renaissance-movie-lens_0
[2026-04-02T21:46:27.247Z] Running test renaissance-movie-lens_0 ...
[2026-04-02T21:46:27.247Z] ===============================================
[2026-04-02T21:46:27.247Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 21:46:26 2026 Epoch Time (ms): 1775166386347
[2026-04-02T21:46:27.247Z] variation: NoOptions
[2026-04-02T21:46:27.247Z] JVM_OPTIONS:
[2026-04-02T21:46:27.247Z] { \
[2026-04-02T21:46:27.247Z] echo ""; echo "TEST SETUP:"; \
[2026-04-02T21:46:27.248Z] echo "Nothing to be done for setup."; \
[2026-04-02T21:46:27.248Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17751653562622/renaissance-movie-lens_0"; \
[2026-04-02T21:46:27.248Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17751653562622/renaissance-movie-lens_0"; \
[2026-04-02T21:46:27.248Z] echo ""; echo "TESTING:"; \
[2026-04-02T21:46:27.248Z] "/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_17751653562622/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-02T21:46:27.248Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17751653562622/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-02T21:46:27.248Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-02T21:46:27.248Z] echo "Nothing to be done for teardown."; \
[2026-04-02T21:46:27.248Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17751653562622/TestTargetResult";
[2026-04-02T21:46:27.248Z]
[2026-04-02T21:46:27.248Z] TEST SETUP:
[2026-04-02T21:46:27.248Z] Nothing to be done for setup.
[2026-04-02T21:46:27.248Z]
[2026-04-02T21:46:27.248Z] TESTING:
[2026-04-02T21:46:28.198Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-02T21:46:28.198Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17751653562622/renaissance-movie-lens_0/launcher-214627-13764641570634577773/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-02T21:46:28.198Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-02T21:46:28.198Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-02T21:48:37.328Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-02T21:48:44.284Z] 21:48:43.529 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-02T21:48:48.102Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-02T21:48:49.068Z] Training: 60056, validation: 20285, test: 19854
[2026-04-02T21:48:49.068Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-02T21:48:49.068Z] GC before operation: completed in 151.919 ms, heap usage 211.040 MB -> 75.710 MB.
[2026-04-02T21:49:01.000Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:49:07.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:49:13.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:49:17.378Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:49:20.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:49:22.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:49:24.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:49:26.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:49:26.497Z] 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.
[2026-04-02T21:49:26.497Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:49:27.456Z] Top recommended movies for user id 72:
[2026-04-02T21:49:27.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:49:27.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:49:27.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:49:27.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:49:27.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:49:27.456Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38188.217 ms) ======
[2026-04-02T21:49:27.456Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-02T21:49:27.456Z] GC before operation: completed in 146.254 ms, heap usage 185.301 MB -> 89.915 MB.
[2026-04-02T21:49:30.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:49:34.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:49:37.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:49:41.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:49:43.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:49:45.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:49:47.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:49:49.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:49:49.860Z] 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.
[2026-04-02T21:49:49.860Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:49:49.860Z] Top recommended movies for user id 72:
[2026-04-02T21:49:49.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:49:49.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:49:49.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:49:49.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:49:49.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:49:49.860Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23059.894 ms) ======
[2026-04-02T21:49:49.860Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-02T21:49:51.528Z] GC before operation: completed in 141.745 ms, heap usage 297.406 MB -> 88.617 MB.
[2026-04-02T21:49:53.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:49:57.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:50:00.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:50:03.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:50:05.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:50:07.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:50:09.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:50:10.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:50:11.492Z] 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.
[2026-04-02T21:50:11.492Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:50:11.492Z] Top recommended movies for user id 72:
[2026-04-02T21:50:11.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:50:11.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:50:11.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:50:11.492Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:50:11.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:50:11.492Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21025.456 ms) ======
[2026-04-02T21:50:11.492Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-02T21:50:11.492Z] GC before operation: completed in 167.179 ms, heap usage 451.600 MB -> 89.420 MB.
[2026-04-02T21:50:14.513Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:50:17.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:50:20.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:50:22.548Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:50:25.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:50:27.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:50:29.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:50:31.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:50:31.504Z] 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.
[2026-04-02T21:50:31.504Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:50:31.504Z] Top recommended movies for user id 72:
[2026-04-02T21:50:31.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:50:31.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:50:31.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:50:31.504Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:50:31.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:50:31.504Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19957.723 ms) ======
[2026-04-02T21:50:31.504Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-02T21:50:31.504Z] GC before operation: completed in 147.624 ms, heap usage 146.388 MB -> 89.241 MB.
[2026-04-02T21:50:34.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:50:37.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:50:40.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:50:43.630Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:50:44.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:50:47.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:50:48.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:50:50.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:50:50.054Z] 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.
[2026-04-02T21:50:50.054Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:50:51.003Z] Top recommended movies for user id 72:
[2026-04-02T21:50:51.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:50:51.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:50:51.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:50:51.003Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:50:51.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:50:51.003Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18999.895 ms) ======
[2026-04-02T21:50:51.003Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-02T21:50:51.003Z] GC before operation: completed in 166.719 ms, heap usage 285.407 MB -> 89.484 MB.
[2026-04-02T21:50:54.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:50:57.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:51:00.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:51:02.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:51:03.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:51:05.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:51:06.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:51:08.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:51:08.843Z] 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.
[2026-04-02T21:51:08.843Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:51:09.792Z] Top recommended movies for user id 72:
[2026-04-02T21:51:09.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:51:09.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:51:09.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:51:09.792Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:51:09.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:51:09.792Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18527.296 ms) ======
[2026-04-02T21:51:09.792Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-02T21:51:09.792Z] GC before operation: completed in 174.418 ms, heap usage 290.175 MB -> 89.944 MB.
[2026-04-02T21:51:12.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:51:14.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:51:17.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:51:20.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:51:22.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:51:24.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:51:25.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:51:28.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:51:28.573Z] 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.
[2026-04-02T21:51:28.573Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:51:28.573Z] Top recommended movies for user id 72:
[2026-04-02T21:51:28.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:51:28.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:51:28.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:51:28.573Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:51:28.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:51:28.573Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18617.982 ms) ======
[2026-04-02T21:51:28.573Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-02T21:51:28.573Z] GC before operation: completed in 152.697 ms, heap usage 306.340 MB -> 89.796 MB.
[2026-04-02T21:51:31.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:51:34.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:51:38.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:51:41.099Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:51:43.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:51:45.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:51:47.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:51:48.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:51:49.319Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T21:51:49.319Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:51:49.319Z] Top recommended movies for user id 72:
[2026-04-02T21:51:49.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:51:49.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:51:49.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:51:49.319Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:51:49.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:51:49.319Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20950.983 ms) ======
[2026-04-02T21:51:49.319Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-02T21:51:49.319Z] GC before operation: completed in 147.461 ms, heap usage 445.986 MB -> 90.256 MB.
[2026-04-02T21:51:52.501Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:51:55.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:51:58.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:52:01.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:52:03.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:52:04.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:52:07.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:52:09.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:52:09.296Z] 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.
[2026-04-02T21:52:09.296Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:52:10.254Z] Top recommended movies for user id 72:
[2026-04-02T21:52:10.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:52:10.254Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:52:10.254Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:52:10.254Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:52:10.254Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:52:10.254Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20536.572 ms) ======
[2026-04-02T21:52:10.254Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-02T21:52:10.254Z] GC before operation: completed in 168.005 ms, heap usage 133.703 MB -> 89.801 MB.
[2026-04-02T21:52:13.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:52:16.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:52:20.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:52:23.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:52:25.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:52:28.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:52:30.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:52:31.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:52:32.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T21:52:32.816Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:52:32.816Z] Top recommended movies for user id 72:
[2026-04-02T21:52:32.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:52:32.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:52:32.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:52:32.816Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:52:32.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:52:32.816Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22652.307 ms) ======
[2026-04-02T21:52:32.816Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-02T21:52:32.816Z] GC before operation: completed in 166.308 ms, heap usage 230.445 MB -> 89.946 MB.
[2026-04-02T21:52:35.931Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:52:39.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:52:42.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:52:45.256Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:52:47.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:52:49.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:52:52.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:52:54.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:52:54.624Z] 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.
[2026-04-02T21:52:54.624Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:52:55.582Z] Top recommended movies for user id 72:
[2026-04-02T21:52:55.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:52:55.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:52:55.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:52:55.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:52:55.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:52:55.582Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22213.302 ms) ======
[2026-04-02T21:52:55.582Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-02T21:52:55.582Z] GC before operation: completed in 181.199 ms, heap usage 150.754 MB -> 89.577 MB.
[2026-04-02T21:52:59.912Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:53:04.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:53:06.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:53:10.736Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:53:11.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:53:13.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:53:15.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:53:18.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:53:18.279Z] 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.
[2026-04-02T21:53:18.279Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:53:18.279Z] Top recommended movies for user id 72:
[2026-04-02T21:53:18.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:53:18.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:53:18.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:53:18.279Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:53:18.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:53:18.279Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22243.032 ms) ======
[2026-04-02T21:53:18.279Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-02T21:53:18.279Z] GC before operation: completed in 147.860 ms, heap usage 519.893 MB -> 90.339 MB.
[2026-04-02T21:53:21.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:53:24.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:53:28.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:53:32.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:53:34.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:53:36.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:53:38.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:53:40.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:53:40.346Z] 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.
[2026-04-02T21:53:40.346Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:53:40.346Z] Top recommended movies for user id 72:
[2026-04-02T21:53:40.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:53:40.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:53:40.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:53:40.346Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:53:40.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:53:40.346Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22598.426 ms) ======
[2026-04-02T21:53:40.346Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-02T21:53:40.346Z] GC before operation: completed in 159.217 ms, heap usage 130.955 MB -> 91.840 MB.
[2026-04-02T21:53:43.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:53:46.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:53:49.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:53:51.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:53:54.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:53:55.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:53:56.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:53:57.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:53:57.956Z] 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.
[2026-04-02T21:53:57.956Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:53:58.913Z] Top recommended movies for user id 72:
[2026-04-02T21:53:58.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:53:58.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:53:58.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:53:58.913Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:53:58.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:53:58.913Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18048.148 ms) ======
[2026-04-02T21:53:58.913Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-02T21:53:58.913Z] GC before operation: completed in 155.965 ms, heap usage 367.910 MB -> 90.118 MB.
[2026-04-02T21:54:01.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:54:03.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:54:06.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:54:09.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:54:12.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:54:14.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:54:16.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:54:19.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:54:19.661Z] 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.
[2026-04-02T21:54:19.661Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:54:19.661Z] Top recommended movies for user id 72:
[2026-04-02T21:54:19.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:54:19.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:54:19.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:54:19.661Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:54:19.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:54:19.661Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20830.732 ms) ======
[2026-04-02T21:54:19.661Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-02T21:54:19.661Z] GC before operation: completed in 245.781 ms, heap usage 94.820 MB -> 90.306 MB.
[2026-04-02T21:54:23.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:54:27.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:54:31.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:54:34.426Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:54:36.401Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:54:38.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:54:40.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:54:42.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:54:43.339Z] 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.
[2026-04-02T21:54:43.339Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:54:43.339Z] Top recommended movies for user id 72:
[2026-04-02T21:54:43.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:54:43.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:54:43.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:54:43.339Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:54:43.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:54:43.339Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23489.665 ms) ======
[2026-04-02T21:54:43.339Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-02T21:54:43.339Z] GC before operation: completed in 239.543 ms, heap usage 136.054 MB -> 89.794 MB.
[2026-04-02T21:54:47.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:54:50.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:54:53.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:54:57.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:54:58.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:55:00.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:55:02.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:55:04.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:55:04.464Z] 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.
[2026-04-02T21:55:04.464Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:55:05.423Z] Top recommended movies for user id 72:
[2026-04-02T21:55:05.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:55:05.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:55:05.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:55:05.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:55:05.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:55:05.423Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21549.547 ms) ======
[2026-04-02T21:55:05.423Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-02T21:55:05.423Z] GC before operation: completed in 153.610 ms, heap usage 154.368 MB -> 89.991 MB.
[2026-04-02T21:55:08.451Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:55:11.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:55:14.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:55:17.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:55:19.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:55:21.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:55:23.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:55:25.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:55:25.473Z] 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.
[2026-04-02T21:55:25.473Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:55:25.473Z] Top recommended movies for user id 72:
[2026-04-02T21:55:25.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:55:25.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:55:25.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:55:25.473Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:55:25.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:55:25.473Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20606.331 ms) ======
[2026-04-02T21:55:25.473Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-02T21:55:26.433Z] GC before operation: completed in 178.732 ms, heap usage 307.937 MB -> 90.050 MB.
[2026-04-02T21:55:29.464Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:55:32.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:55:36.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:55:39.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:55:41.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:55:43.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:55:45.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:55:47.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:55:47.569Z] 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.
[2026-04-02T21:55:47.569Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:55:47.569Z] Top recommended movies for user id 72:
[2026-04-02T21:55:47.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:55:47.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:55:47.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:55:47.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:55:47.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:55:47.569Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21612.476 ms) ======
[2026-04-02T21:55:47.569Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-02T21:55:47.569Z] GC before operation: completed in 179.186 ms, heap usage 164.026 MB -> 90.010 MB.
[2026-04-02T21:55:50.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T21:55:54.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T21:55:57.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T21:56:00.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T21:56:01.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T21:56:04.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T21:56:05.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T21:56:07.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T21:56:08.841Z] 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.
[2026-04-02T21:56:08.841Z] The best model improves the baseline by 14.52%.
[2026-04-02T21:56:08.841Z] Top recommended movies for user id 72:
[2026-04-02T21:56:08.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T21:56:08.841Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T21:56:08.841Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T21:56:08.841Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T21:56:08.841Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T21:56:08.841Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21023.836 ms) ======
[2026-04-02T21:56:10.803Z] -----------------------------------
[2026-04-02T21:56:10.803Z] renaissance-movie-lens_0_PASSED
[2026-04-02T21:56:10.803Z] -----------------------------------
[2026-04-02T21:56:10.803Z]
[2026-04-02T21:56:10.803Z] TEST TEARDOWN:
[2026-04-02T21:56:10.803Z] Nothing to be done for teardown.
[2026-04-02T21:56:10.803Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 21:56:09 2026 Epoch Time (ms): 1775166969868