renaissance-movie-lens_0
[2026-02-20T12:40:30.634Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T12:40:30.634Z] ===============================================
[2026-02-20T12:40:30.634Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 12:40:30 2026 Epoch Time (ms): 1771591230529
[2026-02-20T12:40:30.634Z] variation: NoOptions
[2026-02-20T12:40:30.634Z] JVM_OPTIONS:
[2026-02-20T12:40:30.634Z] { \
[2026-02-20T12:40:30.634Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T12:40:30.634Z] echo "Nothing to be done for setup."; \
[2026-02-20T12:40:30.634Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17715886164844/renaissance-movie-lens_0"; \
[2026-02-20T12:40:30.634Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17715886164844/renaissance-movie-lens_0"; \
[2026-02-20T12:40:30.634Z] echo ""; echo "TESTING:"; \
[2026-02-20T12:40:30.634Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17715886164844/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T12:40:30.634Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17715886164844/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T12:40:30.634Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T12:40:30.634Z] echo "Nothing to be done for teardown."; \
[2026-02-20T12:40:30.634Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17715886164844/TestTargetResult";
[2026-02-20T12:40:30.634Z]
[2026-02-20T12:40:30.634Z] TEST SETUP:
[2026-02-20T12:40:30.634Z] Nothing to be done for setup.
[2026-02-20T12:40:30.634Z]
[2026-02-20T12:40:30.634Z] TESTING:
[2026-02-20T12:40:33.528Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-20T12:40:33.528Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17715886164844/renaissance-movie-lens_0/launcher-124031-9986890806467884891/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-20T12:40:33.528Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-20T12:40:33.528Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-20T12:40:56.443Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T12:41:29.684Z] 12:41:24.458 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-20T12:41:35.499Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T12:41:37.720Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T12:41:37.720Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T12:41:38.044Z] GC before operation: completed in 575.485 ms, heap usage 334.558 MB -> 75.912 MB.
[2026-02-20T12:42:05.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:42:18.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:42:31.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:42:42.559Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:42:48.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:42:54.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:43:00.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:43:06.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:43:08.134Z] 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.
[2026-02-20T12:43:08.468Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:43:09.156Z] Top recommended movies for user id 72:
[2026-02-20T12:43:09.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:43:09.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:43:09.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:43:09.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:43:09.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:43:09.156Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91281.498 ms) ======
[2026-02-20T12:43:09.156Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T12:43:10.314Z] GC before operation: completed in 1077.026 ms, heap usage 306.844 MB -> 90.328 MB.
[2026-02-20T12:43:21.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:43:31.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:43:40.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:43:49.533Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:43:55.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:44:01.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:44:08.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:44:13.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:44:13.352Z] 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.
[2026-02-20T12:44:13.352Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:44:14.033Z] Top recommended movies for user id 72:
[2026-02-20T12:44:14.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:44:14.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:44:14.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:44:14.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:44:14.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:44:14.033Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (63781.328 ms) ======
[2026-02-20T12:44:14.033Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T12:44:15.180Z] GC before operation: completed in 960.233 ms, heap usage 825.565 MB -> 92.715 MB.
[2026-02-20T12:44:25.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:44:34.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:44:43.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:44:50.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:44:56.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:45:01.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:45:07.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:45:11.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:45:12.473Z] 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.
[2026-02-20T12:45:12.473Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:45:13.159Z] Top recommended movies for user id 72:
[2026-02-20T12:45:13.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:45:13.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:45:13.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:45:13.159Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:45:13.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:45:13.159Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58117.022 ms) ======
[2026-02-20T12:45:13.159Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T12:45:14.306Z] GC before operation: completed in 930.858 ms, heap usage 508.746 MB -> 89.638 MB.
[2026-02-20T12:45:23.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:45:30.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:45:39.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:45:47.983Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:45:52.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:45:57.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:46:03.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:46:07.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:46:08.179Z] 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.
[2026-02-20T12:46:08.179Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:46:09.308Z] Top recommended movies for user id 72:
[2026-02-20T12:46:09.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:46:09.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:46:09.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:46:09.308Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:46:09.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:46:09.308Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54883.823 ms) ======
[2026-02-20T12:46:09.308Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T12:46:10.019Z] GC before operation: completed in 880.566 ms, heap usage 179.397 MB -> 89.521 MB.
[2026-02-20T12:46:18.890Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:46:27.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:46:38.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:46:45.563Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:46:51.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:46:57.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:47:01.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:47:06.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:47:07.289Z] 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.
[2026-02-20T12:47:07.289Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:47:07.983Z] Top recommended movies for user id 72:
[2026-02-20T12:47:07.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:47:07.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:47:07.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:47:07.983Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:47:07.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:47:07.983Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58046.351 ms) ======
[2026-02-20T12:47:07.983Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T12:47:09.136Z] GC before operation: completed in 999.872 ms, heap usage 709.798 MB -> 94.244 MB.
[2026-02-20T12:47:17.942Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:47:26.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:47:33.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:47:41.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:47:45.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:47:50.539Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:47:56.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:48:00.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:48:01.191Z] 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.
[2026-02-20T12:48:01.191Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:48:01.878Z] Top recommended movies for user id 72:
[2026-02-20T12:48:01.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:48:01.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:48:01.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:48:01.878Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:48:01.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:48:01.878Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52869.636 ms) ======
[2026-02-20T12:48:01.878Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T12:48:02.588Z] GC before operation: completed in 753.264 ms, heap usage 299.162 MB -> 90.780 MB.
[2026-02-20T12:48:11.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:48:18.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:48:27.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:48:34.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:48:39.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:48:43.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:48:49.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:48:53.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:48:54.135Z] 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.
[2026-02-20T12:48:54.455Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:48:54.774Z] Top recommended movies for user id 72:
[2026-02-20T12:48:54.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:48:54.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:48:54.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:48:54.774Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:48:54.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:48:54.774Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52312.351 ms) ======
[2026-02-20T12:48:54.774Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T12:48:55.552Z] GC before operation: completed in 759.655 ms, heap usage 708.876 MB -> 94.439 MB.
[2026-02-20T12:49:04.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:49:11.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:49:20.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:49:27.616Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:49:31.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:49:36.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:49:41.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:49:46.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:49:46.890Z] 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.
[2026-02-20T12:49:47.255Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:49:47.573Z] Top recommended movies for user id 72:
[2026-02-20T12:49:47.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:49:47.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:49:47.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:49:47.573Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:49:47.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:49:47.573Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51981.723 ms) ======
[2026-02-20T12:49:47.573Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T12:49:48.284Z] GC before operation: completed in 716.467 ms, heap usage 533.518 MB -> 91.206 MB.
[2026-02-20T12:49:57.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:50:05.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:50:13.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:50:20.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:50:26.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:50:30.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:50:35.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:50:40.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:50:41.298Z] 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.
[2026-02-20T12:50:41.619Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:50:42.305Z] Top recommended movies for user id 72:
[2026-02-20T12:50:42.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:50:42.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:50:42.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:50:42.305Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:50:42.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:50:42.305Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53949.220 ms) ======
[2026-02-20T12:50:42.305Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T12:50:43.011Z] GC before operation: completed in 694.416 ms, heap usage 118.802 MB -> 90.647 MB.
[2026-02-20T12:50:51.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:51:00.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:51:07.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:51:16.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:51:20.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:51:24.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:51:30.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:51:35.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:51:36.019Z] 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.
[2026-02-20T12:51:36.019Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:51:36.714Z] Top recommended movies for user id 72:
[2026-02-20T12:51:36.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:51:36.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:51:36.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:51:36.714Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:51:36.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:51:36.714Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53603.664 ms) ======
[2026-02-20T12:51:36.714Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T12:51:37.445Z] GC before operation: completed in 685.044 ms, heap usage 143.330 MB -> 90.863 MB.
[2026-02-20T12:51:46.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:51:53.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:52:02.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:52:09.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:52:15.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:52:20.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:52:25.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:52:30.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:52:30.897Z] 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.
[2026-02-20T12:52:30.897Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:52:31.582Z] Top recommended movies for user id 72:
[2026-02-20T12:52:31.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:52:31.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:52:31.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:52:31.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:52:31.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:52:31.583Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54379.171 ms) ======
[2026-02-20T12:52:31.583Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T12:52:32.290Z] GC before operation: completed in 683.201 ms, heap usage 133.895 MB -> 90.594 MB.
[2026-02-20T12:52:41.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:52:49.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:52:57.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:53:04.236Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:53:10.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:53:14.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:53:19.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:53:24.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:53:25.765Z] 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.
[2026-02-20T12:53:25.765Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:53:26.467Z] Top recommended movies for user id 72:
[2026-02-20T12:53:26.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:53:26.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:53:26.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:53:26.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:53:26.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:53:26.467Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54042.571 ms) ======
[2026-02-20T12:53:26.467Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T12:53:27.172Z] GC before operation: completed in 666.295 ms, heap usage 126.619 MB -> 90.838 MB.
[2026-02-20T12:53:35.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:53:44.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:53:51.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:53:58.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:54:04.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:54:09.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:54:15.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:54:19.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:54:20.889Z] 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.
[2026-02-20T12:54:20.889Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:54:21.205Z] Top recommended movies for user id 72:
[2026-02-20T12:54:21.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:54:21.205Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:54:21.205Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:54:21.205Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:54:21.205Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:54:21.205Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54228.992 ms) ======
[2026-02-20T12:54:21.205Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T12:54:21.914Z] GC before operation: completed in 678.939 ms, heap usage 433.898 MB -> 91.307 MB.
[2026-02-20T12:54:30.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:54:37.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:54:46.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:54:53.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:54:59.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:55:03.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:55:08.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:55:12.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:55:13.060Z] 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.
[2026-02-20T12:55:13.060Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:55:13.750Z] Top recommended movies for user id 72:
[2026-02-20T12:55:13.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:55:13.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:55:13.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:55:13.750Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:55:13.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:55:13.750Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51696.826 ms) ======
[2026-02-20T12:55:13.750Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T12:55:14.455Z] GC before operation: completed in 736.119 ms, heap usage 819.083 MB -> 94.962 MB.
[2026-02-20T12:55:23.212Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:55:30.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:55:39.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:55:46.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:55:51.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:55:56.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:56:01.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:56:06.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:56:06.497Z] 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.
[2026-02-20T12:56:06.826Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:56:07.509Z] Top recommended movies for user id 72:
[2026-02-20T12:56:07.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:56:07.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:56:07.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:56:07.509Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:56:07.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:56:07.509Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53110.593 ms) ======
[2026-02-20T12:56:07.509Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T12:56:08.263Z] GC before operation: completed in 684.338 ms, heap usage 186.153 MB -> 91.179 MB.
[2026-02-20T12:56:17.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:56:24.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:56:32.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:56:40.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:56:44.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:56:49.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:56:55.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:57:00.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:57:00.699Z] 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.
[2026-02-20T12:57:01.017Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:57:01.719Z] Top recommended movies for user id 72:
[2026-02-20T12:57:01.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:57:01.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:57:01.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:57:01.719Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:57:01.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:57:01.719Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53407.958 ms) ======
[2026-02-20T12:57:01.719Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T12:57:02.450Z] GC before operation: completed in 704.703 ms, heap usage 382.057 MB -> 91.212 MB.
[2026-02-20T12:57:11.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:57:18.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:57:27.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:57:34.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:57:38.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:57:43.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:57:48.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:57:53.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:57:54.458Z] 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.
[2026-02-20T12:57:54.458Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:57:55.167Z] Top recommended movies for user id 72:
[2026-02-20T12:57:55.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:57:55.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:57:55.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:57:55.167Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:57:55.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:57:55.167Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52716.938 ms) ======
[2026-02-20T12:57:55.167Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T12:57:55.871Z] GC before operation: completed in 684.846 ms, heap usage 137.058 MB -> 90.944 MB.
[2026-02-20T12:58:04.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:58:11.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:58:20.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:58:27.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:58:33.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:58:38.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:58:43.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:58:47.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:58:48.838Z] 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.
[2026-02-20T12:58:48.838Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:58:49.528Z] Top recommended movies for user id 72:
[2026-02-20T12:58:49.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:58:49.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:58:49.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:58:49.528Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:58:49.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:58:49.528Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53708.946 ms) ======
[2026-02-20T12:58:49.528Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T12:58:50.213Z] GC before operation: completed in 718.535 ms, heap usage 386.256 MB -> 91.137 MB.
[2026-02-20T12:58:59.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:59:06.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T12:59:13.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T12:59:20.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T12:59:24.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T12:59:29.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T12:59:33.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T12:59:38.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T12:59:38.369Z] 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.
[2026-02-20T12:59:38.689Z] The best model improves the baseline by 14.52%.
[2026-02-20T12:59:39.394Z] Top recommended movies for user id 72:
[2026-02-20T12:59:39.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T12:59:39.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T12:59:39.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T12:59:39.394Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T12:59:39.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T12:59:39.394Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49051.653 ms) ======
[2026-02-20T12:59:39.394Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T12:59:40.087Z] GC before operation: completed in 701.129 ms, heap usage 269.592 MB -> 91.115 MB.
[2026-02-20T12:59:48.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T12:59:54.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T13:00:03.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T13:00:09.393Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T13:00:14.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T13:00:17.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T13:00:22.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T13:00:27.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T13:00:28.050Z] 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.
[2026-02-20T13:00:28.050Z] The best model improves the baseline by 14.52%.
[2026-02-20T13:00:28.739Z] Top recommended movies for user id 72:
[2026-02-20T13:00:28.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T13:00:28.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T13:00:28.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T13:00:28.739Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T13:00:28.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T13:00:28.739Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48722.984 ms) ======
[2026-02-20T13:00:32.465Z] -----------------------------------
[2026-02-20T13:00:32.465Z] renaissance-movie-lens_0_PASSED
[2026-02-20T13:00:32.465Z] -----------------------------------
[2026-02-20T13:00:32.465Z]
[2026-02-20T13:00:32.465Z] TEST TEARDOWN:
[2026-02-20T13:00:32.465Z] Nothing to be done for teardown.
[2026-02-20T13:00:32.465Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 13:00:31 2026 Epoch Time (ms): 1771592431807