renaissance-movie-lens_0
[2026-04-14T02:35:11.645Z] Running test renaissance-movie-lens_0 ...
[2026-04-14T02:35:11.645Z] ===============================================
[2026-04-14T02:35:11.645Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 02:35:11 2026 Epoch Time (ms): 1776134111532
[2026-04-14T02:35:11.645Z] variation: NoOptions
[2026-04-14T02:35:11.645Z] JVM_OPTIONS:
[2026-04-14T02:35:12.629Z] { \
[2026-04-14T02:35:12.629Z] echo ""; echo "TEST SETUP:"; \
[2026-04-14T02:35:12.629Z] echo "Nothing to be done for setup."; \
[2026-04-14T02:35:12.629Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17761315961792/renaissance-movie-lens_0"; \
[2026-04-14T02:35:12.629Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17761315961792/renaissance-movie-lens_0"; \
[2026-04-14T02:35:12.629Z] echo ""; echo "TESTING:"; \
[2026-04-14T02:35:12.629Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-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_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17761315961792/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-14T02:35:12.629Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17761315961792/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-14T02:35:12.629Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-14T02:35:12.629Z] echo "Nothing to be done for teardown."; \
[2026-04-14T02:35:12.629Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17761315961792/TestTargetResult";
[2026-04-14T02:35:12.629Z]
[2026-04-14T02:35:12.629Z] TEST SETUP:
[2026-04-14T02:35:12.629Z] Nothing to be done for setup.
[2026-04-14T02:35:12.629Z]
[2026-04-14T02:35:12.629Z] TESTING:
[2026-04-14T02:35:14.627Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-14T02:35:14.627Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17761315961792/renaissance-movie-lens_0/launcher-023512-5323519470043241588/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-14T02:35:14.627Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-14T02:35:14.627Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-14T02:35:53.698Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-14T02:36:28.482Z] 02:36:24.452 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.
[2026-04-14T02:36:34.342Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-14T02:36:37.572Z] Training: 60056, validation: 20285, test: 19854
[2026-04-14T02:36:37.572Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-14T02:36:37.572Z] GC before operation: completed in 394.712 ms, heap usage 250.123 MB -> 75.643 MB.
[2026-04-14T02:37:16.808Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:37:33.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:37:47.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:38:03.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:38:10.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:38:19.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:38:25.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:38:34.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:38:34.933Z] 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.
[2026-04-14T02:38:35.932Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:38:36.920Z] Top recommended movies for user id 72:
[2026-04-14T02:38:36.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:38:36.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:38:36.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:38:36.920Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:38:36.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:38:36.920Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (118729.989 ms) ======
[2026-04-14T02:38:36.920Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-14T02:38:36.920Z] GC before operation: completed in 518.038 ms, heap usage 257.329 MB -> 100.675 MB.
[2026-04-14T02:38:50.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:39:00.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:39:12.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:39:26.820Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:39:33.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:39:43.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:39:51.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:39:58.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:39:59.541Z] 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.
[2026-04-14T02:40:00.546Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:40:01.535Z] Top recommended movies for user id 72:
[2026-04-14T02:40:01.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:40:01.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:40:01.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:40:01.535Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:40:01.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:40:01.535Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (83921.039 ms) ======
[2026-04-14T02:40:01.535Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-14T02:40:01.535Z] GC before operation: completed in 477.323 ms, heap usage 212.326 MB -> 88.254 MB.
[2026-04-14T02:40:18.223Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:40:28.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:40:38.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:40:50.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:40:57.729Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:41:04.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:41:13.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:41:33.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:41:33.009Z] 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.
[2026-04-14T02:41:33.009Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:41:33.009Z] Top recommended movies for user id 72:
[2026-04-14T02:41:33.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:41:33.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:41:33.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:41:33.009Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:41:33.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:41:33.009Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (81273.008 ms) ======
[2026-04-14T02:41:33.009Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-14T02:41:33.009Z] GC before operation: completed in 596.568 ms, heap usage 167.773 MB -> 89.006 MB.
[2026-04-14T02:41:40.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:41:49.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:42:01.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:42:14.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:42:23.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:42:30.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:42:37.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:42:44.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:42:45.785Z] 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.
[2026-04-14T02:42:45.785Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:42:45.785Z] Top recommended movies for user id 72:
[2026-04-14T02:42:45.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:42:45.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:42:45.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:42:45.785Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:42:45.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:42:45.785Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (82506.532 ms) ======
[2026-04-14T02:42:45.785Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-14T02:42:47.034Z] GC before operation: completed in 849.427 ms, heap usage 485.461 MB -> 89.563 MB.
[2026-04-14T02:42:59.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:43:11.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:43:22.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:43:34.714Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:43:40.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:43:46.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:43:52.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:43:59.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:43:59.225Z] 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.
[2026-04-14T02:43:59.225Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:44:00.301Z] Top recommended movies for user id 72:
[2026-04-14T02:44:00.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:44:00.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:44:00.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:44:00.301Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:44:00.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:44:00.301Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (73156.064 ms) ======
[2026-04-14T02:44:00.301Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-14T02:44:00.301Z] GC before operation: completed in 558.501 ms, heap usage 262.444 MB -> 89.243 MB.
[2026-04-14T02:44:12.189Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:44:21.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:44:32.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:44:40.491Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:44:46.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:44:51.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:44:55.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:45:01.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:45:01.508Z] 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.
[2026-04-14T02:45:01.508Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:45:02.501Z] Top recommended movies for user id 72:
[2026-04-14T02:45:02.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:45:02.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:45:02.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:45:02.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:45:02.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:45:02.501Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (61761.246 ms) ======
[2026-04-14T02:45:02.501Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-14T02:45:02.501Z] GC before operation: completed in 535.075 ms, heap usage 692.670 MB -> 93.333 MB.
[2026-04-14T02:45:12.599Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:45:21.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:45:30.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:45:40.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:45:45.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:45:51.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:45:57.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:46:02.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:46:02.657Z] 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.
[2026-04-14T02:46:02.657Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:46:03.643Z] Top recommended movies for user id 72:
[2026-04-14T02:46:03.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:46:03.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:46:03.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:46:03.643Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:46:03.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:46:03.643Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60584.906 ms) ======
[2026-04-14T02:46:03.643Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-14T02:46:03.643Z] GC before operation: completed in 456.380 ms, heap usage 249.895 MB -> 89.515 MB.
[2026-04-14T02:46:13.694Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:46:23.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:46:30.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:46:39.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:46:44.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:46:49.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:46:54.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:46:59.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:47:00.153Z] 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.
[2026-04-14T02:47:00.153Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:47:01.156Z] Top recommended movies for user id 72:
[2026-04-14T02:47:01.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:47:01.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:47:01.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:47:01.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:47:01.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:47:01.156Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (57035.007 ms) ======
[2026-04-14T02:47:01.156Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-14T02:47:01.156Z] GC before operation: completed in 442.599 ms, heap usage 448.956 MB -> 89.969 MB.
[2026-04-14T02:47:11.192Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:47:19.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:47:31.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:47:37.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:47:43.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:47:49.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:47:56.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:48:00.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:48:01.450Z] 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.
[2026-04-14T02:48:01.451Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:48:02.459Z] Top recommended movies for user id 72:
[2026-04-14T02:48:02.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:48:02.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:48:02.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:48:02.459Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:48:02.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:48:02.459Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (60861.484 ms) ======
[2026-04-14T02:48:02.459Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-14T02:48:02.459Z] GC before operation: completed in 419.819 ms, heap usage 397.756 MB -> 89.781 MB.
[2026-04-14T02:48:12.508Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:48:21.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:48:30.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:48:38.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:48:44.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:48:49.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:48:54.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:48:59.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:49:03.235Z] 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.
[2026-04-14T02:49:03.235Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:49:03.235Z] Top recommended movies for user id 72:
[2026-04-14T02:49:03.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:49:03.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:49:03.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:49:03.235Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:49:03.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:49:03.235Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (58549.659 ms) ======
[2026-04-14T02:49:03.235Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-14T02:49:03.235Z] GC before operation: completed in 642.468 ms, heap usage 181.399 MB -> 89.698 MB.
[2026-04-14T02:49:12.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:49:23.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:49:32.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:49:42.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:49:49.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:49:56.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:50:03.766Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:50:10.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:50:11.680Z] 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.
[2026-04-14T02:50:11.680Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:50:12.672Z] Top recommended movies for user id 72:
[2026-04-14T02:50:12.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:50:12.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:50:12.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:50:12.673Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:50:12.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:50:12.673Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (70731.210 ms) ======
[2026-04-14T02:50:12.673Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-14T02:50:12.673Z] GC before operation: completed in 438.598 ms, heap usage 120.367 MB -> 92.546 MB.
[2026-04-14T02:50:24.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:50:32.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:50:39.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:50:55.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:50:55.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:50:57.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:51:03.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:51:07.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:51:07.828Z] 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.
[2026-04-14T02:51:07.828Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:51:08.818Z] Top recommended movies for user id 72:
[2026-04-14T02:51:08.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:51:08.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:51:08.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:51:08.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:51:08.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:51:08.818Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (55637.470 ms) ======
[2026-04-14T02:51:08.818Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-14T02:51:08.818Z] GC before operation: completed in 508.734 ms, heap usage 463.818 MB -> 90.016 MB.
[2026-04-14T02:51:18.901Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:51:26.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:51:34.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:51:41.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:51:47.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:51:52.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:51:57.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:52:03.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:52:03.166Z] 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.
[2026-04-14T02:52:04.171Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:52:04.171Z] Top recommended movies for user id 72:
[2026-04-14T02:52:04.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:52:04.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:52:04.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:52:04.171Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:52:04.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:52:04.171Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55141.153 ms) ======
[2026-04-14T02:52:04.171Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-14T02:52:05.157Z] GC before operation: completed in 468.513 ms, heap usage 315.750 MB -> 90.001 MB.
[2026-04-14T02:52:15.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:52:23.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:52:32.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:52:40.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:52:45.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:52:49.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:52:54.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:52:59.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:52:59.648Z] 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.
[2026-04-14T02:52:59.648Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:53:00.650Z] Top recommended movies for user id 72:
[2026-04-14T02:53:00.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:53:00.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:53:00.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:53:00.650Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:53:00.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:53:00.650Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55524.264 ms) ======
[2026-04-14T02:53:00.650Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-14T02:53:00.651Z] GC before operation: completed in 394.349 ms, heap usage 700.705 MB -> 93.482 MB.
[2026-04-14T02:53:09.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:53:16.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:53:24.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:53:31.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:53:34.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:53:38.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:53:43.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:53:48.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:53:49.065Z] 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.
[2026-04-14T02:53:49.065Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:53:49.065Z] Top recommended movies for user id 72:
[2026-04-14T02:53:49.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:53:49.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:53:49.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:53:49.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:53:49.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:53:49.065Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48334.964 ms) ======
[2026-04-14T02:53:49.065Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-14T02:53:49.065Z] GC before operation: completed in 428.428 ms, heap usage 486.809 MB -> 90.252 MB.
[2026-04-14T02:53:57.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:54:04.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:54:11.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:54:18.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:54:22.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:54:26.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:54:31.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:54:35.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:54:36.278Z] 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.
[2026-04-14T02:54:36.278Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:54:36.278Z] Top recommended movies for user id 72:
[2026-04-14T02:54:36.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:54:36.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:54:36.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:54:36.278Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:54:36.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:54:36.278Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46890.549 ms) ======
[2026-04-14T02:54:36.278Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-14T02:54:37.257Z] GC before operation: completed in 452.448 ms, heap usage 177.669 MB -> 89.709 MB.
[2026-04-14T02:54:46.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:54:53.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:55:01.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:55:09.485Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:55:15.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:55:19.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:55:23.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:55:29.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:55:30.539Z] 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.
[2026-04-14T02:55:30.539Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:55:30.539Z] Top recommended movies for user id 72:
[2026-04-14T02:55:30.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:55:30.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:55:30.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:55:30.539Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:55:30.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:55:30.539Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53972.658 ms) ======
[2026-04-14T02:55:30.539Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-14T02:55:31.518Z] GC before operation: completed in 336.359 ms, heap usage 210.275 MB -> 89.762 MB.
[2026-04-14T02:55:42.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:55:51.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:56:02.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:56:12.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:56:18.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:56:26.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:56:31.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:56:37.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:56:37.376Z] 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.
[2026-04-14T02:56:37.376Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:56:38.389Z] Top recommended movies for user id 72:
[2026-04-14T02:56:38.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:56:38.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:56:38.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:56:38.389Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:56:38.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:56:38.389Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (67289.639 ms) ======
[2026-04-14T02:56:38.389Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-14T02:56:38.389Z] GC before operation: completed in 381.683 ms, heap usage 121.187 MB -> 89.573 MB.
[2026-04-14T02:56:48.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:56:57.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:57:07.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:57:14.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:57:20.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:57:24.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:57:30.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:57:34.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:57:35.592Z] 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.
[2026-04-14T02:57:35.592Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:57:36.614Z] Top recommended movies for user id 72:
[2026-04-14T02:57:36.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:57:36.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:57:36.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:57:36.614Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:57:36.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:57:36.614Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (57759.909 ms) ======
[2026-04-14T02:57:36.614Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-14T02:57:36.614Z] GC before operation: completed in 358.308 ms, heap usage 210.195 MB -> 89.732 MB.
[2026-04-14T02:57:45.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-14T02:57:52.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-14T02:57:59.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-14T02:58:06.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-14T02:58:12.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-14T02:58:16.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-14T02:58:20.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-14T02:58:25.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-14T02:58:26.168Z] 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.
[2026-04-14T02:58:26.168Z] The best model improves the baseline by 14.52%.
[2026-04-14T02:58:26.168Z] Top recommended movies for user id 72:
[2026-04-14T02:58:26.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-14T02:58:26.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-14T02:58:26.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-14T02:58:26.168Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-14T02:58:26.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-14T02:58:26.168Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49193.621 ms) ======
[2026-04-14T02:58:30.452Z] -----------------------------------
[2026-04-14T02:58:30.452Z] renaissance-movie-lens_0_PASSED
[2026-04-14T02:58:30.452Z] -----------------------------------
[2026-04-14T02:58:30.452Z]
[2026-04-14T02:58:30.452Z] TEST TEARDOWN:
[2026-04-14T02:58:30.452Z] Nothing to be done for teardown.
[2026-04-14T02:58:30.452Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 02:58:29 2026 Epoch Time (ms): 1776135509640