[2026-01-24T14:38:01.643Z] Running test renaissance-movie-lens_0 ... [2026-01-24T14:38:01.643Z] =============================================== [2026-01-24T14:38:01.643Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:38:00 2026 Epoch Time (ms): 1769265480773 [2026-01-24T14:38:01.643Z] variation: NoOptions [2026-01-24T14:38:01.643Z] JVM_OPTIONS: [2026-01-24T14:38:01.643Z] { \ [2026-01-24T14:38:01.643Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T14:38:01.643Z] echo "Nothing to be done for setup."; \ [2026-01-24T14:38:01.643Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692642443304/renaissance-movie-lens_0"; \ [2026-01-24T14:38:01.643Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692642443304/renaissance-movie-lens_0"; \ [2026-01-24T14:38:01.643Z] echo ""; echo "TESTING:"; \ [2026-01-24T14:38:01.643Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692642443304/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T14:38:01.643Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692642443304/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T14:38:01.643Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T14:38:01.643Z] echo "Nothing to be done for teardown."; \ [2026-01-24T14:38:01.643Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17692642443304/TestTargetResult"; [2026-01-24T14:38:01.643Z] [2026-01-24T14:38:01.643Z] TEST SETUP: [2026-01-24T14:38:01.643Z] Nothing to be done for setup. [2026-01-24T14:38:01.643Z] [2026-01-24T14:38:01.643Z] TESTING: [2026-01-24T14:38:01.643Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T14:38:01.643Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17692642443304/renaissance-movie-lens_0/launcher-143800-3537007688381204598/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T14:38:01.643Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T14:38:01.643Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T14:38:09.440Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T14:38:18.727Z] 14:38:18.076 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. [2026-01-24T14:38:21.237Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T14:38:22.088Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T14:38:22.088Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T14:38:22.507Z] GC before operation: completed in 157.503 ms, heap usage 190.777 MB -> 75.818 MB. [2026-01-24T14:38:31.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:38:36.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:38:41.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:38:45.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:38:47.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:38:49.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:38:52.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:38:54.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:38:54.683Z] 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. [2026-01-24T14:38:54.684Z] The best model improves the baseline by 14.52%. [2026-01-24T14:38:55.038Z] Top recommended movies for user id 72: [2026-01-24T14:38:55.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:38:55.038Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:38:55.038Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:38:55.038Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:38:55.038Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:38:55.038Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32727.174 ms) ====== [2026-01-24T14:38:55.038Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T14:38:55.038Z] GC before operation: completed in 154.933 ms, heap usage 553.358 MB -> 90.294 MB. [2026-01-24T14:38:59.117Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:03.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:06.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:39:09.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:39:12.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:39:14.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:39:16.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:39:18.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:39:18.795Z] 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. [2026-01-24T14:39:18.795Z] The best model improves the baseline by 14.52%. [2026-01-24T14:39:19.153Z] Top recommended movies for user id 72: [2026-01-24T14:39:19.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:39:19.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:39:19.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:39:19.153Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:39:19.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:39:19.153Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23853.039 ms) ====== [2026-01-24T14:39:19.153Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T14:39:19.153Z] GC before operation: completed in 157.401 ms, heap usage 119.765 MB -> 90.530 MB. [2026-01-24T14:39:23.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:26.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:29.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:39:32.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:39:34.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:39:36.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:39:38.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:39:40.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:39:40.803Z] 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. [2026-01-24T14:39:40.803Z] The best model improves the baseline by 14.52%. [2026-01-24T14:39:41.177Z] Top recommended movies for user id 72: [2026-01-24T14:39:41.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:39:41.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:39:41.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:39:41.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:39:41.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:39:41.177Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21765.261 ms) ====== [2026-01-24T14:39:41.177Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T14:39:41.177Z] GC before operation: completed in 151.931 ms, heap usage 378.524 MB -> 89.265 MB. [2026-01-24T14:39:44.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:39:47.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:39:50.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:39:53.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:39:55.758Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:39:58.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:39:59.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:01.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:01.863Z] 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. [2026-01-24T14:40:01.863Z] The best model improves the baseline by 14.52%. [2026-01-24T14:40:02.224Z] Top recommended movies for user id 72: [2026-01-24T14:40:02.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:40:02.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:40:02.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:40:02.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:40:02.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:40:02.224Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20929.718 ms) ====== [2026-01-24T14:40:02.224Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T14:40:02.224Z] GC before operation: completed in 157.567 ms, heap usage 256.066 MB -> 89.436 MB. [2026-01-24T14:40:05.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:40:08.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:40:11.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:14.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:16.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:18.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:40:20.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:22.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:22.767Z] 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. [2026-01-24T14:40:22.767Z] The best model improves the baseline by 14.52%. [2026-01-24T14:40:23.134Z] Top recommended movies for user id 72: [2026-01-24T14:40:23.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:40:23.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:40:23.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:40:23.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:40:23.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:40:23.134Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20874.587 ms) ====== [2026-01-24T14:40:23.134Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T14:40:23.134Z] GC before operation: completed in 155.264 ms, heap usage 366.358 MB -> 89.511 MB. [2026-01-24T14:40:27.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:40:29.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:40:32.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:36.045Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:37.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:39.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:40:41.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:40:43.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:40:43.660Z] 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. [2026-01-24T14:40:43.660Z] The best model improves the baseline by 14.52%. [2026-01-24T14:40:43.660Z] Top recommended movies for user id 72: [2026-01-24T14:40:43.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:40:43.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:40:43.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:40:43.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:40:43.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:40:43.661Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20527.307 ms) ====== [2026-01-24T14:40:43.661Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T14:40:44.030Z] GC before operation: completed in 149.782 ms, heap usage 129.287 MB -> 89.621 MB. [2026-01-24T14:40:47.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:40:50.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:40:52.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:40:56.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:40:57.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:40:59.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:41:02.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:41:03.461Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:41:03.826Z] 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. [2026-01-24T14:41:03.826Z] The best model improves the baseline by 14.52%. [2026-01-24T14:41:04.181Z] Top recommended movies for user id 72: [2026-01-24T14:41:04.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:41:04.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:41:04.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:41:04.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:41:04.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:41:04.181Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20270.990 ms) ====== [2026-01-24T14:41:04.181Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T14:41:04.539Z] GC before operation: completed in 155.884 ms, heap usage 181.659 MB -> 89.585 MB. [2026-01-24T14:41:07.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:10.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:13.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:41:16.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:41:17.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:41:19.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:41:22.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:41:23.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:41:23.897Z] 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. [2026-01-24T14:41:23.897Z] The best model improves the baseline by 14.52%. [2026-01-24T14:41:24.256Z] Top recommended movies for user id 72: [2026-01-24T14:41:24.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:41:24.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:41:24.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:41:24.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:41:24.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:41:24.256Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19868.544 ms) ====== [2026-01-24T14:41:24.256Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T14:41:24.256Z] GC before operation: completed in 149.219 ms, heap usage 291.899 MB -> 90.008 MB. [2026-01-24T14:41:27.395Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:30.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:33.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:41:36.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:41:38.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:41:39.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:41:41.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:41:44.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:41:44.107Z] 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. [2026-01-24T14:41:44.108Z] The best model improves the baseline by 14.52%. [2026-01-24T14:41:44.108Z] Top recommended movies for user id 72: [2026-01-24T14:41:44.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:41:44.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:41:44.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:41:44.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:41:44.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:41:44.108Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19876.208 ms) ====== [2026-01-24T14:41:44.108Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T14:41:44.470Z] GC before operation: completed in 164.530 ms, heap usage 342.184 MB -> 89.810 MB. [2026-01-24T14:41:47.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:41:50.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:41:53.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:41:56.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:41:58.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:00.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:01.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:42:03.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:42:04.023Z] 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. [2026-01-24T14:42:04.023Z] The best model improves the baseline by 14.52%. [2026-01-24T14:42:04.379Z] Top recommended movies for user id 72: [2026-01-24T14:42:04.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:42:04.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:42:04.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:42:04.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:42:04.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:42:04.379Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19874.241 ms) ====== [2026-01-24T14:42:04.379Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T14:42:04.379Z] GC before operation: completed in 155.054 ms, heap usage 362.975 MB -> 90.195 MB. [2026-01-24T14:42:07.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:42:10.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:42:13.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:16.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:42:18.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:19.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:21.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:42:23.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:42:23.919Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:42:23.919Z] The best model improves the baseline by 14.52%. [2026-01-24T14:42:24.329Z] Top recommended movies for user id 72: [2026-01-24T14:42:24.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:42:24.329Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:42:24.329Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:42:24.329Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:42:24.329Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:42:24.329Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19670.279 ms) ====== [2026-01-24T14:42:24.329Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T14:42:24.329Z] GC before operation: completed in 169.038 ms, heap usage 118.876 MB -> 92.779 MB. [2026-01-24T14:42:27.443Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:42:30.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:42:33.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:36.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:42:37.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:39.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:41.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:42:42.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:42:42.714Z] 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. [2026-01-24T14:42:42.714Z] The best model improves the baseline by 14.52%. [2026-01-24T14:42:43.070Z] Top recommended movies for user id 72: [2026-01-24T14:42:43.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:42:43.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:42:43.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:42:43.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:42:43.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:42:43.070Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18717.762 ms) ====== [2026-01-24T14:42:43.070Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T14:42:43.070Z] GC before operation: completed in 155.072 ms, heap usage 536.556 MB -> 93.509 MB. [2026-01-24T14:42:46.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:42:48.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:42:51.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:42:54.291Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:42:56.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:42:57.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:42:59.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:43:01.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:43:01.467Z] 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. [2026-01-24T14:43:01.467Z] The best model improves the baseline by 14.52%. [2026-01-24T14:43:01.467Z] Top recommended movies for user id 72: [2026-01-24T14:43:01.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:43:01.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:43:01.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:43:01.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:43:01.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:43:01.467Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18461.151 ms) ====== [2026-01-24T14:43:01.467Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T14:43:01.835Z] GC before operation: completed in 155.383 ms, heap usage 528.065 MB -> 93.736 MB. [2026-01-24T14:43:04.981Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:43:07.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:43:10.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:43:13.134Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:14.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:43:16.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:43:18.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:43:20.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:43:20.976Z] 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. [2026-01-24T14:43:20.976Z] The best model improves the baseline by 14.52%. [2026-01-24T14:43:20.976Z] Top recommended movies for user id 72: [2026-01-24T14:43:20.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:43:20.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:43:20.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:43:20.976Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:43:20.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:43:20.976Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19288.441 ms) ====== [2026-01-24T14:43:20.976Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T14:43:21.339Z] GC before operation: completed in 145.213 ms, heap usage 368.886 MB -> 90.005 MB. [2026-01-24T14:43:24.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:43:27.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:43:30.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:43:33.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:35.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:43:36.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:43:38.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:43:40.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:43:40.885Z] 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. [2026-01-24T14:43:40.885Z] The best model improves the baseline by 14.52%. [2026-01-24T14:43:40.885Z] Top recommended movies for user id 72: [2026-01-24T14:43:40.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:43:40.885Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:43:40.885Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:43:40.885Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:43:40.885Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:43:40.885Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19802.390 ms) ====== [2026-01-24T14:43:40.885Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T14:43:41.255Z] GC before operation: completed in 151.934 ms, heap usage 475.080 MB -> 90.399 MB. [2026-01-24T14:43:44.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:43:47.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:43:50.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:43:53.243Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:43:55.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:43:56.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:43:59.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:44:00.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:44:01.017Z] 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. [2026-01-24T14:44:01.018Z] The best model improves the baseline by 14.52%. [2026-01-24T14:44:01.371Z] Top recommended movies for user id 72: [2026-01-24T14:44:01.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:44:01.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:44:01.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:44:01.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:44:01.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:44:01.371Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20181.284 ms) ====== [2026-01-24T14:44:01.371Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T14:44:01.371Z] GC before operation: completed in 146.138 ms, heap usage 343.901 MB -> 89.991 MB. [2026-01-24T14:44:04.535Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:44:06.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:44:10.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:44:12.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:44:14.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:44:15.584Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:44:17.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:44:19.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:44:19.208Z] 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. [2026-01-24T14:44:19.208Z] The best model improves the baseline by 14.52%. [2026-01-24T14:44:19.574Z] Top recommended movies for user id 72: [2026-01-24T14:44:19.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:44:19.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:44:19.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:44:19.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:44:19.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:44:19.574Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18024.097 ms) ====== [2026-01-24T14:44:19.574Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T14:44:19.574Z] GC before operation: completed in 151.179 ms, heap usage 353.043 MB -> 90.212 MB. [2026-01-24T14:44:22.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:44:25.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:44:28.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:44:30.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:44:32.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:44:34.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:44:36.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:44:38.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:44:38.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:44:38.804Z] The best model improves the baseline by 14.52%. [2026-01-24T14:44:38.804Z] Top recommended movies for user id 72: [2026-01-24T14:44:38.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:44:38.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:44:38.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:44:38.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:44:38.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:44:38.804Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19190.938 ms) ====== [2026-01-24T14:44:38.804Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T14:44:39.160Z] GC before operation: completed in 149.919 ms, heap usage 376.095 MB -> 90.034 MB. [2026-01-24T14:44:42.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:44:44.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:44:48.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:44:51.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:44:52.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:44:55.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:44:56.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:44:58.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:44:58.617Z] 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. [2026-01-24T14:44:58.617Z] The best model improves the baseline by 14.52%. [2026-01-24T14:44:58.975Z] Top recommended movies for user id 72: [2026-01-24T14:44:58.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:44:58.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:44:58.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:44:58.976Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:44:58.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:44:58.976Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19938.489 ms) ====== [2026-01-24T14:44:58.976Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T14:44:58.976Z] GC before operation: completed in 160.871 ms, heap usage 182.044 MB -> 89.880 MB. [2026-01-24T14:45:02.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:45:05.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:45:07.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:45:10.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:45:12.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:45:14.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:45:15.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:45:17.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:45:18.079Z] 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. [2026-01-24T14:45:18.079Z] The best model improves the baseline by 14.52%. [2026-01-24T14:45:18.447Z] Top recommended movies for user id 72: [2026-01-24T14:45:18.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:45:18.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:45:18.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:45:18.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:45:18.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:45:18.447Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19271.914 ms) ====== [2026-01-24T14:45:19.214Z] ----------------------------------- [2026-01-24T14:45:19.214Z] renaissance-movie-lens_0_PASSED [2026-01-24T14:45:19.214Z] ----------------------------------- [2026-01-24T14:45:19.214Z] [2026-01-24T14:45:19.214Z] TEST TEARDOWN: [2026-01-24T14:45:19.214Z] Nothing to be done for teardown. [2026-01-24T14:45:19.214Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 14:45:18 2026 Epoch Time (ms): 1769265918824