[2026-04-14T01:42:47.962Z] Running test renaissance-movie-lens_0 ... [2026-04-14T01:42:47.962Z] =============================================== [2026-04-14T01:42:47.962Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 01:42:47 2026 Epoch Time (ms): 1776130967890 [2026-04-14T01:42:47.962Z] variation: NoOptions [2026-04-14T01:42:47.962Z] JVM_OPTIONS: [2026-04-14T01:42:47.962Z] { \ [2026-04-14T01:42:47.962Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T01:42:47.962Z] echo "Nothing to be done for setup."; \ [2026-04-14T01:42:47.962Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761296919454/renaissance-movie-lens_0"; \ [2026-04-14T01:42:47.962Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761296919454/renaissance-movie-lens_0"; \ [2026-04-14T01:42:47.962Z] echo ""; echo "TESTING:"; \ [2026-04-14T01:42:47.962Z] "/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_17761296919454/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T01:42:47.962Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761296919454/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T01:42:47.962Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T01:42:47.962Z] echo "Nothing to be done for teardown."; \ [2026-04-14T01:42:47.962Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761296919454/TestTargetResult"; [2026-04-14T01:42:47.962Z] [2026-04-14T01:42:47.962Z] TEST SETUP: [2026-04-14T01:42:47.962Z] Nothing to be done for setup. [2026-04-14T01:42:47.962Z] [2026-04-14T01:42:47.962Z] TESTING: [2026-04-14T01:42:48.822Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-14T01:42:48.822Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17761296919454/renaissance-movie-lens_0/launcher-014248-15103536383683906747/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-14T01:42:48.822Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-14T01:42:48.822Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-14T01:42:56.306Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T01:43:05.647Z] 01:43:05.267 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. [2026-04-14T01:43:08.961Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T01:43:09.339Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T01:43:09.339Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T01:43:09.339Z] GC before operation: completed in 152.566 ms, heap usage 173.016 MB -> 75.669 MB. [2026-04-14T01:43:18.586Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:43:22.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:43:26.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:43:30.790Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:43:33.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:43:35.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:43:38.019Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:43:39.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:43:40.266Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:43:40.266Z] The best model improves the baseline by 14.52%. [2026-04-14T01:43:40.632Z] Top recommended movies for user id 72: [2026-04-14T01:43:40.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:43:40.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:43:40.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:43:40.632Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:43:40.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:43:40.632Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31212.970 ms) ====== [2026-04-14T01:43:40.632Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T01:43:40.983Z] GC before operation: completed in 139.452 ms, heap usage 194.646 MB -> 87.503 MB. [2026-04-14T01:43:44.991Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:43:48.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:43:52.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:43:55.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:43:57.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:43:59.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:44:02.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:44:04.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:44:04.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:44:04.590Z] The best model improves the baseline by 14.52%. [2026-04-14T01:44:04.944Z] Top recommended movies for user id 72: [2026-04-14T01:44:04.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:44:04.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:44:04.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:44:04.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:44:04.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:44:04.944Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24080.630 ms) ====== [2026-04-14T01:44:04.944Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T01:44:04.944Z] GC before operation: completed in 140.551 ms, heap usage 389.425 MB -> 88.667 MB. [2026-04-14T01:44:08.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:44:12.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:44:15.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:44:18.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:44:20.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:44:22.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:44:24.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:44:26.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:44:26.420Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:44:26.776Z] The best model improves the baseline by 14.52%. [2026-04-14T01:44:26.776Z] Top recommended movies for user id 72: [2026-04-14T01:44:26.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:44:26.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:44:26.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:44:26.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:44:26.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:44:26.776Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21765.991 ms) ====== [2026-04-14T01:44:26.776Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T01:44:27.130Z] GC before operation: completed in 132.747 ms, heap usage 360.695 MB -> 89.338 MB. [2026-04-14T01:44:30.356Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:44:33.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:44:35.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:44:39.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:44:40.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:44:43.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:44:45.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:44:46.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:44:47.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:44:47.192Z] The best model improves the baseline by 14.52%. [2026-04-14T01:44:47.546Z] Top recommended movies for user id 72: [2026-04-14T01:44:47.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:44:47.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:44:47.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:44:47.546Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:44:47.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:44:47.546Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20616.324 ms) ====== [2026-04-14T01:44:47.546Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T01:44:47.902Z] GC before operation: completed in 137.833 ms, heap usage 205.507 MB -> 89.422 MB. [2026-04-14T01:44:51.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:44:54.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:44:58.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:45:00.605Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:45:03.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:45:04.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:45:07.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:45:08.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:45:09.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:45:09.347Z] The best model improves the baseline by 14.52%. [2026-04-14T01:45:09.347Z] Top recommended movies for user id 72: [2026-04-14T01:45:09.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:45:09.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:45:09.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:45:09.347Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:45:09.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:45:09.347Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21727.320 ms) ====== [2026-04-14T01:45:09.347Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T01:45:09.706Z] GC before operation: completed in 142.426 ms, heap usage 181.774 MB -> 89.362 MB. [2026-04-14T01:45:12.876Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:45:15.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:45:19.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:45:22.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:45:24.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:45:26.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:45:28.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:45:30.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:45:30.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:45:30.552Z] The best model improves the baseline by 14.52%. [2026-04-14T01:45:30.902Z] Top recommended movies for user id 72: [2026-04-14T01:45:30.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:45:30.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:45:30.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:45:30.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:45:30.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:45:30.902Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21246.602 ms) ====== [2026-04-14T01:45:30.902Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T01:45:30.902Z] GC before operation: completed in 141.418 ms, heap usage 254.690 MB -> 89.699 MB. [2026-04-14T01:45:34.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:45:36.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:45:39.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:45:42.823Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:45:44.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:45:46.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:45:48.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:45:49.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:45:50.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:45:50.412Z] The best model improves the baseline by 14.52%. [2026-04-14T01:45:50.773Z] Top recommended movies for user id 72: [2026-04-14T01:45:50.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:45:50.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:45:50.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:45:50.773Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:45:50.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:45:50.773Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19709.223 ms) ====== [2026-04-14T01:45:50.773Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T01:45:50.773Z] GC before operation: completed in 144.356 ms, heap usage 289.626 MB -> 89.709 MB. [2026-04-14T01:45:53.906Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:45:57.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:46:00.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:46:03.238Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:46:05.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:46:06.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:46:08.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:46:10.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:46:10.709Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:46:11.058Z] The best model improves the baseline by 14.52%. [2026-04-14T01:46:11.058Z] Top recommended movies for user id 72: [2026-04-14T01:46:11.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:46:11.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:46:11.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:46:11.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:46:11.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:46:11.058Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20227.340 ms) ====== [2026-04-14T01:46:11.058Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T01:46:11.058Z] GC before operation: completed in 139.559 ms, heap usage 428.847 MB -> 90.174 MB. [2026-04-14T01:46:14.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:46:17.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:46:20.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:46:22.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:46:25.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:46:27.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:46:28.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:46:30.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:46:30.788Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:46:30.788Z] The best model improves the baseline by 14.52%. [2026-04-14T01:46:31.145Z] Top recommended movies for user id 72: [2026-04-14T01:46:31.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:46:31.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:46:31.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:46:31.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:46:31.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:46:31.146Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19904.471 ms) ====== [2026-04-14T01:46:31.146Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T01:46:31.146Z] GC before operation: completed in 149.898 ms, heap usage 247.567 MB -> 89.701 MB. [2026-04-14T01:46:34.331Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:46:37.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:46:39.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:46:43.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:46:44.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:46:46.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:46:47.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:46:49.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:46:49.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:46:49.672Z] The best model improves the baseline by 14.52%. [2026-04-14T01:46:50.047Z] Top recommended movies for user id 72: [2026-04-14T01:46:50.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:46:50.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:46:50.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:46:50.047Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:46:50.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:46:50.047Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18719.246 ms) ====== [2026-04-14T01:46:50.047Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T01:46:50.048Z] GC before operation: completed in 140.245 ms, heap usage 173.012 MB -> 91.049 MB. [2026-04-14T01:46:53.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:46:56.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:46:58.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:47:01.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:47:03.697Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:47:05.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:47:07.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:47:09.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:47:09.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:47:09.672Z] The best model improves the baseline by 14.52%. [2026-04-14T01:47:10.026Z] Top recommended movies for user id 72: [2026-04-14T01:47:10.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:47:10.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:47:10.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:47:10.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:47:10.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:47:10.027Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19793.729 ms) ====== [2026-04-14T01:47:10.027Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T01:47:10.027Z] GC before operation: completed in 138.461 ms, heap usage 366.054 MB -> 89.899 MB. [2026-04-14T01:47:13.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:47:16.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:47:18.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:47:21.995Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:47:23.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:47:25.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:47:27.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:47:29.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:47:29.185Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:47:29.534Z] The best model improves the baseline by 14.52%. [2026-04-14T01:47:29.534Z] Top recommended movies for user id 72: [2026-04-14T01:47:29.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:47:29.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:47:29.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:47:29.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:47:29.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:47:29.534Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19483.343 ms) ====== [2026-04-14T01:47:29.534Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T01:47:29.534Z] GC before operation: completed in 135.703 ms, heap usage 438.828 MB -> 90.203 MB. [2026-04-14T01:47:32.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:47:35.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:47:38.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:47:41.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:47:43.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:47:45.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:47:47.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:47:49.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:47:49.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:47:49.098Z] The best model improves the baseline by 14.52%. [2026-04-14T01:47:49.447Z] Top recommended movies for user id 72: [2026-04-14T01:47:49.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:47:49.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:47:49.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:47:49.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:47:49.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:47:49.447Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19712.599 ms) ====== [2026-04-14T01:47:49.447Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T01:47:49.447Z] GC before operation: completed in 137.723 ms, heap usage 342.079 MB -> 90.150 MB. [2026-04-14T01:47:52.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:47:55.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:47:58.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:48:02.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:48:03.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:48:05.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:48:06.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:48:08.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:48:09.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:48:09.032Z] The best model improves the baseline by 14.52%. [2026-04-14T01:48:09.386Z] Top recommended movies for user id 72: [2026-04-14T01:48:09.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:48:09.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:48:09.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:48:09.386Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:48:09.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:48:09.386Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19801.408 ms) ====== [2026-04-14T01:48:09.386Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T01:48:09.386Z] GC before operation: completed in 136.984 ms, heap usage 364.921 MB -> 90.048 MB. [2026-04-14T01:48:12.499Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:48:15.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:48:18.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:48:21.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:48:23.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:48:24.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:48:26.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:48:28.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:48:28.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:48:28.828Z] The best model improves the baseline by 14.52%. [2026-04-14T01:48:29.183Z] Top recommended movies for user id 72: [2026-04-14T01:48:29.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:48:29.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:48:29.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:48:29.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:48:29.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:48:29.183Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19613.265 ms) ====== [2026-04-14T01:48:29.183Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T01:48:29.183Z] GC before operation: completed in 139.425 ms, heap usage 363.658 MB -> 90.250 MB. [2026-04-14T01:48:32.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:48:35.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:48:37.772Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:48:40.161Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:48:41.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:48:43.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:48:47.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:48:47.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:48:47.802Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:48:47.802Z] The best model improves the baseline by 14.52%. [2026-04-14T01:48:48.356Z] Top recommended movies for user id 72: [2026-04-14T01:48:48.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:48:48.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:48:48.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:48:48.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:48:48.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:48:48.356Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18835.381 ms) ====== [2026-04-14T01:48:48.356Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T01:48:48.356Z] GC before operation: completed in 146.127 ms, heap usage 179.715 MB -> 89.862 MB. [2026-04-14T01:48:51.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:48:53.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:48:57.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:49:00.402Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:49:01.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:49:03.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:49:05.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:49:07.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:49:07.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:49:07.652Z] The best model improves the baseline by 14.52%. [2026-04-14T01:49:08.001Z] Top recommended movies for user id 72: [2026-04-14T01:49:08.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:49:08.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:49:08.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:49:08.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:49:08.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:49:08.001Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19752.392 ms) ====== [2026-04-14T01:49:08.001Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T01:49:08.001Z] GC before operation: completed in 139.849 ms, heap usage 358.419 MB -> 90.244 MB. [2026-04-14T01:49:11.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:49:14.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:49:17.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:49:19.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:49:21.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:49:23.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:49:25.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:49:27.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:49:27.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:49:27.582Z] The best model improves the baseline by 14.52%. [2026-04-14T01:49:27.931Z] Top recommended movies for user id 72: [2026-04-14T01:49:27.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:49:27.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:49:27.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:49:27.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:49:27.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:49:27.931Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19874.382 ms) ====== [2026-04-14T01:49:27.931Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T01:49:28.286Z] GC before operation: completed in 146.441 ms, heap usage 281.464 MB -> 89.952 MB. [2026-04-14T01:49:30.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:49:33.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:49:36.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:49:39.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:49:41.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:49:43.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:49:44.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:49:46.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:49:46.948Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:49:46.948Z] The best model improves the baseline by 14.52%. [2026-04-14T01:49:47.296Z] Top recommended movies for user id 72: [2026-04-14T01:49:47.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:49:47.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:49:47.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:49:47.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:49:47.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:49:47.296Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19190.323 ms) ====== [2026-04-14T01:49:47.296Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T01:49:47.296Z] GC before operation: completed in 137.681 ms, heap usage 170.901 MB -> 89.965 MB. [2026-04-14T01:49:50.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:49:53.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:49:56.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:49:59.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:50:00.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:50:02.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:50:04.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:50:06.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:50:06.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:50:06.851Z] The best model improves the baseline by 14.52%. [2026-04-14T01:50:07.202Z] Top recommended movies for user id 72: [2026-04-14T01:50:07.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:50:07.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:50:07.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:50:07.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:50:07.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:50:07.202Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19578.622 ms) ====== [2026-04-14T01:50:07.552Z] ----------------------------------- [2026-04-14T01:50:07.552Z] renaissance-movie-lens_0_PASSED [2026-04-14T01:50:07.552Z] ----------------------------------- [2026-04-14T01:50:07.552Z] [2026-04-14T01:50:07.552Z] TEST TEARDOWN: [2026-04-14T01:50:07.552Z] Nothing to be done for teardown. [2026-04-14T01:50:07.552Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 01:50:07 2026 Epoch Time (ms): 1776131407519