renaissance-movie-lens_0
[2026-01-31T11:48:24.479Z] Running test renaissance-movie-lens_0 ...
[2026-01-31T11:48:24.480Z] ===============================================
[2026-01-31T11:48:24.480Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 11:48:23 2026 Epoch Time (ms): 1769860103922
[2026-01-31T11:48:24.480Z] variation: NoOptions
[2026-01-31T11:48:24.480Z] JVM_OPTIONS:
[2026-01-31T11:48:24.480Z] { \
[2026-01-31T11:48:24.480Z] echo ""; echo "TEST SETUP:"; \
[2026-01-31T11:48:24.480Z] echo "Nothing to be done for setup."; \
[2026-01-31T11:48:24.480Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17698584275162/renaissance-movie-lens_0"; \
[2026-01-31T11:48:24.480Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17698584275162/renaissance-movie-lens_0"; \
[2026-01-31T11:48:24.480Z] echo ""; echo "TESTING:"; \
[2026-01-31T11:48:24.480Z] "/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_17698584275162/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-31T11:48:24.480Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17698584275162/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-31T11:48:24.480Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-31T11:48:24.480Z] echo "Nothing to be done for teardown."; \
[2026-01-31T11:48:24.480Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17698584275162/TestTargetResult";
[2026-01-31T11:48:24.480Z]
[2026-01-31T11:48:24.480Z] TEST SETUP:
[2026-01-31T11:48:24.480Z] Nothing to be done for setup.
[2026-01-31T11:48:24.480Z]
[2026-01-31T11:48:24.480Z] TESTING:
[2026-01-31T11:48:25.443Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-31T11:48:25.443Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17698584275162/renaissance-movie-lens_0/launcher-114824-119473148992293747/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-31T11:48:25.443Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-31T11:48:25.443Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-31T11:48:33.721Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-31T11:48:45.383Z] 11:48:43.548 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.
[2026-01-31T11:48:46.352Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-31T11:48:47.330Z] Training: 60056, validation: 20285, test: 19854
[2026-01-31T11:48:47.330Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-31T11:48:47.330Z] GC before operation: completed in 114.491 ms, heap usage 282.055 MB -> 75.793 MB.
[2026-01-31T11:48:54.863Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:49:00.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:49:04.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:49:07.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:49:10.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:49:12.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:49:14.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:49:16.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:49:16.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-31T11:49:16.748Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:49:17.718Z] Top recommended movies for user id 72:
[2026-01-31T11:49:17.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:49:17.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:49:17.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:49:17.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:49:17.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:49:17.718Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30070.174 ms) ======
[2026-01-31T11:49:17.718Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-31T11:49:17.718Z] GC before operation: completed in 140.883 ms, heap usage 417.816 MB -> 87.792 MB.
[2026-01-31T11:49:20.797Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:49:25.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:49:28.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:49:31.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:49:33.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:49:35.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:49:38.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:49:40.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:49:40.518Z] 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.
[2026-01-31T11:49:40.518Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:49:40.518Z] Top recommended movies for user id 72:
[2026-01-31T11:49:40.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:49:40.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:49:40.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:49:40.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:49:40.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:49:40.518Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23080.455 ms) ======
[2026-01-31T11:49:40.518Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-31T11:49:40.518Z] GC before operation: completed in 136.768 ms, heap usage 172.364 MB -> 88.448 MB.
[2026-01-31T11:49:44.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:49:47.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:49:50.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:49:53.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:49:55.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:49:57.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:49:59.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:50:00.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:50:00.699Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-31T11:50:01.668Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:50:01.668Z] Top recommended movies for user id 72:
[2026-01-31T11:50:01.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:50:01.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:50:01.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:50:01.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:50:01.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:50:01.668Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20724.012 ms) ======
[2026-01-31T11:50:01.668Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-31T11:50:01.668Z] GC before operation: completed in 158.663 ms, heap usage 416.359 MB -> 89.537 MB.
[2026-01-31T11:50:04.771Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:50:06.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:50:09.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:50:12.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:50:14.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:50:16.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:50:18.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:50:20.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:50:20.877Z] 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.
[2026-01-31T11:50:20.877Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:50:20.877Z] Top recommended movies for user id 72:
[2026-01-31T11:50:20.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:50:20.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:50:20.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:50:20.877Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:50:20.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:50:20.877Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19649.084 ms) ======
[2026-01-31T11:50:20.877Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-31T11:50:20.877Z] GC before operation: completed in 149.221 ms, heap usage 289.458 MB -> 89.621 MB.
[2026-01-31T11:50:24.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:50:27.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:50:30.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:50:33.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:50:35.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:50:38.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:50:39.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:50:40.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:50:40.623Z] 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.
[2026-01-31T11:50:40.623Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:50:41.592Z] Top recommended movies for user id 72:
[2026-01-31T11:50:41.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:50:41.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:50:41.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:50:41.592Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:50:41.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:50:41.592Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19921.012 ms) ======
[2026-01-31T11:50:41.592Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-31T11:50:41.592Z] GC before operation: completed in 177.005 ms, heap usage 119.059 MB -> 89.338 MB.
[2026-01-31T11:50:44.860Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:50:46.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:50:49.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:50:52.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:50:53.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:50:55.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:50:57.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:50:59.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:50:59.971Z] 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.
[2026-01-31T11:50:59.971Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:50:59.971Z] Top recommended movies for user id 72:
[2026-01-31T11:50:59.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:50:59.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:50:59.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:50:59.971Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:50:59.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:50:59.971Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18400.000 ms) ======
[2026-01-31T11:50:59.971Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-31T11:50:59.971Z] GC before operation: completed in 142.247 ms, heap usage 546.333 MB -> 93.428 MB.
[2026-01-31T11:51:03.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:51:06.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:51:08.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:51:11.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:51:13.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:51:15.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:51:16.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:51:18.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:51:18.142Z] 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.
[2026-01-31T11:51:18.142Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:51:18.142Z] Top recommended movies for user id 72:
[2026-01-31T11:51:18.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:51:18.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:51:18.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:51:18.143Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:51:18.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:51:18.143Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18283.660 ms) ======
[2026-01-31T11:51:18.143Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-31T11:51:18.143Z] GC before operation: completed in 138.627 ms, heap usage 220.313 MB -> 89.767 MB.
[2026-01-31T11:51:21.234Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:51:24.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:51:26.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:51:29.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:51:30.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:51:32.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:51:33.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:51:35.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:51:35.849Z] 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.
[2026-01-31T11:51:35.849Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:51:35.849Z] Top recommended movies for user id 72:
[2026-01-31T11:51:35.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:51:35.849Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:51:35.849Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:51:35.849Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:51:35.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:51:35.849Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17957.654 ms) ======
[2026-01-31T11:51:35.849Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-31T11:51:36.823Z] GC before operation: completed in 141.416 ms, heap usage 416.766 MB -> 90.294 MB.
[2026-01-31T11:51:39.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:51:42.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:51:45.110Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:51:48.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:51:49.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:51:51.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:51:53.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:51:54.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:51:55.071Z] 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.
[2026-01-31T11:51:55.072Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:51:55.072Z] Top recommended movies for user id 72:
[2026-01-31T11:51:55.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:51:55.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:51:55.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:51:55.072Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:51:55.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:51:55.072Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18583.768 ms) ======
[2026-01-31T11:51:55.072Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-31T11:51:55.072Z] GC before operation: completed in 155.003 ms, heap usage 425.996 MB -> 90.271 MB.
[2026-01-31T11:51:58.140Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:52:00.129Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:52:02.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:52:05.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:52:06.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:52:07.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:52:09.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:52:11.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:52:11.882Z] 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.
[2026-01-31T11:52:11.882Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:52:11.882Z] Top recommended movies for user id 72:
[2026-01-31T11:52:11.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:52:11.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:52:11.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:52:11.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:52:11.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:52:11.882Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16780.257 ms) ======
[2026-01-31T11:52:11.882Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-31T11:52:11.882Z] GC before operation: completed in 152.334 ms, heap usage 293.426 MB -> 90.210 MB.
[2026-01-31T11:52:14.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:52:18.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:52:20.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:52:23.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:52:25.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:52:26.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:52:32.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:52:32.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:52:32.620Z] 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.
[2026-01-31T11:52:32.620Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:52:32.620Z] Top recommended movies for user id 72:
[2026-01-31T11:52:32.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:52:32.620Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:52:32.620Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:52:32.620Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:52:32.620Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:52:32.620Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17997.079 ms) ======
[2026-01-31T11:52:32.620Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-31T11:52:32.620Z] GC before operation: completed in 162.403 ms, heap usage 420.682 MB -> 90.068 MB.
[2026-01-31T11:52:33.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:52:35.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:52:38.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:52:40.645Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:52:42.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:52:44.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:52:45.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:52:47.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:52:47.597Z] 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.
[2026-01-31T11:52:47.597Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:52:47.597Z] Top recommended movies for user id 72:
[2026-01-31T11:52:47.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:52:47.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:52:47.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:52:47.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:52:47.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:52:47.597Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17512.454 ms) ======
[2026-01-31T11:52:47.597Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-31T11:52:47.597Z] GC before operation: completed in 140.958 ms, heap usage 481.843 MB -> 90.354 MB.
[2026-01-31T11:52:50.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:52:52.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:52:55.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:52:57.717Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:52:59.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:53:00.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:53:02.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:53:04.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:53:04.674Z] 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.
[2026-01-31T11:53:04.674Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:53:04.674Z] Top recommended movies for user id 72:
[2026-01-31T11:53:04.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:53:04.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:53:04.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:53:04.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:53:04.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:53:04.674Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16885.708 ms) ======
[2026-01-31T11:53:04.674Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-31T11:53:04.674Z] GC before operation: completed in 166.639 ms, heap usage 372.054 MB -> 90.410 MB.
[2026-01-31T11:53:07.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:53:10.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:53:13.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:53:15.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:53:17.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:53:18.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:53:20.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:53:22.893Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:53:22.893Z] 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.
[2026-01-31T11:53:22.893Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:53:22.893Z] Top recommended movies for user id 72:
[2026-01-31T11:53:22.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:53:22.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:53:22.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:53:22.893Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:53:22.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:53:22.893Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17599.499 ms) ======
[2026-01-31T11:53:22.893Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-31T11:53:22.893Z] GC before operation: completed in 142.917 ms, heap usage 388.167 MB -> 90.164 MB.
[2026-01-31T11:53:25.974Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:53:27.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:53:31.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:53:34.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:53:35.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:53:37.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:53:38.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:53:40.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:53:40.039Z] 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.
[2026-01-31T11:53:40.039Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:53:40.039Z] Top recommended movies for user id 72:
[2026-01-31T11:53:40.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:53:40.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:53:40.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:53:40.039Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:53:40.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:53:40.039Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17323.138 ms) ======
[2026-01-31T11:53:40.039Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-31T11:53:40.039Z] GC before operation: completed in 159.171 ms, heap usage 172.743 MB -> 90.120 MB.
[2026-01-31T11:53:43.106Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:53:45.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:53:48.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:53:50.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:53:52.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:53:53.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:53:55.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:53:56.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:53:56.079Z] 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.
[2026-01-31T11:53:56.079Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:53:57.047Z] Top recommended movies for user id 72:
[2026-01-31T11:53:57.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:53:57.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:53:57.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:53:57.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:53:57.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:53:57.047Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16327.100 ms) ======
[2026-01-31T11:53:57.047Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-31T11:53:57.047Z] GC before operation: completed in 148.516 ms, heap usage 257.642 MB -> 90.066 MB.
[2026-01-31T11:53:59.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:54:02.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:54:04.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:54:07.160Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:54:08.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:54:10.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:54:11.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:54:13.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:54:13.071Z] 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.
[2026-01-31T11:54:13.071Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:54:14.042Z] Top recommended movies for user id 72:
[2026-01-31T11:54:14.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:54:14.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:54:14.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:54:14.042Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:54:14.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:54:14.042Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16841.851 ms) ======
[2026-01-31T11:54:14.042Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-31T11:54:14.042Z] GC before operation: completed in 167.560 ms, heap usage 182.558 MB -> 90.106 MB.
[2026-01-31T11:54:15.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:54:18.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:54:22.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:54:24.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:54:26.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:54:27.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:54:28.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:54:29.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:54:30.940Z] 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.
[2026-01-31T11:54:30.940Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:54:30.940Z] Top recommended movies for user id 72:
[2026-01-31T11:54:30.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:54:30.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:54:30.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:54:30.940Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:54:30.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:54:30.940Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17170.307 ms) ======
[2026-01-31T11:54:30.940Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-31T11:54:30.940Z] GC before operation: completed in 161.612 ms, heap usage 487.282 MB -> 90.357 MB.
[2026-01-31T11:54:34.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:54:36.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:54:39.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:54:41.063Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:54:43.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:54:45.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:54:46.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:54:48.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:54:48.047Z] 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.
[2026-01-31T11:54:48.047Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:54:48.047Z] Top recommended movies for user id 72:
[2026-01-31T11:54:48.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:54:48.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:54:48.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:54:48.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:54:48.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:54:48.047Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17174.308 ms) ======
[2026-01-31T11:54:48.047Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-31T11:54:48.047Z] GC before operation: completed in 162.242 ms, heap usage 200.651 MB -> 89.997 MB.
[2026-01-31T11:54:51.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T11:54:54.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T11:54:56.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T11:54:59.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T11:55:00.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T11:55:02.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T11:55:04.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T11:55:05.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T11:55:05.158Z] 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.
[2026-01-31T11:55:05.158Z] The best model improves the baseline by 14.52%.
[2026-01-31T11:55:05.158Z] Top recommended movies for user id 72:
[2026-01-31T11:55:05.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-31T11:55:05.158Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-31T11:55:05.158Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-31T11:55:05.158Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-31T11:55:05.158Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-31T11:55:05.158Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17229.631 ms) ======
[2026-01-31T11:55:07.862Z] -----------------------------------
[2026-01-31T11:55:07.862Z] renaissance-movie-lens_0_PASSED
[2026-01-31T11:55:07.862Z] -----------------------------------
[2026-01-31T11:55:07.862Z]
[2026-01-31T11:55:07.862Z] TEST TEARDOWN:
[2026-01-31T11:55:07.862Z] Nothing to be done for teardown.
[2026-01-31T11:55:07.862Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 11:55:06 2026 Epoch Time (ms): 1769860506084