renaissance-movie-lens_0
[2026-03-06T03:11:55.295Z] Running test renaissance-movie-lens_0 ...
[2026-03-06T03:11:55.295Z] ===============================================
[2026-03-06T03:11:56.035Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 03:11:55 2026 Epoch Time (ms): 1772766715248
[2026-03-06T03:11:56.035Z] variation: NoOptions
[2026-03-06T03:11:56.035Z] JVM_OPTIONS:
[2026-03-06T03:11:56.035Z] { \
[2026-03-06T03:11:56.035Z] echo ""; echo "TEST SETUP:"; \
[2026-03-06T03:11:56.035Z] echo "Nothing to be done for setup."; \
[2026-03-06T03:11:56.035Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727653036924/renaissance-movie-lens_0"; \
[2026-03-06T03:11:56.035Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727653036924/renaissance-movie-lens_0"; \
[2026-03-06T03:11:56.035Z] echo ""; echo "TESTING:"; \
[2026-03-06T03:11:56.035Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727653036924/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-06T03:11:56.035Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727653036924/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-06T03:11:56.035Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-06T03:11:56.035Z] echo "Nothing to be done for teardown."; \
[2026-03-06T03:11:56.035Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727653036924/TestTargetResult";
[2026-03-06T03:11:56.035Z]
[2026-03-06T03:11:56.035Z] TEST SETUP:
[2026-03-06T03:11:56.035Z] Nothing to be done for setup.
[2026-03-06T03:11:56.035Z]
[2026-03-06T03:11:56.035Z] TESTING:
[2026-03-06T03:11:56.772Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-06T03:11:56.772Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17727653036924/renaissance-movie-lens_0/launcher-031155-10563826807085608106/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-06T03:11:56.772Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-06T03:11:56.772Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-06T03:12:04.941Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-06T03:12:18.899Z] 03:12:18.527 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-06T03:12:23.330Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-06T03:12:24.884Z] Training: 60056, validation: 20285, test: 19854
[2026-03-06T03:12:24.884Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-06T03:12:24.884Z] GC before operation: completed in 269.064 ms, heap usage 199.244 MB -> 75.819 MB.
[2026-03-06T03:12:38.620Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:12:46.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:12:54.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:13:01.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:13:05.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:13:09.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:13:13.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:13:16.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:13:16.564Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:13:17.309Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:13:17.309Z] Top recommended movies for user id 72:
[2026-03-06T03:13:17.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:13:17.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:13:17.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:13:17.309Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:13:17.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:13:17.309Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (52435.354 ms) ======
[2026-03-06T03:13:17.309Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-06T03:13:18.055Z] GC before operation: completed in 326.361 ms, heap usage 268.754 MB -> 92.553 MB.
[2026-03-06T03:13:24.764Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:13:30.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:13:35.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:13:42.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:13:45.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:13:47.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:13:51.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:13:54.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:13:54.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:13:54.582Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:13:55.333Z] Top recommended movies for user id 72:
[2026-03-06T03:13:55.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:13:55.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:13:55.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:13:55.333Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:13:55.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:13:55.333Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (37449.887 ms) ======
[2026-03-06T03:13:55.333Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-06T03:13:55.333Z] GC before operation: completed in 314.831 ms, heap usage 447.783 MB -> 88.672 MB.
[2026-03-06T03:14:03.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:14:08.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:14:14.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:14:18.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:14:21.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:14:24.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:14:27.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:14:30.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:14:30.814Z] 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.
[2026-03-06T03:14:30.814Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:14:31.560Z] Top recommended movies for user id 72:
[2026-03-06T03:14:31.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:14:31.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:14:31.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:14:31.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:14:31.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:14:31.561Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (35777.847 ms) ======
[2026-03-06T03:14:31.561Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-06T03:14:31.561Z] GC before operation: completed in 232.752 ms, heap usage 640.537 MB -> 92.780 MB.
[2026-03-06T03:14:36.404Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:14:41.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:14:47.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:14:52.787Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:14:55.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:14:58.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:15:01.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:15:05.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:15:06.006Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:15:06.006Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:15:06.006Z] Top recommended movies for user id 72:
[2026-03-06T03:15:06.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:15:06.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:15:06.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:15:06.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:15:06.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:15:06.006Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34643.398 ms) ======
[2026-03-06T03:15:06.006Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-06T03:15:06.754Z] GC before operation: completed in 299.669 ms, heap usage 438.850 MB -> 89.671 MB.
[2026-03-06T03:15:11.071Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:15:16.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:15:21.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:15:25.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:15:28.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:15:31.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:15:33.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:15:37.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:15:37.344Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:15:37.344Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:15:38.107Z] Top recommended movies for user id 72:
[2026-03-06T03:15:38.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:15:38.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:15:38.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:15:38.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:15:38.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:15:38.107Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31469.790 ms) ======
[2026-03-06T03:15:38.107Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-06T03:15:38.107Z] GC before operation: completed in 293.438 ms, heap usage 242.240 MB -> 89.292 MB.
[2026-03-06T03:15:43.535Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:15:47.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:15:53.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:15:57.709Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:16:01.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:16:04.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:16:07.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:16:10.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:16:11.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:16:11.072Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:16:11.822Z] Top recommended movies for user id 72:
[2026-03-06T03:16:11.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:16:11.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:16:11.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:16:11.822Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:16:11.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:16:11.822Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33449.181 ms) ======
[2026-03-06T03:16:11.822Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-06T03:16:11.822Z] GC before operation: completed in 219.983 ms, heap usage 150.830 MB -> 89.530 MB.
[2026-03-06T03:16:17.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:16:21.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:16:27.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:16:31.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:16:34.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:16:37.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:16:40.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:16:43.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:16:43.812Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:16:43.812Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:16:43.812Z] Top recommended movies for user id 72:
[2026-03-06T03:16:43.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:16:43.812Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:16:43.812Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:16:43.812Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:16:43.812Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:16:43.812Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32201.874 ms) ======
[2026-03-06T03:16:43.813Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-06T03:16:44.561Z] GC before operation: completed in 303.038 ms, heap usage 436.518 MB -> 89.977 MB.
[2026-03-06T03:16:49.378Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:16:54.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:16:59.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:17:04.607Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:17:07.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:17:09.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:17:12.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:17:16.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:17:16.108Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:17:16.108Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:17:16.108Z] Top recommended movies for user id 72:
[2026-03-06T03:17:16.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:17:16.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:17:16.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:17:16.108Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:17:16.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:17:16.108Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32015.372 ms) ======
[2026-03-06T03:17:16.108Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-06T03:17:16.853Z] GC before operation: completed in 314.658 ms, heap usage 301.327 MB -> 89.968 MB.
[2026-03-06T03:17:21.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:17:26.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:17:32.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:17:37.082Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:17:40.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:17:43.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:17:46.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:17:49.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:17:49.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:17:49.499Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:17:49.499Z] Top recommended movies for user id 72:
[2026-03-06T03:17:49.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:17:49.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:17:49.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:17:49.499Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:17:49.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:17:49.499Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33167.362 ms) ======
[2026-03-06T03:17:49.499Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-06T03:17:50.246Z] GC before operation: completed in 202.703 ms, heap usage 419.488 MB -> 89.941 MB.
[2026-03-06T03:17:54.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:18:00.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:18:04.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:18:09.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:18:12.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:18:17.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:18:18.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:18:20.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:18:21.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:18:21.302Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:18:21.302Z] Top recommended movies for user id 72:
[2026-03-06T03:18:21.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:18:21.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:18:21.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:18:21.302Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:18:21.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:18:21.302Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31487.669 ms) ======
[2026-03-06T03:18:21.302Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-06T03:18:22.051Z] GC before operation: completed in 272.108 ms, heap usage 215.315 MB -> 89.846 MB.
[2026-03-06T03:18:26.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:18:31.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:18:36.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:18:40.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:18:43.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:18:45.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:18:48.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:18:51.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:18:51.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:18:51.692Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:18:52.439Z] Top recommended movies for user id 72:
[2026-03-06T03:18:52.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:18:52.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:18:52.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:18:52.439Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:18:52.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:18:52.439Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30407.360 ms) ======
[2026-03-06T03:18:52.439Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-06T03:18:52.439Z] GC before operation: completed in 232.283 ms, heap usage 383.315 MB -> 89.821 MB.
[2026-03-06T03:18:56.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:19:02.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:19:06.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:19:11.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:19:13.533Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:19:15.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:19:19.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:19:21.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:19:22.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:19:22.401Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:19:22.401Z] Top recommended movies for user id 72:
[2026-03-06T03:19:22.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:19:22.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:19:22.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:19:22.401Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:19:22.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:19:22.401Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30196.796 ms) ======
[2026-03-06T03:19:22.401Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-06T03:19:23.148Z] GC before operation: completed in 202.458 ms, heap usage 462.506 MB -> 90.173 MB.
[2026-03-06T03:19:27.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:19:31.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:19:37.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:19:40.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:19:43.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:19:46.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:19:50.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:19:51.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:19:52.513Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:19:52.513Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:19:53.267Z] Top recommended movies for user id 72:
[2026-03-06T03:19:53.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:19:53.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:19:53.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:19:53.268Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:19:53.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:19:53.268Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30069.256 ms) ======
[2026-03-06T03:19:53.268Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-06T03:19:53.268Z] GC before operation: completed in 212.023 ms, heap usage 447.964 MB -> 90.244 MB.
[2026-03-06T03:19:57.609Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:20:03.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:20:07.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:20:11.761Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:20:23.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:20:26.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:20:28.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:20:34.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:20:34.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:20:34.383Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:20:35.126Z] Top recommended movies for user id 72:
[2026-03-06T03:20:35.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:20:35.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:20:35.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:20:35.126Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:20:35.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:20:35.126Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41827.765 ms) ======
[2026-03-06T03:20:35.126Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-06T03:20:35.126Z] GC before operation: completed in 267.974 ms, heap usage 242.308 MB -> 89.738 MB.
[2026-03-06T03:20:39.831Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:20:43.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:20:48.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:20:51.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:20:54.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:20:56.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:21:00.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:21:02.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:21:02.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:21:02.446Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:21:02.446Z] Top recommended movies for user id 72:
[2026-03-06T03:21:02.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:21:02.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:21:02.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:21:02.446Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:21:02.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:21:02.446Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27387.206 ms) ======
[2026-03-06T03:21:02.446Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-06T03:21:03.186Z] GC before operation: completed in 249.149 ms, heap usage 214.708 MB -> 89.955 MB.
[2026-03-06T03:21:07.561Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:21:11.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:21:16.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:21:20.591Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:21:23.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:21:29.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:21:33.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:21:40.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:21:40.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:21:40.673Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:21:40.673Z] Top recommended movies for user id 72:
[2026-03-06T03:21:40.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:21:40.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:21:40.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:21:40.673Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:21:40.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:21:40.673Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (37847.490 ms) ======
[2026-03-06T03:21:40.673Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-06T03:21:40.673Z] GC before operation: completed in 229.917 ms, heap usage 242.607 MB -> 89.821 MB.
[2026-03-06T03:21:50.264Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:22:03.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:22:07.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:22:11.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:22:13.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:22:17.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:22:19.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:22:22.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:22:22.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:22:22.851Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:22:22.851Z] Top recommended movies for user id 72:
[2026-03-06T03:22:22.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:22:22.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:22:22.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:22:22.851Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:22:22.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:22:22.851Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42031.822 ms) ======
[2026-03-06T03:22:22.851Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-06T03:22:23.597Z] GC before operation: completed in 264.372 ms, heap usage 280.852 MB -> 90.043 MB.
[2026-03-06T03:22:27.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:22:32.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:22:37.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:22:42.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:22:44.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:22:47.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:22:51.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:22:53.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:22:53.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:22:53.536Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:22:54.296Z] Top recommended movies for user id 72:
[2026-03-06T03:22:54.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:22:54.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:22:54.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:22:54.296Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:22:54.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:22:54.296Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30821.959 ms) ======
[2026-03-06T03:22:54.296Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-06T03:22:54.296Z] GC before operation: completed in 235.590 ms, heap usage 391.680 MB -> 90.106 MB.
[2026-03-06T03:22:59.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:23:04.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:23:09.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:23:13.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:23:22.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:23:24.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:23:26.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:23:30.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:23:30.308Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:23:30.308Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:23:31.058Z] Top recommended movies for user id 72:
[2026-03-06T03:23:31.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:23:31.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:23:31.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:23:31.058Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:23:31.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:23:31.058Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (36352.310 ms) ======
[2026-03-06T03:23:31.058Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-06T03:23:31.058Z] GC before operation: completed in 283.455 ms, heap usage 293.973 MB -> 90.067 MB.
[2026-03-06T03:23:35.456Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T03:23:40.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T03:23:45.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T03:23:50.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T03:23:52.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T03:23:54.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T03:23:57.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T03:23:59.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T03:23:59.660Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-03-06T03:23:59.660Z] The best model improves the baseline by 14.52%.
[2026-03-06T03:24:00.407Z] Top recommended movies for user id 72:
[2026-03-06T03:24:00.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T03:24:00.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T03:24:00.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T03:24:00.407Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T03:24:00.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T03:24:00.407Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29281.084 ms) ======
[2026-03-06T03:24:01.147Z] -----------------------------------
[2026-03-06T03:24:01.147Z] renaissance-movie-lens_0_PASSED
[2026-03-06T03:24:01.147Z] -----------------------------------
[2026-03-06T03:24:01.147Z]
[2026-03-06T03:24:01.147Z] TEST TEARDOWN:
[2026-03-06T03:24:01.147Z] Nothing to be done for teardown.
[2026-03-06T03:24:01.147Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 03:24:00 2026 Epoch Time (ms): 1772767440668