best model improves the baseline by 14.52%. [2026-04-24T18:12:02.198Z] Top recommended movies for user id 72: [2026-04-24T18:12:02.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:12:02.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:12:02.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:12:02.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:12:02.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:12:02.198Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14505.389 ms) ====== [2026-04-24T18:12:02.198Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-24T18:12:02.198Z] GC before operation: completed in 132.007 ms, heap usage 386.916 MB -> 92.762 MB. [2026-04-24T18:12:04.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-24T18:12:07.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-24T18:12:09.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-24T18:12:11.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-24T18:12:13.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-24T18:12:14.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-24T18:12:15.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-24T18:12:16.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-24T18:12:16.991Z] 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. [2026-04-24T18:12:16.991Z] The best model improves the baseline by 14.52%. [2026-04-24T18:12:16.991Z] Top recommended movies for user id 72: [2026-04-24T18:12:16.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-24T18:12:16.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-24T18:12:16.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-24T18:12:16.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-24T18:12:16.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-24T18:12:16.991Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15103.610 ms) ====== [2026-04-24T18:12:17.946Z] ----------------------------------- [2026-04-24T18:12:17.946Z] renaissance-movie-lens_0_PASSED [2026-04-24T18:12:17.946Z] ----------------------------------- [2026-04-24T18:12:17.946Z] [2026-04-24T18:12:17.946Z] TEST TEARDOWN: [2026-04-24T18:12:17.946Z] Nothing to be done for teardown. [2026-04-24T18:12:17.946Z] renaissance-movie-lens_0 Finish Time: Fri Apr 24 18:12:17 2026 Epoch Time (ms): 1777054337556