[2026-01-21T01:14:06.833Z] Running test renaissance-movie-lens_0 ... [2026-01-21T01:14:06.833Z] =============================================== [2026-01-21T01:14:06.833Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 01:14:04 2026 Epoch Time (ms): 1768958044747 [2026-01-21T01:14:06.833Z] variation: NoOptions [2026-01-21T01:14:06.833Z] JVM_OPTIONS: [2026-01-21T01:14:06.833Z] { \ [2026-01-21T01:14:06.833Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T01:14:06.833Z] echo "Nothing to be done for setup."; \ [2026-01-21T01:14:06.833Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17689554003826/renaissance-movie-lens_0"; \ [2026-01-21T01:14:06.833Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17689554003826/renaissance-movie-lens_0"; \ [2026-01-21T01:14:06.833Z] echo ""; echo "TESTING:"; \ [2026-01-21T01:14:06.833Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17689554003826/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T01:14:06.833Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17689554003826/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T01:14:06.833Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T01:14:06.833Z] echo "Nothing to be done for teardown."; \ [2026-01-21T01:14:06.833Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17689554003826/TestTargetResult"; [2026-01-21T01:14:06.833Z] [2026-01-21T01:14:06.833Z] TEST SETUP: [2026-01-21T01:14:06.833Z] Nothing to be done for setup. [2026-01-21T01:14:06.833Z] [2026-01-21T01:14:06.833Z] TESTING: [2026-01-21T01:14:30.321Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T01:15:03.879Z] 01:15:00.385 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. [2026-01-21T01:15:12.936Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T01:15:14.660Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T01:15:14.660Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T01:15:15.010Z] GC before operation: completed in 570.489 ms, heap usage 294.966 MB -> 76.938 MB. [2026-01-21T01:15:42.994Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:15:59.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:16:12.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:16:23.439Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:16:32.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:16:38.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:16:46.042Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:16:52.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:16:52.817Z] 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. [2026-01-21T01:16:52.817Z] The best model improves the baseline by 14.52%. [2026-01-21T01:16:54.013Z] Top recommended movies for user id 72: [2026-01-21T01:16:54.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:16:54.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:16:54.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:16:54.013Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:16:54.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:16:54.013Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (98723.975 ms) ====== [2026-01-21T01:16:54.013Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T01:16:54.765Z] GC before operation: completed in 846.442 ms, heap usage 407.744 MB -> 90.972 MB. [2026-01-21T01:17:05.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:17:16.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:17:27.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:17:36.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:17:43.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:17:49.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:17:55.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:18:01.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:18:02.584Z] 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. [2026-01-21T01:18:02.584Z] The best model improves the baseline by 14.52%. [2026-01-21T01:18:03.315Z] Top recommended movies for user id 72: [2026-01-21T01:18:03.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:18:03.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:18:03.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:18:03.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:18:03.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:18:03.315Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68598.382 ms) ====== [2026-01-21T01:18:03.315Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T01:18:04.063Z] GC before operation: completed in 888.889 ms, heap usage 355.264 MB -> 89.911 MB. [2026-01-21T01:18:15.041Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:18:22.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:18:33.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:18:41.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:18:47.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:18:53.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:18:58.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:19:04.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:19:04.411Z] 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. [2026-01-21T01:19:04.411Z] The best model improves the baseline by 14.52%. [2026-01-21T01:19:05.608Z] Top recommended movies for user id 72: [2026-01-21T01:19:05.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:19:05.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:19:05.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:19:05.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:19:05.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:19:05.608Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (61132.905 ms) ====== [2026-01-21T01:19:05.608Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T01:19:06.398Z] GC before operation: completed in 973.774 ms, heap usage 245.827 MB -> 90.488 MB. [2026-01-21T01:19:15.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:19:24.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:19:33.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:19:42.925Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:19:47.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:19:53.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:19:59.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:20:04.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:20:05.204Z] 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. [2026-01-21T01:20:05.545Z] The best model improves the baseline by 14.52%. [2026-01-21T01:20:05.895Z] Top recommended movies for user id 72: [2026-01-21T01:20:05.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:20:05.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:20:05.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:20:05.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:20:05.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:20:05.895Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59716.507 ms) ====== [2026-01-21T01:20:05.895Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T01:20:07.116Z] GC before operation: completed in 936.688 ms, heap usage 449.915 MB -> 91.187 MB. [2026-01-21T01:20:16.213Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:20:25.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:20:36.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:20:43.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:20:48.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:20:54.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:20:59.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:21:05.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:21:05.475Z] 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. [2026-01-21T01:21:05.819Z] The best model improves the baseline by 14.52%. [2026-01-21T01:21:06.588Z] Top recommended movies for user id 72: [2026-01-21T01:21:06.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:21:06.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:21:06.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:21:06.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:21:06.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:21:06.588Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (59566.714 ms) ====== [2026-01-21T01:21:06.588Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T01:21:07.805Z] GC before operation: completed in 978.760 ms, heap usage 161.294 MB -> 90.686 MB. [2026-01-21T01:21:17.027Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:21:26.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:21:33.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:21:40.856Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:21:45.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:21:50.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:21:56.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:22:01.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:22:02.049Z] 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. [2026-01-21T01:22:02.394Z] The best model improves the baseline by 14.52%. [2026-01-21T01:22:03.126Z] Top recommended movies for user id 72: [2026-01-21T01:22:03.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:22:03.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:22:03.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:22:03.126Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:22:03.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:22:03.126Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55474.551 ms) ====== [2026-01-21T01:22:03.126Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T01:22:03.871Z] GC before operation: completed in 937.256 ms, heap usage 287.769 MB -> 91.225 MB. [2026-01-21T01:22:12.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:22:21.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:22:29.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:22:36.908Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:22:41.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:22:46.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:22:51.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:22:56.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:22:57.507Z] 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. [2026-01-21T01:22:57.507Z] The best model improves the baseline by 14.52%. [2026-01-21T01:22:57.846Z] Top recommended movies for user id 72: [2026-01-21T01:22:57.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:22:57.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:22:57.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:22:57.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:22:57.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:22:57.846Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54050.755 ms) ====== [2026-01-21T01:22:57.846Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T01:22:59.066Z] GC before operation: completed in 984.427 ms, heap usage 616.958 MB -> 94.946 MB. [2026-01-21T01:23:08.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:23:15.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:23:24.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:23:32.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:23:36.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:23:40.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:23:47.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:23:50.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:23:52.078Z] 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. [2026-01-21T01:23:52.078Z] The best model improves the baseline by 14.52%. [2026-01-21T01:23:52.824Z] Top recommended movies for user id 72: [2026-01-21T01:23:52.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:23:52.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:23:52.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:23:52.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:23:52.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:23:52.825Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53847.378 ms) ====== [2026-01-21T01:23:52.825Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T01:23:54.054Z] GC before operation: completed in 957.848 ms, heap usage 156.416 MB -> 91.267 MB. [2026-01-21T01:24:03.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:24:10.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:24:17.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:24:25.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:24:30.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:24:35.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:24:39.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:24:44.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:24:45.949Z] 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. [2026-01-21T01:24:45.949Z] The best model improves the baseline by 14.52%. [2026-01-21T01:24:46.290Z] Top recommended movies for user id 72: [2026-01-21T01:24:46.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:24:46.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:24:46.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:24:46.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:24:46.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:24:46.290Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52637.083 ms) ====== [2026-01-21T01:24:46.290Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T01:24:47.509Z] GC before operation: completed in 955.591 ms, heap usage 447.958 MB -> 91.393 MB. [2026-01-21T01:24:56.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:25:03.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:25:13.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:25:19.177Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:25:24.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:25:28.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:25:33.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:25:38.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:25:39.381Z] 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. [2026-01-21T01:25:39.862Z] The best model improves the baseline by 14.52%. [2026-01-21T01:25:40.231Z] Top recommended movies for user id 72: [2026-01-21T01:25:40.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:25:40.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:25:40.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:25:40.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:25:40.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:25:40.231Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (52888.880 ms) ====== [2026-01-21T01:25:40.231Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T01:25:41.432Z] GC before operation: completed in 967.930 ms, heap usage 372.585 MB -> 91.521 MB. [2026-01-21T01:25:50.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:25:57.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:26:05.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:26:12.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:26:17.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:26:22.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:26:27.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:26:32.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:26:33.426Z] 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. [2026-01-21T01:26:33.426Z] The best model improves the baseline by 14.52%. [2026-01-21T01:26:34.171Z] Top recommended movies for user id 72: [2026-01-21T01:26:34.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:26:34.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:26:34.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:26:34.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:26:34.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:26:34.171Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52780.280 ms) ====== [2026-01-21T01:26:34.171Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T01:26:34.936Z] GC before operation: completed in 961.673 ms, heap usage 696.579 MB -> 94.929 MB. [2026-01-21T01:26:43.975Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:26:51.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:27:00.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:27:06.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:27:11.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:27:16.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:27:21.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:27:26.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:27:27.258Z] 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. [2026-01-21T01:27:27.258Z] The best model improves the baseline by 14.52%. [2026-01-21T01:27:27.600Z] Top recommended movies for user id 72: [2026-01-21T01:27:27.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:27:27.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:27:27.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:27:27.600Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:27:27.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:27:27.600Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (52738.214 ms) ====== [2026-01-21T01:27:27.600Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T01:27:28.797Z] GC before operation: completed in 972.281 ms, heap usage 274.156 MB -> 91.442 MB. [2026-01-21T01:27:37.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:27:45.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:27:53.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:28:00.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:28:05.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:28:10.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:28:15.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:28:20.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:28:21.781Z] 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. [2026-01-21T01:28:21.781Z] The best model improves the baseline by 14.52%. [2026-01-21T01:28:22.121Z] Top recommended movies for user id 72: [2026-01-21T01:28:22.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:28:22.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:28:22.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:28:22.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:28:22.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:28:22.121Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53527.404 ms) ====== [2026-01-21T01:28:22.121Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T01:28:23.337Z] GC before operation: completed in 942.590 ms, heap usage 777.828 MB -> 95.407 MB. [2026-01-21T01:28:32.360Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:28:39.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:28:47.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:28:54.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:28:59.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:29:04.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:29:09.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:29:14.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:29:14.939Z] 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. [2026-01-21T01:29:15.279Z] The best model improves the baseline by 14.52%. [2026-01-21T01:29:16.026Z] Top recommended movies for user id 72: [2026-01-21T01:29:16.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:29:16.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:29:16.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:29:16.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:29:16.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:29:16.026Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52668.412 ms) ====== [2026-01-21T01:29:16.026Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T01:29:16.776Z] GC before operation: completed in 943.542 ms, heap usage 252.392 MB -> 91.063 MB. [2026-01-21T01:29:25.792Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:29:33.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:29:40.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:29:47.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:29:52.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:29:57.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:30:02.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:30:07.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:30:08.237Z] 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. [2026-01-21T01:30:08.237Z] The best model improves the baseline by 14.52%. [2026-01-21T01:30:09.144Z] Top recommended movies for user id 72: [2026-01-21T01:30:09.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:30:09.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:30:09.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:30:09.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:30:09.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:30:09.144Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52019.355 ms) ====== [2026-01-21T01:30:09.144Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T01:30:09.903Z] GC before operation: completed in 995.362 ms, heap usage 326.423 MB -> 91.532 MB. [2026-01-21T01:30:19.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:30:26.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:30:33.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:30:42.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:30:46.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:30:51.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:30:57.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:31:01.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:31:02.280Z] 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. [2026-01-21T01:31:02.620Z] The best model improves the baseline by 14.52%. [2026-01-21T01:31:02.997Z] Top recommended movies for user id 72: [2026-01-21T01:31:02.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:31:02.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:31:02.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:31:02.997Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:31:02.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:31:02.997Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53347.958 ms) ====== [2026-01-21T01:31:02.997Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T01:31:04.214Z] GC before operation: completed in 944.597 ms, heap usage 220.030 MB -> 91.288 MB. [2026-01-21T01:31:13.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:31:20.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:31:28.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:31:35.495Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:31:40.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:31:44.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:31:49.143Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:31:53.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:31:54.723Z] 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. [2026-01-21T01:31:54.723Z] The best model improves the baseline by 14.52%. [2026-01-21T01:31:55.454Z] Top recommended movies for user id 72: [2026-01-21T01:31:55.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:31:55.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:31:55.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:31:55.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:31:55.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:31:55.454Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51371.539 ms) ====== [2026-01-21T01:31:55.454Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T01:31:56.636Z] GC before operation: completed in 986.221 ms, heap usage 691.714 MB -> 95.098 MB. [2026-01-21T01:32:05.824Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:32:13.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:32:20.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:32:28.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:32:32.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:32:37.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:32:42.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:32:47.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:32:47.914Z] 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. [2026-01-21T01:32:47.915Z] The best model improves the baseline by 14.52%. [2026-01-21T01:32:48.647Z] Top recommended movies for user id 72: [2026-01-21T01:32:48.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:32:48.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:32:48.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:32:48.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:32:48.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:32:48.647Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52123.469 ms) ====== [2026-01-21T01:32:48.647Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T01:32:49.405Z] GC before operation: completed in 965.402 ms, heap usage 935.438 MB -> 95.864 MB. [2026-01-21T01:32:58.455Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:33:05.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:33:13.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:33:20.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:33:25.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:33:30.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:33:35.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:33:40.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:33:41.022Z] 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. [2026-01-21T01:33:41.362Z] The best model improves the baseline by 14.52%. [2026-01-21T01:33:42.102Z] Top recommended movies for user id 72: [2026-01-21T01:33:42.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:33:42.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:33:42.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:33:42.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:33:42.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:33:42.102Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52355.264 ms) ====== [2026-01-21T01:33:42.102Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T01:33:42.851Z] GC before operation: completed in 958.641 ms, heap usage 238.264 MB -> 91.323 MB. [2026-01-21T01:33:51.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:33:59.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:34:06.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:34:14.069Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:34:18.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:34:22.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:34:27.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:34:32.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:34:33.344Z] 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. [2026-01-21T01:34:33.705Z] The best model improves the baseline by 14.52%. [2026-01-21T01:34:34.048Z] Top recommended movies for user id 72: [2026-01-21T01:34:34.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:34:34.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:34:34.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:34:34.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:34:34.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:34:34.048Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51261.167 ms) ====== [2026-01-21T01:34:38.057Z] ----------------------------------- [2026-01-21T01:34:38.057Z] renaissance-movie-lens_0_PASSED [2026-01-21T01:34:38.057Z] ----------------------------------- [2026-01-21T01:34:38.057Z] [2026-01-21T01:34:38.057Z] TEST TEARDOWN: [2026-01-21T01:34:38.057Z] Nothing to be done for teardown. [2026-01-21T01:34:38.057Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 01:34:37 2026 Epoch Time (ms): 1768959277729