renaissance-movie-lens_0
[2026-03-07T13:18:16.593Z] Running test renaissance-movie-lens_0 ...
[2026-03-07T13:18:16.593Z] ===============================================
[2026-03-07T13:18:16.593Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 13:18:15 2026 Epoch Time (ms): 1772889495943
[2026-03-07T13:18:16.593Z] variation: NoOptions
[2026-03-07T13:18:16.593Z] JVM_OPTIONS:
[2026-03-07T13:18:16.593Z] { \
[2026-03-07T13:18:16.593Z] echo ""; echo "TEST SETUP:"; \
[2026-03-07T13:18:16.593Z] echo "Nothing to be done for setup."; \
[2026-03-07T13:18:16.593Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17728882566167/renaissance-movie-lens_0"; \
[2026-03-07T13:18:16.593Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17728882566167/renaissance-movie-lens_0"; \
[2026-03-07T13:18:16.593Z] echo ""; echo "TESTING:"; \
[2026-03-07T13:18:16.593Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17728882566167/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-07T13:18:16.593Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17728882566167/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-07T13:18:16.593Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-07T13:18:16.593Z] echo "Nothing to be done for teardown."; \
[2026-03-07T13:18:16.593Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17728882566167/TestTargetResult";
[2026-03-07T13:18:16.593Z]
[2026-03-07T13:18:16.593Z] TEST SETUP:
[2026-03-07T13:18:16.593Z] Nothing to be done for setup.
[2026-03-07T13:18:16.593Z]
[2026-03-07T13:18:16.593Z] TESTING:
[2026-03-07T13:18:17.556Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-07T13:18:17.556Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17728882566167/renaissance-movie-lens_0/launcher-131816-1060194234674086634/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-07T13:18:17.556Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-07T13:18:17.556Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-07T13:18:25.814Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-07T13:18:39.530Z] 13:18:37.666 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.
[2026-03-07T13:18:41.539Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-07T13:18:42.509Z] Training: 60056, validation: 20285, test: 19854
[2026-03-07T13:18:42.509Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-07T13:18:42.509Z] GC before operation: completed in 203.622 ms, heap usage 215.202 MB -> 75.572 MB.
[2026-03-07T13:18:56.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:19:02.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:19:09.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:19:16.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:19:19.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:19:22.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:19:25.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:19:28.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:19:29.910Z] 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.
[2026-03-07T13:19:29.910Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:19:29.910Z] Top recommended movies for user id 72:
[2026-03-07T13:19:29.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:19:29.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:19:29.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:19:29.910Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:19:29.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:19:29.910Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47474.502 ms) ======
[2026-03-07T13:19:29.910Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-07T13:19:30.882Z] GC before operation: completed in 247.450 ms, heap usage 300.373 MB -> 91.335 MB.
[2026-03-07T13:19:36.657Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:19:43.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:19:49.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:19:55.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:19:58.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:20:01.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:20:05.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:20:08.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:20:08.797Z] 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.
[2026-03-07T13:20:09.838Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:20:09.838Z] Top recommended movies for user id 72:
[2026-03-07T13:20:09.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:20:09.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:20:09.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:20:09.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:20:09.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:20:09.838Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38934.373 ms) ======
[2026-03-07T13:20:09.838Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-07T13:20:09.838Z] GC before operation: completed in 547.552 ms, heap usage 148.802 MB -> 88.142 MB.
[2026-03-07T13:20:14.773Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:20:20.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:20:26.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:20:31.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:20:33.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:20:36.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:20:39.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:20:41.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:20:42.942Z] 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.
[2026-03-07T13:20:42.942Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:20:42.942Z] Top recommended movies for user id 72:
[2026-03-07T13:20:42.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:20:42.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:20:42.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:20:42.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:20:42.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:20:42.942Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32956.736 ms) ======
[2026-03-07T13:20:42.942Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-07T13:20:42.942Z] GC before operation: completed in 218.229 ms, heap usage 233.424 MB -> 89.060 MB.
[2026-03-07T13:20:48.399Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:20:51.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:20:57.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:21:00.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:21:03.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:21:05.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:21:08.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:21:10.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:21:11.280Z] 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.
[2026-03-07T13:21:11.280Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:21:11.280Z] Top recommended movies for user id 72:
[2026-03-07T13:21:11.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:21:11.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:21:11.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:21:11.280Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:21:11.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:21:11.280Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28093.954 ms) ======
[2026-03-07T13:21:11.280Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-07T13:21:11.280Z] GC before operation: completed in 216.587 ms, heap usage 515.333 MB -> 89.699 MB.
[2026-03-07T13:21:15.468Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:21:20.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:21:26.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:21:30.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:21:33.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:21:36.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:21:39.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:21:41.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:21:42.793Z] 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.
[2026-03-07T13:21:42.793Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:21:42.793Z] Top recommended movies for user id 72:
[2026-03-07T13:21:42.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:21:42.793Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:21:42.793Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:21:42.793Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:21:42.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:21:42.794Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31549.011 ms) ======
[2026-03-07T13:21:42.794Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-07T13:21:43.770Z] GC before operation: completed in 248.803 ms, heap usage 102.259 MB -> 89.359 MB.
[2026-03-07T13:21:47.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:21:53.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:21:57.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:01.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:03.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:06.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:10.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:13.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:14.104Z] 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.
[2026-03-07T13:22:14.104Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:22:14.104Z] Top recommended movies for user id 72:
[2026-03-07T13:22:14.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:22:14.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:22:14.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:22:14.104Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:22:14.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:22:14.104Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30759.933 ms) ======
[2026-03-07T13:22:14.104Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-07T13:22:14.104Z] GC before operation: completed in 263.832 ms, heap usage 193.355 MB -> 89.614 MB.
[2026-03-07T13:22:20.108Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:22:23.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:22:27.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:22:30.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:22:34.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:22:37.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:22:39.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:22:42.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:22:42.370Z] 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.
[2026-03-07T13:22:42.370Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:22:42.370Z] Top recommended movies for user id 72:
[2026-03-07T13:22:42.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:22:42.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:22:42.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:22:42.370Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:22:42.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:22:42.370Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28174.524 ms) ======
[2026-03-07T13:22:42.370Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-07T13:22:42.370Z] GC before operation: completed in 212.801 ms, heap usage 405.802 MB -> 89.768 MB.
[2026-03-07T13:22:48.113Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:22:52.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:22:56.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:23:00.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:23:02.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:23:04.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:23:07.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:23:09.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:23:10.768Z] 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.
[2026-03-07T13:23:10.768Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:23:10.768Z] Top recommended movies for user id 72:
[2026-03-07T13:23:10.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:23:10.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:23:10.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:23:10.768Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:23:10.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:23:10.768Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27890.129 ms) ======
[2026-03-07T13:23:10.768Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-07T13:23:10.768Z] GC before operation: completed in 227.263 ms, heap usage 475.400 MB -> 90.057 MB.
[2026-03-07T13:23:14.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:23:19.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:23:24.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:23:28.504Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:23:30.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:23:32.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:23:35.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:23:37.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:23:38.501Z] 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.
[2026-03-07T13:23:38.501Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:23:38.501Z] Top recommended movies for user id 72:
[2026-03-07T13:23:38.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:23:38.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:23:38.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:23:38.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:23:38.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:23:38.501Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27541.621 ms) ======
[2026-03-07T13:23:38.501Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-07T13:23:38.501Z] GC before operation: completed in 222.116 ms, heap usage 133.601 MB -> 91.604 MB.
[2026-03-07T13:23:42.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:23:46.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:23:51.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:23:54.176Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:23:56.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:23:59.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:02.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:04.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:05.266Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-07T13:24:05.266Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:05.266Z] Top recommended movies for user id 72:
[2026-03-07T13:24:05.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:05.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:05.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:05.266Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:05.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:05.266Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26341.272 ms) ======
[2026-03-07T13:24:05.266Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-07T13:24:05.266Z] GC before operation: completed in 200.801 ms, heap usage 125.509 MB -> 89.714 MB.
[2026-03-07T13:24:09.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:12.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:16.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:21.001Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:22.984Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:24.971Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:27.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:30.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:30.746Z] 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.
[2026-03-07T13:24:30.746Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:30.746Z] Top recommended movies for user id 72:
[2026-03-07T13:24:30.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:30.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:30.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:30.746Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:30.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:30.746Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25783.724 ms) ======
[2026-03-07T13:24:30.746Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-07T13:24:31.708Z] GC before operation: completed in 214.090 ms, heap usage 410.953 MB -> 89.793 MB.
[2026-03-07T13:24:34.798Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:24:39.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:24:42.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:24:46.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:24:48.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:24:50.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:24:53.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:24:55.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:24:55.260Z] 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.
[2026-03-07T13:24:55.260Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:24:55.260Z] Top recommended movies for user id 72:
[2026-03-07T13:24:55.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:24:55.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:24:55.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:24:55.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:24:55.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:24:55.260Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24398.268 ms) ======
[2026-03-07T13:24:55.260Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-07T13:24:56.222Z] GC before operation: completed in 312.671 ms, heap usage 165.711 MB -> 89.743 MB.
[2026-03-07T13:25:00.444Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:03.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:07.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:11.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:13.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:15.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:17.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:21.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:21.029Z] 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.
[2026-03-07T13:25:21.029Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:21.029Z] Top recommended movies for user id 72:
[2026-03-07T13:25:21.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:21.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:21.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:21.029Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:21.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:21.029Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25087.054 ms) ======
[2026-03-07T13:25:21.029Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-07T13:25:21.029Z] GC before operation: completed in 229.452 ms, heap usage 621.125 MB -> 93.582 MB.
[2026-03-07T13:25:25.233Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:28.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:32.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:36.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:25:37.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:25:39.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:25:41.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:25:44.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:25:44.260Z] 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.
[2026-03-07T13:25:44.260Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:25:44.260Z] Top recommended movies for user id 72:
[2026-03-07T13:25:44.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:25:44.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:25:44.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:25:44.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:25:44.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:25:44.260Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23176.624 ms) ======
[2026-03-07T13:25:44.260Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-07T13:25:44.260Z] GC before operation: completed in 200.036 ms, heap usage 379.767 MB -> 90.050 MB.
[2026-03-07T13:25:48.466Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:25:51.523Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:25:55.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:25:58.795Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:00.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:02.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:05.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:07.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:08.763Z] 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.
[2026-03-07T13:26:08.763Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:08.763Z] Top recommended movies for user id 72:
[2026-03-07T13:26:08.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:08.763Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:08.763Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:08.763Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:08.763Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:08.763Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23960.222 ms) ======
[2026-03-07T13:26:08.763Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-07T13:26:08.763Z] GC before operation: completed in 213.658 ms, heap usage 140.295 MB -> 90.191 MB.
[2026-03-07T13:26:12.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:26:17.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:20.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:23.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:26.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:28.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:30.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:32.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:32.460Z] 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.
[2026-03-07T13:26:33.461Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:33.461Z] Top recommended movies for user id 72:
[2026-03-07T13:26:33.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:33.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:33.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:33.461Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:33.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:33.461Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24336.281 ms) ======
[2026-03-07T13:26:33.461Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-07T13:26:33.461Z] GC before operation: completed in 226.023 ms, heap usage 457.279 MB -> 90.143 MB.
[2026-03-07T13:26:37.024Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:26:40.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:26:43.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:26:46.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:26:48.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:26:50.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:26:52.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:26:54.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:26:54.121Z] 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.
[2026-03-07T13:26:54.121Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:26:54.121Z] Top recommended movies for user id 72:
[2026-03-07T13:26:54.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:26:54.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:26:54.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:26:54.121Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:26:54.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:26:54.121Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21031.324 ms) ======
[2026-03-07T13:26:54.121Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-07T13:26:55.081Z] GC before operation: completed in 229.889 ms, heap usage 713.378 MB -> 93.741 MB.
[2026-03-07T13:26:58.133Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:27:01.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:27:05.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:27:09.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:27:11.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:27:13.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:27:16.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:27:18.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:27:18.628Z] 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.
[2026-03-07T13:27:19.730Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:27:19.730Z] Top recommended movies for user id 72:
[2026-03-07T13:27:19.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:27:19.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:27:19.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:27:19.730Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:27:19.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:27:19.730Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24743.074 ms) ======
[2026-03-07T13:27:19.730Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-07T13:27:19.730Z] GC before operation: completed in 191.831 ms, heap usage 371.230 MB -> 89.952 MB.
[2026-03-07T13:27:23.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:27:27.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:27:31.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:27:34.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:27:38.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:27:39.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:27:41.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:27:43.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:27:44.591Z] 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.
[2026-03-07T13:27:44.591Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:27:44.591Z] Top recommended movies for user id 72:
[2026-03-07T13:27:44.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:27:44.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:27:44.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:27:44.592Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:27:44.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:27:44.592Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25025.626 ms) ======
[2026-03-07T13:27:44.592Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-07T13:27:44.592Z] GC before operation: completed in 240.373 ms, heap usage 215.226 MB -> 89.815 MB.
[2026-03-07T13:27:48.816Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-07T13:27:53.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-07T13:27:56.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-07T13:28:00.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-07T13:28:02.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-07T13:28:04.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-07T13:28:07.766Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-07T13:28:09.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-07T13:28:09.748Z] 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.
[2026-03-07T13:28:09.748Z] The best model improves the baseline by 14.52%.
[2026-03-07T13:28:09.748Z] Top recommended movies for user id 72:
[2026-03-07T13:28:09.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-07T13:28:09.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-07T13:28:09.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-07T13:28:09.748Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-07T13:28:09.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-07T13:28:09.748Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25274.369 ms) ======
[2026-03-07T13:28:10.708Z] -----------------------------------
[2026-03-07T13:28:10.708Z] renaissance-movie-lens_0_PASSED
[2026-03-07T13:28:10.708Z] -----------------------------------
[2026-03-07T13:28:10.708Z]
[2026-03-07T13:28:10.708Z] TEST TEARDOWN:
[2026-03-07T13:28:10.708Z] Nothing to be done for teardown.
[2026-03-07T13:28:12.153Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 13:28:10 2026 Epoch Time (ms): 1772890090632