renaissance-movie-lens_0
[2026-01-03T21:44:16.383Z] Running test renaissance-movie-lens_0 ...
[2026-01-03T21:44:16.383Z] ===============================================
[2026-01-03T21:44:16.383Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 21:44:15 2026 Epoch Time (ms): 1767476655906
[2026-01-03T21:44:16.383Z] variation: NoOptions
[2026-01-03T21:44:16.383Z] JVM_OPTIONS:
[2026-01-03T21:44:16.383Z] { \
[2026-01-03T21:44:16.383Z] echo ""; echo "TEST SETUP:"; \
[2026-01-03T21:44:16.383Z] echo "Nothing to be done for setup."; \
[2026-01-03T21:44:16.383Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17674755375587/renaissance-movie-lens_0"; \
[2026-01-03T21:44:16.383Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17674755375587/renaissance-movie-lens_0"; \
[2026-01-03T21:44:16.383Z] echo ""; echo "TESTING:"; \
[2026-01-03T21:44:16.383Z] "/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_17674755375587/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-03T21:44:16.383Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17674755375587/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-03T21:44:16.383Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-03T21:44:16.383Z] echo "Nothing to be done for teardown."; \
[2026-01-03T21:44:16.383Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17674755375587/TestTargetResult";
[2026-01-03T21:44:16.383Z]
[2026-01-03T21:44:16.383Z] TEST SETUP:
[2026-01-03T21:44:16.383Z] Nothing to be done for setup.
[2026-01-03T21:44:16.383Z]
[2026-01-03T21:44:16.383Z] TESTING:
[2026-01-03T21:44:17.127Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-03T21:44:17.127Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17674755375587/renaissance-movie-lens_0/launcher-214416-1332273586507484863/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-03T21:44:17.127Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-03T21:44:17.127Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-03T21:44:21.461Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-03T21:44:28.542Z] 21:44:27.323 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.
[2026-01-03T21:44:30.095Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-03T21:44:30.095Z] Training: 60056, validation: 20285, test: 19854
[2026-01-03T21:44:30.095Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-03T21:44:30.846Z] GC before operation: completed in 134.994 ms, heap usage 151.770 MB -> 75.757 MB.
[2026-01-03T21:44:36.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:44:40.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:44:45.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:44:48.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:44:49.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:44:51.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:44:53.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:44:55.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:44:55.420Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:44:55.420Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:44:55.420Z] Top recommended movies for user id 72:
[2026-01-03T21:44:55.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:44:55.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:44:55.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:44:55.420Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:44:55.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:44:55.420Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25212.340 ms) ======
[2026-01-03T21:44:55.420Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-03T21:44:56.168Z] GC before operation: completed in 123.024 ms, heap usage 369.565 MB -> 86.600 MB.
[2026-01-03T21:44:58.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:45:01.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:45:04.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:45:07.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:45:08.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:45:10.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:45:11.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:45:13.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:45:13.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:45:13.536Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:45:13.536Z] Top recommended movies for user id 72:
[2026-01-03T21:45:13.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:45:13.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:45:13.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:45:13.536Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:45:13.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:45:13.536Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17845.865 ms) ======
[2026-01-03T21:45:13.536Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-03T21:45:13.536Z] GC before operation: completed in 129.119 ms, heap usage 122.650 MB -> 90.324 MB.
[2026-01-03T21:45:16.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:45:19.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:45:21.674Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:45:24.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:45:24.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:45:26.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:45:27.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:45:29.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:45:29.473Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:45:29.473Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:45:29.473Z] Top recommended movies for user id 72:
[2026-01-03T21:45:29.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:45:29.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:45:29.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:45:29.473Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:45:29.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:45:29.473Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15824.500 ms) ======
[2026-01-03T21:45:29.473Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-03T21:45:29.473Z] GC before operation: completed in 120.933 ms, heap usage 615.045 MB -> 93.034 MB.
[2026-01-03T21:45:31.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:45:34.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:45:36.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:45:39.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:45:39.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:45:41.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:45:43.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:45:44.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:45:44.599Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:45:44.599Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:45:44.599Z] Top recommended movies for user id 72:
[2026-01-03T21:45:44.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:45:44.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:45:44.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:45:44.599Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:45:44.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:45:44.599Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14883.177 ms) ======
[2026-01-03T21:45:44.599Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-03T21:45:44.599Z] GC before operation: completed in 121.417 ms, heap usage 217.876 MB -> 89.444 MB.
[2026-01-03T21:45:47.014Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:45:49.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:45:52.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:45:54.720Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:45:56.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:45:57.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:45:59.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:46:00.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:46:00.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:46:00.908Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:46:01.653Z] Top recommended movies for user id 72:
[2026-01-03T21:46:01.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:46:01.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:46:01.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:46:01.653Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:46:01.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:46:01.653Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16532.019 ms) ======
[2026-01-03T21:46:01.653Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-03T21:46:01.653Z] GC before operation: completed in 111.549 ms, heap usage 151.660 MB -> 89.342 MB.
[2026-01-03T21:46:04.050Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:46:06.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:46:08.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:46:10.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:46:11.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:46:13.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:46:14.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:46:15.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:46:15.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:46:15.807Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:46:16.550Z] Top recommended movies for user id 72:
[2026-01-03T21:46:16.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:46:16.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:46:16.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:46:16.551Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:46:16.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:46:16.551Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14858.500 ms) ======
[2026-01-03T21:46:16.551Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-03T21:46:16.551Z] GC before operation: completed in 128.341 ms, heap usage 122.726 MB -> 91.796 MB.
[2026-01-03T21:46:18.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:46:21.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:46:23.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:46:25.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:46:26.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:46:28.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:46:29.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:46:30.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:46:31.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:46:31.463Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:46:31.463Z] Top recommended movies for user id 72:
[2026-01-03T21:46:31.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:46:31.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:46:31.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:46:31.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:46:31.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:46:31.463Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14907.687 ms) ======
[2026-01-03T21:46:31.463Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-03T21:46:31.463Z] GC before operation: completed in 122.666 ms, heap usage 544.353 MB -> 93.488 MB.
[2026-01-03T21:46:33.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:46:36.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:46:38.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:46:40.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:46:41.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:46:42.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:46:44.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:46:46.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:46:46.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:46:46.093Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:46:46.093Z] Top recommended movies for user id 72:
[2026-01-03T21:46:46.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:46:46.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:46:46.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:46:46.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:46:46.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:46:46.093Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14744.835 ms) ======
[2026-01-03T21:46:46.093Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-03T21:46:46.093Z] GC before operation: completed in 125.964 ms, heap usage 245.088 MB -> 89.994 MB.
[2026-01-03T21:46:48.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:46:50.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:46:53.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:46:54.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:46:56.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:46:57.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:46:59.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:47:00.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:47:01.009Z] 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.
[2026-01-03T21:47:01.009Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:47:01.009Z] Top recommended movies for user id 72:
[2026-01-03T21:47:01.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:47:01.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:47:01.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:47:01.009Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:47:01.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:47:01.009Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14567.493 ms) ======
[2026-01-03T21:47:01.009Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-03T21:47:01.009Z] GC before operation: completed in 117.249 ms, heap usage 196.836 MB -> 89.819 MB.
[2026-01-03T21:47:03.413Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:47:05.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:47:08.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:47:09.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:47:11.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:47:12.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:47:14.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:47:15.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:47:15.958Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:47:15.958Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:47:16.703Z] Top recommended movies for user id 72:
[2026-01-03T21:47:16.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:47:16.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:47:16.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:47:16.703Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:47:16.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:47:16.703Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15461.661 ms) ======
[2026-01-03T21:47:16.703Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-03T21:47:16.703Z] GC before operation: completed in 122.078 ms, heap usage 290.500 MB -> 90.134 MB.
[2026-01-03T21:47:19.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:47:21.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:47:24.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:47:26.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:47:28.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:47:29.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:47:30.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:47:31.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:47:32.660Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:47:32.660Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:47:32.660Z] Top recommended movies for user id 72:
[2026-01-03T21:47:32.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:47:32.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:47:32.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:47:32.660Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:47:32.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:47:32.660Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16052.991 ms) ======
[2026-01-03T21:47:32.660Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-03T21:47:32.660Z] GC before operation: completed in 113.673 ms, heap usage 367.570 MB -> 89.971 MB.
[2026-01-03T21:47:35.063Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:47:37.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:47:39.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:47:41.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:47:42.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:47:44.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:47:46.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:47:46.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:47:46.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:47:47.568Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:47:47.568Z] Top recommended movies for user id 72:
[2026-01-03T21:47:47.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:47:47.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:47:47.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:47:47.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:47:47.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:47:47.568Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14585.724 ms) ======
[2026-01-03T21:47:47.568Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-03T21:47:47.568Z] GC before operation: completed in 117.222 ms, heap usage 435.545 MB -> 90.305 MB.
[2026-01-03T21:47:49.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:47:52.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:47:53.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:47:56.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:47:57.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:47:58.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:48:00.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:48:01.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:48:02.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:48:02.162Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:48:02.162Z] Top recommended movies for user id 72:
[2026-01-03T21:48:02.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:48:02.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:48:02.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:48:02.162Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:48:02.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:48:02.162Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14116.054 ms) ======
[2026-01-03T21:48:02.162Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-03T21:48:02.162Z] GC before operation: completed in 114.266 ms, heap usage 241.158 MB -> 90.134 MB.
[2026-01-03T21:48:03.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:48:06.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:48:08.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:48:10.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:48:11.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:48:12.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:48:13.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:48:15.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:48:15.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:48:15.455Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:48:15.455Z] Top recommended movies for user id 72:
[2026-01-03T21:48:15.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:48:15.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:48:15.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:48:15.455Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:48:15.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:48:15.455Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13731.818 ms) ======
[2026-01-03T21:48:15.455Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-03T21:48:15.455Z] GC before operation: completed in 119.536 ms, heap usage 116.388 MB -> 92.444 MB.
[2026-01-03T21:48:17.848Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:48:19.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:48:21.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:48:24.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:48:24.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:48:26.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:48:28.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:48:28.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:48:29.538Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:48:29.538Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:48:29.538Z] Top recommended movies for user id 72:
[2026-01-03T21:48:29.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:48:29.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:48:29.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:48:29.538Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:48:29.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:48:29.538Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13927.322 ms) ======
[2026-01-03T21:48:29.538Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-03T21:48:29.538Z] GC before operation: completed in 107.573 ms, heap usage 144.375 MB -> 90.105 MB.
[2026-01-03T21:48:31.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:48:34.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:48:36.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:48:38.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:48:39.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:48:41.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:48:42.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:48:44.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:48:44.193Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:48:44.193Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:48:44.193Z] Top recommended movies for user id 72:
[2026-01-03T21:48:44.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:48:44.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:48:44.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:48:44.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:48:44.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:48:44.193Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14855.178 ms) ======
[2026-01-03T21:48:44.193Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-03T21:48:44.193Z] GC before operation: completed in 112.057 ms, heap usage 455.574 MB -> 90.310 MB.
[2026-01-03T21:48:46.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:48:49.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:48:51.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:48:53.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:48:55.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:48:56.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:48:57.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:48:59.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:48:59.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:48:59.206Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:48:59.206Z] Top recommended movies for user id 72:
[2026-01-03T21:48:59.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:48:59.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:48:59.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:48:59.206Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:48:59.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:48:59.206Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14860.211 ms) ======
[2026-01-03T21:48:59.206Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-03T21:48:59.206Z] GC before operation: completed in 108.387 ms, heap usage 378.705 MB -> 90.373 MB.
[2026-01-03T21:49:01.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:49:04.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:49:06.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:49:08.813Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:49:09.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:49:11.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:49:12.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:49:14.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:49:14.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:49:14.195Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:49:14.195Z] Top recommended movies for user id 72:
[2026-01-03T21:49:14.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:49:14.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:49:14.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:49:14.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:49:14.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:49:14.195Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14972.068 ms) ======
[2026-01-03T21:49:14.195Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-03T21:49:14.948Z] GC before operation: completed in 123.494 ms, heap usage 374.114 MB -> 90.095 MB.
[2026-01-03T21:49:17.353Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:49:18.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:49:21.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:49:23.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:49:25.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:49:26.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:49:27.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:49:29.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:49:29.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T21:49:29.100Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:49:29.100Z] Top recommended movies for user id 72:
[2026-01-03T21:49:29.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:49:29.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:49:29.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:49:29.100Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:49:29.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:49:29.100Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14791.879 ms) ======
[2026-01-03T21:49:29.100Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-03T21:49:30.339Z] GC before operation: completed in 114.346 ms, heap usage 362.637 MB -> 90.252 MB.
[2026-01-03T21:49:31.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T21:49:34.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T21:49:36.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T21:49:38.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T21:49:39.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T21:49:41.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T21:49:42.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T21:49:43.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T21:49:44.376Z] 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.
[2026-01-03T21:49:44.376Z] The best model improves the baseline by 14.52%.
[2026-01-03T21:49:44.376Z] Top recommended movies for user id 72:
[2026-01-03T21:49:44.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T21:49:44.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T21:49:44.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T21:49:44.376Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T21:49:44.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T21:49:44.376Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14666.238 ms) ======
[2026-01-03T21:49:44.376Z] -----------------------------------
[2026-01-03T21:49:44.376Z] renaissance-movie-lens_0_PASSED
[2026-01-03T21:49:44.376Z] -----------------------------------
[2026-01-03T21:49:44.376Z]
[2026-01-03T21:49:44.376Z] TEST TEARDOWN:
[2026-01-03T21:49:44.376Z] Nothing to be done for teardown.
[2026-01-03T21:49:44.376Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 21:49:44 2026 Epoch Time (ms): 1767476984128