renaissance-movie-lens_0
[2026-02-19T23:06:13.231Z] Running test renaissance-movie-lens_0 ...
[2026-02-19T23:06:13.231Z] ===============================================
[2026-02-19T23:06:13.231Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 23:06:12 2026 Epoch Time (ms): 1771542372779
[2026-02-19T23:06:13.231Z] variation: NoOptions
[2026-02-19T23:06:13.231Z] JVM_OPTIONS:
[2026-02-19T23:06:13.231Z] { \
[2026-02-19T23:06:13.231Z] echo ""; echo "TEST SETUP:"; \
[2026-02-19T23:06:13.231Z] echo "Nothing to be done for setup."; \
[2026-02-19T23:06:13.231Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715413314837/renaissance-movie-lens_0"; \
[2026-02-19T23:06:13.231Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715413314837/renaissance-movie-lens_0"; \
[2026-02-19T23:06:13.231Z] echo ""; echo "TESTING:"; \
[2026-02-19T23:06:13.231Z] "/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_17715413314837/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-19T23:06:13.231Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715413314837/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-19T23:06:13.231Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-19T23:06:13.231Z] echo "Nothing to be done for teardown."; \
[2026-02-19T23:06:13.231Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17715413314837/TestTargetResult";
[2026-02-19T23:06:13.231Z]
[2026-02-19T23:06:13.231Z] TEST SETUP:
[2026-02-19T23:06:13.231Z] Nothing to be done for setup.
[2026-02-19T23:06:13.231Z]
[2026-02-19T23:06:13.231Z] TESTING:
[2026-02-19T23:06:14.287Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-19T23:06:14.287Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17715413314837/renaissance-movie-lens_0/launcher-230612-10029627609463293951/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-19T23:06:14.287Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-19T23:06:14.287Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-19T23:06:21.092Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-19T23:06:29.502Z] 23:06:28.885 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.
[2026-02-19T23:06:31.588Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-19T23:06:32.550Z] Training: 60056, validation: 20285, test: 19854
[2026-02-19T23:06:32.550Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-19T23:06:32.550Z] GC before operation: completed in 141.241 ms, heap usage 272.022 MB -> 75.662 MB.
[2026-02-19T23:06:40.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:06:44.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:06:48.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:06:53.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:06:56.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:06:59.866Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:07:01.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:07:05.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:07:05.290Z] 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.
[2026-02-19T23:07:05.290Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:07:05.290Z] Top recommended movies for user id 72:
[2026-02-19T23:07:05.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:07:05.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:07:05.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:07:05.290Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:07:05.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:07:05.290Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33354.151 ms) ======
[2026-02-19T23:07:05.290Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-19T23:07:06.246Z] GC before operation: completed in 189.934 ms, heap usage 194.031 MB -> 86.165 MB.
[2026-02-19T23:07:09.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:07:13.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:07:15.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:07:18.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:07:20.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:07:22.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:07:24.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:07:26.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:07:26.487Z] 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.
[2026-02-19T23:07:26.487Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:07:26.487Z] Top recommended movies for user id 72:
[2026-02-19T23:07:26.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:07:26.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:07:26.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:07:26.487Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:07:26.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:07:26.487Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20773.429 ms) ======
[2026-02-19T23:07:26.487Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-19T23:07:26.487Z] GC before operation: completed in 179.996 ms, heap usage 170.992 MB -> 88.346 MB.
[2026-02-19T23:07:29.614Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:07:32.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:07:35.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:07:39.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:07:40.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:07:42.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:07:43.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:07:45.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:07:45.519Z] 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.
[2026-02-19T23:07:45.519Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:07:45.519Z] Top recommended movies for user id 72:
[2026-02-19T23:07:45.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:07:45.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:07:45.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:07:45.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:07:45.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:07:45.519Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19125.888 ms) ======
[2026-02-19T23:07:45.519Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-19T23:07:46.477Z] GC before operation: completed in 187.152 ms, heap usage 234.312 MB -> 88.979 MB.
[2026-02-19T23:07:49.508Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:07:51.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:07:54.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:07:58.999Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:07:59.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:08:01.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:08:04.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:08:04.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:08:04.976Z] 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.
[2026-02-19T23:08:04.976Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:08:05.933Z] Top recommended movies for user id 72:
[2026-02-19T23:08:05.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:08:05.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:08:05.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:08:05.933Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:08:05.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:08:05.933Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19521.073 ms) ======
[2026-02-19T23:08:05.933Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-19T23:08:05.933Z] GC before operation: completed in 186.900 ms, heap usage 190.166 MB -> 89.220 MB.
[2026-02-19T23:08:09.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:08:12.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:08:15.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:08:18.194Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:08:20.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:08:22.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:08:24.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:08:25.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:08:25.105Z] 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.
[2026-02-19T23:08:25.105Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:08:26.066Z] Top recommended movies for user id 72:
[2026-02-19T23:08:26.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:08:26.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:08:26.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:08:26.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:08:26.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:08:26.066Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19989.847 ms) ======
[2026-02-19T23:08:26.066Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-19T23:08:26.066Z] GC before operation: completed in 194.754 ms, heap usage 161.254 MB -> 89.794 MB.
[2026-02-19T23:08:29.104Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:08:32.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:08:34.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:08:37.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:08:38.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:08:40.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:08:42.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:08:43.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:08:44.551Z] 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.
[2026-02-19T23:08:44.551Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:08:44.551Z] Top recommended movies for user id 72:
[2026-02-19T23:08:44.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:08:44.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:08:44.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:08:44.551Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:08:44.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:08:44.551Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18703.276 ms) ======
[2026-02-19T23:08:44.551Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-19T23:08:44.551Z] GC before operation: completed in 153.768 ms, heap usage 94.263 MB -> 89.823 MB.
[2026-02-19T23:08:47.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:08:50.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:08:53.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:08:55.920Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:08:57.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:08:59.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:09:01.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:09:02.806Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:09:02.806Z] 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.
[2026-02-19T23:09:02.806Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:09:03.762Z] Top recommended movies for user id 72:
[2026-02-19T23:09:03.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:09:03.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:09:03.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:09:03.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:09:03.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:09:03.762Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18526.181 ms) ======
[2026-02-19T23:09:03.762Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-19T23:09:03.762Z] GC before operation: completed in 167.873 ms, heap usage 404.087 MB -> 89.790 MB.
[2026-02-19T23:09:05.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:09:08.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:09:11.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:09:14.846Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:09:15.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:09:17.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:09:19.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:09:21.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:09:21.796Z] 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.
[2026-02-19T23:09:21.796Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:09:21.796Z] Top recommended movies for user id 72:
[2026-02-19T23:09:21.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:09:21.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:09:21.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:09:21.797Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:09:21.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:09:21.797Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18326.547 ms) ======
[2026-02-19T23:09:21.797Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-19T23:09:21.797Z] GC before operation: completed in 203.974 ms, heap usage 302.181 MB -> 89.908 MB.
[2026-02-19T23:09:24.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:09:27.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:09:29.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:09:32.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:09:33.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:09:35.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:09:36.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:09:38.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:09:38.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-19T23:09:38.463Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:09:38.463Z] Top recommended movies for user id 72:
[2026-02-19T23:09:38.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:09:38.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:09:38.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:09:38.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:09:38.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:09:38.463Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16553.915 ms) ======
[2026-02-19T23:09:38.463Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-19T23:09:38.463Z] GC before operation: completed in 181.282 ms, heap usage 173.294 MB -> 89.624 MB.
[2026-02-19T23:09:41.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:09:44.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:09:47.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:09:50.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:09:51.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:09:53.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:09:55.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:09:56.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:09:57.406Z] 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.
[2026-02-19T23:09:57.406Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:09:57.406Z] Top recommended movies for user id 72:
[2026-02-19T23:09:57.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:09:57.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:09:57.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:09:57.406Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:09:57.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:09:57.406Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18394.117 ms) ======
[2026-02-19T23:09:57.406Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-19T23:09:57.406Z] GC before operation: completed in 140.836 ms, heap usage 290.890 MB -> 89.959 MB.
[2026-02-19T23:10:00.440Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:10:03.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:10:05.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:10:08.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:10:10.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:10:11.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:10:13.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:10:15.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:10:15.359Z] 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.
[2026-02-19T23:10:15.359Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:10:15.359Z] Top recommended movies for user id 72:
[2026-02-19T23:10:15.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:10:15.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:10:15.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:10:15.359Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:10:15.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:10:15.360Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18176.783 ms) ======
[2026-02-19T23:10:15.360Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-19T23:10:15.360Z] GC before operation: completed in 149.269 ms, heap usage 425.014 MB -> 89.859 MB.
[2026-02-19T23:10:18.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:10:21.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:10:24.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:10:26.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:10:28.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:10:29.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:10:30.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:10:32.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:10:32.964Z] 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.
[2026-02-19T23:10:32.964Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:10:32.964Z] Top recommended movies for user id 72:
[2026-02-19T23:10:32.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:10:32.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:10:32.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:10:32.964Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:10:32.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:10:32.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17480.905 ms) ======
[2026-02-19T23:10:32.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-19T23:10:32.964Z] GC before operation: completed in 176.964 ms, heap usage 511.500 MB -> 90.286 MB.
[2026-02-19T23:10:35.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:10:39.041Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:10:42.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:10:44.039Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:10:46.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:10:47.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:10:48.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:10:51.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:10:51.018Z] 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.
[2026-02-19T23:10:51.018Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:10:51.018Z] Top recommended movies for user id 72:
[2026-02-19T23:10:51.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:10:51.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:10:51.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:10:51.018Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:10:51.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:10:51.018Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18076.053 ms) ======
[2026-02-19T23:10:51.018Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-19T23:10:51.981Z] GC before operation: completed in 162.182 ms, heap usage 427.937 MB -> 90.282 MB.
[2026-02-19T23:10:53.952Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:10:56.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:10:58.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:11:01.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:11:02.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:11:04.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:11:06.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:11:07.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:11:07.837Z] 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.
[2026-02-19T23:11:07.837Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:11:07.837Z] Top recommended movies for user id 72:
[2026-02-19T23:11:07.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:11:07.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:11:07.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:11:07.837Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:11:07.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:11:07.837Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16750.031 ms) ======
[2026-02-19T23:11:07.837Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-19T23:11:08.799Z] GC before operation: completed in 160.909 ms, heap usage 426.340 MB -> 90.072 MB.
[2026-02-19T23:11:10.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:11:13.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:11:15.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:11:19.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:11:20.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:11:21.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:11:23.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:11:24.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:11:25.199Z] 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.
[2026-02-19T23:11:25.199Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:11:25.199Z] Top recommended movies for user id 72:
[2026-02-19T23:11:25.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:11:25.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:11:25.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:11:25.199Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:11:25.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:11:25.199Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16469.280 ms) ======
[2026-02-19T23:11:25.199Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-19T23:11:25.199Z] GC before operation: completed in 154.404 ms, heap usage 132.184 MB -> 90.711 MB.
[2026-02-19T23:11:28.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:11:30.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:11:32.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:11:35.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:11:36.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:11:37.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:11:39.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:11:40.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:11:41.005Z] 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.
[2026-02-19T23:11:41.005Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:11:41.005Z] Top recommended movies for user id 72:
[2026-02-19T23:11:41.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:11:41.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:11:41.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:11:41.005Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:11:41.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:11:41.005Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15660.529 ms) ======
[2026-02-19T23:11:41.005Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-19T23:11:41.005Z] GC before operation: completed in 143.513 ms, heap usage 189.339 MB -> 89.854 MB.
[2026-02-19T23:11:42.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:11:44.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:11:47.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:11:50.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:11:52.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:11:53.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:11:55.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:11:56.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:11:56.271Z] 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.
[2026-02-19T23:11:56.271Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:11:56.271Z] Top recommended movies for user id 72:
[2026-02-19T23:11:56.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:11:56.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:11:56.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:11:56.271Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:11:56.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:11:56.271Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15821.372 ms) ======
[2026-02-19T23:11:56.271Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-19T23:11:57.227Z] GC before operation: completed in 147.466 ms, heap usage 127.967 MB -> 92.222 MB.
[2026-02-19T23:11:59.192Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:12:02.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:12:04.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:12:06.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:12:08.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:12:09.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:12:11.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:12:13.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:12:13.029Z] 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.
[2026-02-19T23:12:13.029Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:12:13.029Z] Top recommended movies for user id 72:
[2026-02-19T23:12:13.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:12:13.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:12:13.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:12:13.029Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:12:13.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:12:13.029Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15646.027 ms) ======
[2026-02-19T23:12:13.029Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-19T23:12:13.029Z] GC before operation: completed in 142.440 ms, heap usage 199.207 MB -> 89.735 MB.
[2026-02-19T23:12:16.345Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:12:18.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:12:20.451Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:12:22.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:12:24.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:12:25.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:12:27.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:12:28.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:12:29.814Z] 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.
[2026-02-19T23:12:29.814Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:12:29.814Z] Top recommended movies for user id 72:
[2026-02-19T23:12:29.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:12:29.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:12:29.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:12:29.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:12:29.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:12:29.814Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16656.759 ms) ======
[2026-02-19T23:12:29.814Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-19T23:12:29.814Z] GC before operation: completed in 169.270 ms, heap usage 423.531 MB -> 90.185 MB.
[2026-02-19T23:12:33.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T23:12:36.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T23:12:38.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T23:12:41.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T23:12:42.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T23:12:45.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T23:12:48.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T23:12:49.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T23:12:50.190Z] 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.
[2026-02-19T23:12:50.190Z] The best model improves the baseline by 14.52%.
[2026-02-19T23:12:50.190Z] Top recommended movies for user id 72:
[2026-02-19T23:12:50.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T23:12:50.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T23:12:50.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T23:12:50.190Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T23:12:50.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T23:12:50.190Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20629.317 ms) ======
[2026-02-19T23:12:51.150Z] -----------------------------------
[2026-02-19T23:12:51.150Z] renaissance-movie-lens_0_PASSED
[2026-02-19T23:12:51.150Z] -----------------------------------
[2026-02-19T23:12:51.150Z]
[2026-02-19T23:12:51.150Z] TEST TEARDOWN:
[2026-02-19T23:12:51.150Z] Nothing to be done for teardown.
[2026-02-19T23:12:51.150Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 23:12:50 2026 Epoch Time (ms): 1771542770591