renaissance-movie-lens_0
[2026-03-07T13:21:08.454Z] Running test renaissance-movie-lens_0 ...
[2026-03-07T13:21:08.454Z] ===============================================
[2026-03-07T13:21:08.454Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 13:21:08 2026 Epoch Time (ms): 1772889668115
[2026-03-07T13:21:08.454Z] variation: NoOptions
[2026-03-07T13:21:08.454Z] JVM_OPTIONS:
[2026-03-07T13:21:08.454Z] { \
[2026-03-07T13:21:08.454Z] echo ""; echo "TEST SETUP:"; \
[2026-03-07T13:21:08.454Z] echo "Nothing to be done for setup."; \
[2026-03-07T13:21:08.454Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17728889069993/renaissance-movie-lens_0"; \
[2026-03-07T13:21:08.454Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17728889069993/renaissance-movie-lens_0"; \
[2026-03-07T13:21:08.454Z] echo ""; echo "TESTING:"; \
[2026-03-07T13:21:08.454Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17728889069993/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-07T13:21:08.454Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17728889069993/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-07T13:21:08.454Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-07T13:21:08.454Z] echo "Nothing to be done for teardown."; \
[2026-03-07T13:21:08.454Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17728889069993/TestTargetResult";
[2026-03-07T13:21:08.454Z]
[2026-03-07T13:21:08.454Z] TEST SETUP:
[2026-03-07T13:21:08.454Z] Nothing to be done for setup.
[2026-03-07T13:21:08.454Z]
[2026-03-07T13:21:08.454Z] TESTING:
[2026-03-07T13:21:09.171Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-07T13:21:09.171Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17728889069993/renaissance-movie-lens_0/launcher-132108-17151889149456526042/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-07T13:21:09.171Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-07T13:21:09.171Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-07T13:21:13.372Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-07T13:21:23.442Z] 13:21:22.630 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-07T13:21:24.930Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-07T13:21:25.653Z] Training: 60056, validation: 20285, test: 19854
[2026-03-07T13:21:25.653Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-07T13:21:25.653Z] GC before operation: completed in 129.946 ms, heap usage 223.760 MB -> 75.622 MB.
[2026-03-07T13:21:32.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:21:35.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:21:38.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:21:42.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:21:43.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:21:45.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:21:46.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:21:48.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:21:49.194Z] 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.
[2026-03-07T13:21:49.194Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:21:49.194Z] Top recommended movies for user id 72:
[2026-03-07T13:21:49.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:21:49.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:21:49.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:21:49.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:21:49.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:21:49.195Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23529.781 ms) ======
[2026-03-07T13:21:49.195Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-07T13:21:49.195Z] GC before operation: completed in 125.610 ms, heap usage 119.732 MB -> 86.124 MB.
[2026-03-07T13:21:52.427Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:21:55.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:21:58.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:01.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:02.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:04.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:06.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:08.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:08.146Z] 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.
[2026-03-07T13:22:08.146Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:22:08.871Z] Top recommended movies for user id 72:
[2026-03-07T13:22:08.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:22:08.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:22:08.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:22:08.871Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:22:08.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:22:08.871Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19221.050 ms) ======
[2026-03-07T13:22:08.871Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-07T13:22:08.871Z] GC before operation: completed in 129.369 ms, heap usage 276.259 MB -> 88.402 MB.
[2026-03-07T13:22:11.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:22:14.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:22:16.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:19.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:20.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:22.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:23.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:25.031Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:25.031Z] 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.
[2026-03-07T13:22:25.031Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:22:25.753Z] Top recommended movies for user id 72:
[2026-03-07T13:22:25.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:22:25.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:22:25.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:22:25.753Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:22:25.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:22:25.753Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16577.533 ms) ======
[2026-03-07T13:22:25.753Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-07T13:22:25.753Z] GC before operation: completed in 143.660 ms, heap usage 247.388 MB -> 89.116 MB.
[2026-03-07T13:22:28.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:22:30.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:22:32.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:35.039Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:37.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:38.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:40.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:41.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:41.570Z] 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.
[2026-03-07T13:22:41.570Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:22:41.570Z] Top recommended movies for user id 72:
[2026-03-07T13:22:41.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:22:41.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:22:41.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:22:41.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:22:41.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:22:41.570Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16290.899 ms) ======
[2026-03-07T13:22:41.570Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-07T13:22:42.290Z] GC before operation: completed in 123.961 ms, heap usage 504.120 MB -> 89.799 MB.
[2026-03-07T13:22:44.609Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:22:46.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:22:50.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:52.498Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:53.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:56.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:57.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:59.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:59.316Z] 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.
[2026-03-07T13:22:59.316Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:23:00.035Z] Top recommended movies for user id 72:
[2026-03-07T13:23:00.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:23:00.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:23:00.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:23:00.035Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:23:00.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:23:00.035Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17800.462 ms) ======
[2026-03-07T13:23:00.035Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-07T13:23:00.035Z] GC before operation: completed in 126.645 ms, heap usage 132.356 MB -> 89.232 MB.
[2026-03-07T13:23:02.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:23:05.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:23:07.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:23:11.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:23:12.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:23:14.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:23:16.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:23:17.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:23:17.946Z] 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.
[2026-03-07T13:23:17.946Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:23:17.946Z] Top recommended movies for user id 72:
[2026-03-07T13:23:17.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:23:17.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:23:17.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:23:17.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:23:17.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:23:17.946Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17942.709 ms) ======
[2026-03-07T13:23:17.946Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-07T13:23:17.946Z] GC before operation: completed in 118.665 ms, heap usage 158.272 MB -> 89.590 MB.
[2026-03-07T13:23:20.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:23:22.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:23:24.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:23:27.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:23:29.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:23:33.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:23:35.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:23:36.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:23:37.319Z] 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.
[2026-03-07T13:23:37.319Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:23:37.319Z] Top recommended movies for user id 72:
[2026-03-07T13:23:37.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:23:37.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:23:37.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:23:37.319Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:23:37.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:23:37.319Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19297.699 ms) ======
[2026-03-07T13:23:37.319Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-07T13:23:37.319Z] GC before operation: completed in 106.096 ms, heap usage 373.712 MB -> 89.899 MB.
[2026-03-07T13:23:45.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:23:56.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:23:58.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:00.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:01.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:03.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:04.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:06.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:06.382Z] 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.
[2026-03-07T13:24:06.382Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:06.382Z] Top recommended movies for user id 72:
[2026-03-07T13:24:06.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:06.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:06.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:06.382Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:06.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:06.382Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29247.896 ms) ======
[2026-03-07T13:24:06.382Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-07T13:24:06.382Z] GC before operation: completed in 117.664 ms, heap usage 367.268 MB -> 90.154 MB.
[2026-03-07T13:24:09.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:11.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:14.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:16.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:18.082Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:18.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:20.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:21.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:22.619Z] 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.
[2026-03-07T13:24:22.619Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:22.619Z] Top recommended movies for user id 72:
[2026-03-07T13:24:22.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:22.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:22.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:22.619Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:22.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:22.619Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15846.320 ms) ======
[2026-03-07T13:24:22.619Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-07T13:24:22.619Z] GC before operation: completed in 111.147 ms, heap usage 295.990 MB -> 89.909 MB.
[2026-03-07T13:24:24.941Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:27.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:29.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:31.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:33.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:33.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:35.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:36.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:36.778Z] 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.
[2026-03-07T13:24:36.778Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:36.778Z] Top recommended movies for user id 72:
[2026-03-07T13:24:36.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:36.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:36.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:36.778Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:36.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:36.778Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14233.668 ms) ======
[2026-03-07T13:24:36.778Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-07T13:24:36.778Z] GC before operation: completed in 124.784 ms, heap usage 445.891 MB -> 90.306 MB.
[2026-03-07T13:24:39.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:41.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:43.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:46.089Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:47.594Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:49.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:50.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:52.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:52.816Z] 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.
[2026-03-07T13:24:52.816Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:52.816Z] Top recommended movies for user id 72:
[2026-03-07T13:24:52.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:52.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:52.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:52.816Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:52.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:52.816Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15659.097 ms) ======
[2026-03-07T13:24:52.816Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-07T13:24:52.816Z] GC before operation: completed in 111.048 ms, heap usage 390.060 MB -> 89.959 MB.
[2026-03-07T13:24:55.145Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:57.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:59.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:02.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:03.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:05.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:06.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:08.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:08.116Z] 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.
[2026-03-07T13:25:08.116Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:08.116Z] Top recommended movies for user id 72:
[2026-03-07T13:25:08.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:08.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:08.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:08.116Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:08.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:08.116Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15561.313 ms) ======
[2026-03-07T13:25:08.116Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-07T13:25:08.841Z] GC before operation: completed in 108.146 ms, heap usage 96.793 MB -> 90.429 MB.
[2026-03-07T13:25:11.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:13.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:15.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:17.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:18.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:20.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:21.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:23.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:23.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-07T13:25:23.098Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:23.098Z] Top recommended movies for user id 72:
[2026-03-07T13:25:23.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:23.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:23.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:23.098Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:23.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:23.098Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14742.058 ms) ======
[2026-03-07T13:25:23.098Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-07T13:25:23.098Z] GC before operation: completed in 117.372 ms, heap usage 436.768 MB -> 90.332 MB.
[2026-03-07T13:25:26.331Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:27.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:30.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:32.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:33.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:35.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:36.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:38.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:38.490Z] 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.
[2026-03-07T13:25:38.490Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:39.209Z] Top recommended movies for user id 72:
[2026-03-07T13:25:39.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:39.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:39.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:39.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:39.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:39.209Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15513.979 ms) ======
[2026-03-07T13:25:39.209Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-07T13:25:39.209Z] GC before operation: completed in 119.388 ms, heap usage 471.103 MB -> 90.144 MB.
[2026-03-07T13:25:41.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:43.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:46.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:48.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:50.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:51.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:53.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:54.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:54.518Z] 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.
[2026-03-07T13:25:54.518Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:54.518Z] Top recommended movies for user id 72:
[2026-03-07T13:25:54.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:54.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:54.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:54.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:54.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:54.518Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15800.445 ms) ======
[2026-03-07T13:25:54.518Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-07T13:25:55.243Z] GC before operation: completed in 116.519 ms, heap usage 295.096 MB -> 90.215 MB.
[2026-03-07T13:25:57.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:59.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:02.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:04.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:06.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:07.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:09.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:10.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:10.690Z] 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.
[2026-03-07T13:26:10.690Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:11.410Z] Top recommended movies for user id 72:
[2026-03-07T13:26:11.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:11.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:11.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:11.410Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:11.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:11.410Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16237.243 ms) ======
[2026-03-07T13:26:11.410Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-07T13:26:11.410Z] GC before operation: completed in 124.388 ms, heap usage 143.598 MB -> 89.791 MB.
[2026-03-07T13:26:13.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:26:16.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:18.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:20.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:21.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:23.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:24.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:26.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:26.451Z] 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.
[2026-03-07T13:26:26.451Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:26.451Z] Top recommended movies for user id 72:
[2026-03-07T13:26:26.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:26.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:26.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:26.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:26.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:26.451Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15470.761 ms) ======
[2026-03-07T13:26:26.451Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-07T13:26:27.171Z] GC before operation: completed in 124.672 ms, heap usage 552.874 MB -> 93.719 MB.
[2026-03-07T13:26:29.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:26:31.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:34.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:36.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:37.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:39.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:41.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:42.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:42.503Z] 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.
[2026-03-07T13:26:42.503Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:42.503Z] Top recommended movies for user id 72:
[2026-03-07T13:26:42.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:42.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:42.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:42.503Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:42.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:42.503Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15712.215 ms) ======
[2026-03-07T13:26:42.503Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-07T13:26:42.503Z] GC before operation: completed in 120.437 ms, heap usage 373.235 MB -> 90.079 MB.
[2026-03-07T13:26:44.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:26:47.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:49.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:51.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:53.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:54.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:56.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:27:00.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:27:00.560Z] 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.
[2026-03-07T13:27:00.560Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:27:00.560Z] Top recommended movies for user id 72:
[2026-03-07T13:27:00.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:27:00.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:27:00.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:27:00.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:27:00.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:27:00.560Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17704.326 ms) ======
[2026-03-07T13:27:00.560Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-07T13:27:00.560Z] GC before operation: completed in 114.383 ms, heap usage 117.417 MB -> 89.811 MB.
[2026-03-07T13:27:02.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:27:07.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:27:10.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:27:15.556Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:27:17.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:27:22.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:27:24.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:27:25.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:27:25.500Z] 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.
[2026-03-07T13:27:25.500Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:27:25.500Z] Top recommended movies for user id 72:
[2026-03-07T13:27:25.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:27:25.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:27:25.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:27:25.500Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:27:25.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:27:25.500Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24927.996 ms) ======
[2026-03-07T13:27:25.500Z] -----------------------------------
[2026-03-07T13:27:25.500Z] renaissance-movie-lens_0_PASSED
[2026-03-07T13:27:25.500Z] -----------------------------------
[2026-03-07T13:27:25.500Z]
[2026-03-07T13:27:25.500Z] TEST TEARDOWN:
[2026-03-07T13:27:25.500Z] Nothing to be done for teardown.
[2026-03-07T13:27:25.500Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 13:27:25 2026 Epoch Time (ms): 1772890045418