[2026-01-14T02:40:19.092Z] Running test renaissance-movie-lens_0 ... [2026-01-14T02:40:19.092Z] =============================================== [2026-01-14T02:40:19.092Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 02:40:17 2026 Epoch Time (ms): 1768358417707 [2026-01-14T02:40:19.092Z] variation: NoOptions [2026-01-14T02:40:19.092Z] JVM_OPTIONS: [2026-01-14T02:40:19.092Z] { \ [2026-01-14T02:40:19.092Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T02:40:19.092Z] echo "Nothing to be done for setup."; \ [2026-01-14T02:40:19.092Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683566153720/renaissance-movie-lens_0"; \ [2026-01-14T02:40:19.092Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683566153720/renaissance-movie-lens_0"; \ [2026-01-14T02:40:19.092Z] echo ""; echo "TESTING:"; \ [2026-01-14T02:40:19.092Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683566153720/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T02:40:19.092Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683566153720/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T02:40:19.092Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T02:40:19.092Z] echo "Nothing to be done for teardown."; \ [2026-01-14T02:40:19.092Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683566153720/TestTargetResult"; [2026-01-14T02:40:19.092Z] [2026-01-14T02:40:19.092Z] TEST SETUP: [2026-01-14T02:40:19.092Z] Nothing to be done for setup. [2026-01-14T02:40:19.092Z] [2026-01-14T02:40:19.092Z] TESTING: [2026-01-14T02:40:25.396Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T02:40:36.679Z] 02:40:34.970 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. [2026-01-14T02:40:38.495Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T02:40:39.809Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T02:40:39.809Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T02:40:39.809Z] GC before operation: completed in 125.116 ms, heap usage 234.955 MB -> 75.674 MB. [2026-01-14T02:40:49.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:40:54.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:40:59.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:41:02.817Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:41:05.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:41:07.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:41:10.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:41:12.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:41:12.140Z] 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. [2026-01-14T02:41:12.501Z] The best model improves the baseline by 14.52%. [2026-01-14T02:41:12.865Z] Top recommended movies for user id 72: [2026-01-14T02:41:12.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:41:12.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:41:12.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:41:12.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:41:12.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:41:12.865Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33044.876 ms) ====== [2026-01-14T02:41:12.865Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T02:41:12.865Z] GC before operation: completed in 127.885 ms, heap usage 358.003 MB -> 89.633 MB. [2026-01-14T02:41:16.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:41:20.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:41:23.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:41:26.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:41:29.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:41:30.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:41:32.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:41:34.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:41:34.685Z] 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. [2026-01-14T02:41:35.081Z] The best model improves the baseline by 14.52%. [2026-01-14T02:41:35.081Z] Top recommended movies for user id 72: [2026-01-14T02:41:35.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:41:35.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:41:35.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:41:35.081Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:41:35.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:41:35.081Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22313.807 ms) ====== [2026-01-14T02:41:35.081Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T02:41:35.460Z] GC before operation: completed in 126.585 ms, heap usage 224.719 MB -> 88.476 MB. [2026-01-14T02:41:38.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:41:41.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:41:45.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:41:48.383Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:41:50.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:41:52.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:41:54.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:41:56.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:41:56.646Z] 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. [2026-01-14T02:41:56.646Z] The best model improves the baseline by 14.52%. [2026-01-14T02:41:57.018Z] Top recommended movies for user id 72: [2026-01-14T02:41:57.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:41:57.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:41:57.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:41:57.018Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:41:57.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:41:57.018Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21683.060 ms) ====== [2026-01-14T02:41:57.018Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T02:41:57.018Z] GC before operation: completed in 133.539 ms, heap usage 216.394 MB -> 89.221 MB. [2026-01-14T02:42:00.264Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:42:03.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:42:06.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:42:09.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:42:11.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:42:13.539Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:42:15.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:42:17.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:42:17.664Z] 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. [2026-01-14T02:42:17.664Z] The best model improves the baseline by 14.52%. [2026-01-14T02:42:17.664Z] Top recommended movies for user id 72: [2026-01-14T02:42:17.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:42:17.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:42:17.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:42:17.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:42:17.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:42:17.664Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20608.957 ms) ====== [2026-01-14T02:42:17.664Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T02:42:17.664Z] GC before operation: completed in 132.972 ms, heap usage 436.678 MB -> 89.779 MB. [2026-01-14T02:42:20.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:42:24.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:42:27.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:42:30.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:42:31.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:42:33.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:42:35.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:42:37.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:42:37.958Z] 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. [2026-01-14T02:42:37.958Z] The best model improves the baseline by 14.52%. [2026-01-14T02:42:38.336Z] Top recommended movies for user id 72: [2026-01-14T02:42:38.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:42:38.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:42:38.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:42:38.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:42:38.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:42:38.336Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20377.042 ms) ====== [2026-01-14T02:42:38.336Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T02:42:38.336Z] GC before operation: completed in 125.532 ms, heap usage 423.166 MB -> 89.812 MB. [2026-01-14T02:42:41.517Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:42:44.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:42:47.944Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:42:50.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:42:52.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:42:54.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:42:55.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:42:57.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:42:57.698Z] 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. [2026-01-14T02:42:58.072Z] The best model improves the baseline by 14.52%. [2026-01-14T02:42:58.072Z] Top recommended movies for user id 72: [2026-01-14T02:42:58.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:42:58.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:42:58.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:42:58.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:42:58.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:42:58.072Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19731.890 ms) ====== [2026-01-14T02:42:58.072Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T02:42:58.072Z] GC before operation: completed in 137.323 ms, heap usage 250.771 MB -> 89.847 MB. [2026-01-14T02:43:01.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:43:04.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:43:07.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:43:10.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:43:12.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:13.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:15.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:17.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:17.900Z] 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. [2026-01-14T02:43:17.900Z] The best model improves the baseline by 14.52%. [2026-01-14T02:43:17.900Z] Top recommended movies for user id 72: [2026-01-14T02:43:17.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:43:17.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:43:17.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:43:17.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:43:17.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:43:17.900Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19810.492 ms) ====== [2026-01-14T02:43:17.900Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T02:43:18.273Z] GC before operation: completed in 127.518 ms, heap usage 575.408 MB -> 93.584 MB. [2026-01-14T02:43:21.464Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:43:24.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:43:27.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:43:30.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:43:32.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:33.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:35.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:37.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:37.829Z] 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. [2026-01-14T02:43:37.829Z] The best model improves the baseline by 14.52%. [2026-01-14T02:43:37.829Z] Top recommended movies for user id 72: [2026-01-14T02:43:37.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:43:37.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:43:37.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:43:37.829Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:43:37.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:43:37.829Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19599.678 ms) ====== [2026-01-14T02:43:37.829Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T02:43:37.829Z] GC before operation: completed in 131.161 ms, heap usage 497.000 MB -> 95.986 MB. [2026-01-14T02:43:41.020Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:43:44.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:43:46.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:43:49.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:43:51.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:52.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:54.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:56.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:56.737Z] 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. [2026-01-14T02:43:56.737Z] The best model improves the baseline by 14.52%. [2026-01-14T02:43:57.111Z] Top recommended movies for user id 72: [2026-01-14T02:43:57.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:43:57.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:43:57.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:43:57.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:43:57.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:43:57.111Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19046.024 ms) ====== [2026-01-14T02:43:57.111Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T02:43:57.111Z] GC before operation: completed in 128.944 ms, heap usage 510.067 MB -> 94.008 MB. [2026-01-14T02:44:00.293Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:02.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:06.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:08.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:44:10.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:44:11.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:44:13.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:44:15.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:44:15.647Z] 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. [2026-01-14T02:44:15.647Z] The best model improves the baseline by 14.52%. [2026-01-14T02:44:15.647Z] Top recommended movies for user id 72: [2026-01-14T02:44:15.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:44:15.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:44:15.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:44:15.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:44:15.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:44:15.647Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18686.270 ms) ====== [2026-01-14T02:44:15.647Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T02:44:16.018Z] GC before operation: completed in 135.135 ms, heap usage 776.709 MB -> 97.547 MB. [2026-01-14T02:44:19.192Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:21.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:24.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:27.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:44:28.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:44:30.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:44:32.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:44:34.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:44:34.106Z] 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. [2026-01-14T02:44:34.106Z] The best model improves the baseline by 14.52%. [2026-01-14T02:44:34.474Z] Top recommended movies for user id 72: [2026-01-14T02:44:34.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:44:34.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:44:34.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:44:34.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:44:34.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:44:34.474Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18599.135 ms) ====== [2026-01-14T02:44:34.474Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T02:44:34.474Z] GC before operation: completed in 0.453 ms, heap usage 170.365 MB -> 170.393 MB. [2026-01-14T02:44:37.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:40.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:42.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:45.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:44:47.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:44:48.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:44:50.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:44:52.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:44:52.668Z] 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. [2026-01-14T02:44:52.668Z] The best model improves the baseline by 14.52%. [2026-01-14T02:44:52.668Z] Top recommended movies for user id 72: [2026-01-14T02:44:52.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:44:52.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:44:52.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:44:52.669Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:44:52.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:44:52.669Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18315.807 ms) ====== [2026-01-14T02:44:52.669Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T02:44:53.046Z] GC before operation: completed in 128.445 ms, heap usage 502.905 MB -> 90.369 MB. [2026-01-14T02:44:56.220Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:58.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:45:01.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:45:04.394Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:05.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:08.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:09.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:11.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:11.714Z] 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. [2026-01-14T02:45:11.714Z] The best model improves the baseline by 14.52%. [2026-01-14T02:45:11.714Z] Top recommended movies for user id 72: [2026-01-14T02:45:11.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:45:11.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:45:11.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:45:11.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:45:11.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:45:11.714Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18792.469 ms) ====== [2026-01-14T02:45:11.714Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T02:45:11.714Z] GC before operation: completed in 126.273 ms, heap usage 521.975 MB -> 90.530 MB. [2026-01-14T02:45:14.876Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:45:19.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:45:22.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:45:24.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:26.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:28.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:30.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:31.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:32.052Z] 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. [2026-01-14T02:45:32.052Z] The best model improves the baseline by 14.52%. [2026-01-14T02:45:32.413Z] Top recommended movies for user id 72: [2026-01-14T02:45:32.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:45:32.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:45:32.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:45:32.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:45:32.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:45:32.413Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20541.757 ms) ====== [2026-01-14T02:45:32.413Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T02:45:32.413Z] GC before operation: completed in 133.394 ms, heap usage 138.603 MB -> 95.914 MB. [2026-01-14T02:45:35.607Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:45:38.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:45:41.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:45:44.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:46.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:48.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:50.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:51.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:51.703Z] 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. [2026-01-14T02:45:51.703Z] The best model improves the baseline by 14.52%. [2026-01-14T02:45:52.092Z] Top recommended movies for user id 72: [2026-01-14T02:45:52.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:45:52.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:45:52.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:45:52.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:45:52.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:45:52.092Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19427.854 ms) ====== [2026-01-14T02:45:52.092Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T02:45:52.092Z] GC before operation: completed in 137.104 ms, heap usage 312.246 MB -> 96.307 MB. [2026-01-14T02:45:55.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:45:57.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:46:00.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:46:03.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:46:05.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:46:06.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:46:08.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:46:10.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:46:10.619Z] 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. [2026-01-14T02:46:10.619Z] The best model improves the baseline by 14.52%. [2026-01-14T02:46:10.987Z] Top recommended movies for user id 72: [2026-01-14T02:46:10.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:46:10.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:46:10.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:46:10.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:46:10.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:46:10.987Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18744.627 ms) ====== [2026-01-14T02:46:10.987Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T02:46:10.987Z] GC before operation: completed in 132.541 ms, heap usage 756.671 MB -> 94.076 MB. [2026-01-14T02:46:14.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:46:17.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:46:20.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:46:23.030Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:46:24.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:46:26.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:46:28.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:46:29.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:46:30.169Z] 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. [2026-01-14T02:46:30.169Z] The best model improves the baseline by 14.52%. [2026-01-14T02:46:30.169Z] Top recommended movies for user id 72: [2026-01-14T02:46:30.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:46:30.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:46:30.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:46:30.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:46:30.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:46:30.169Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19347.929 ms) ====== [2026-01-14T02:46:30.169Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T02:46:30.533Z] GC before operation: completed in 128.175 ms, heap usage 181.403 MB -> 92.535 MB. [2026-01-14T02:46:33.763Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:46:36.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:46:39.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:46:41.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:46:43.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:46:45.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:46:46.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:46:48.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:46:48.734Z] 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. [2026-01-14T02:46:48.734Z] The best model improves the baseline by 14.52%. [2026-01-14T02:46:49.101Z] Top recommended movies for user id 72: [2026-01-14T02:46:49.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:46:49.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:46:49.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:46:49.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:46:49.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:46:49.101Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18532.184 ms) ====== [2026-01-14T02:46:49.101Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T02:46:49.101Z] GC before operation: completed in 126.142 ms, heap usage 359.975 MB -> 90.244 MB. [2026-01-14T02:46:52.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:46:54.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:46:57.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:47:00.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:47:01.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:47:03.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:47:05.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:47:06.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:47:07.218Z] 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. [2026-01-14T02:47:07.218Z] The best model improves the baseline by 14.52%. [2026-01-14T02:47:07.626Z] Top recommended movies for user id 72: [2026-01-14T02:47:07.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:47:07.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:47:07.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:47:07.626Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:47:07.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:47:07.626Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18365.646 ms) ====== [2026-01-14T02:47:07.626Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T02:47:07.626Z] GC before operation: completed in 121.343 ms, heap usage 213.184 MB -> 90.056 MB. [2026-01-14T02:47:10.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:47:13.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:47:15.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:47:19.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:47:20.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:47:22.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:47:23.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:47:25.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:47:25.578Z] 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. [2026-01-14T02:47:25.578Z] The best model improves the baseline by 14.52%. [2026-01-14T02:47:25.942Z] Top recommended movies for user id 72: [2026-01-14T02:47:25.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T02:47:25.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T02:47:25.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T02:47:25.942Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T02:47:25.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T02:47:25.942Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18296.807 ms) ====== [2026-01-14T02:47:26.838Z] ----------------------------------- [2026-01-14T02:47:26.838Z] renaissance-movie-lens_0_PASSED [2026-01-14T02:47:26.838Z] ----------------------------------- [2026-01-14T02:47:26.838Z] [2026-01-14T02:47:26.838Z] TEST TEARDOWN: [2026-01-14T02:47:26.838Z] Nothing to be done for teardown. [2026-01-14T02:47:26.838Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 02:47:26 2026 Epoch Time (ms): 1768358846405