renaissance-movie-lens_0
[2026-01-03T13:46:38.755Z] Running test renaissance-movie-lens_0 ...
[2026-01-03T13:46:38.755Z] ===============================================
[2026-01-03T13:46:38.755Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 13:46:38 2026 Epoch Time (ms): 1767447998385
[2026-01-03T13:46:38.755Z] variation: NoOptions
[2026-01-03T13:46:38.755Z] JVM_OPTIONS:
[2026-01-03T13:46:38.755Z] { \
[2026-01-03T13:46:38.755Z] echo ""; echo "TEST SETUP:"; \
[2026-01-03T13:46:38.755Z] echo "Nothing to be done for setup."; \
[2026-01-03T13:46:38.755Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17674465259764/renaissance-movie-lens_0"; \
[2026-01-03T13:46:38.755Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17674465259764/renaissance-movie-lens_0"; \
[2026-01-03T13:46:38.755Z] echo ""; echo "TESTING:"; \
[2026-01-03T13:46:38.755Z] "/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_17674465259764/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-03T13:46:38.755Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17674465259764/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-03T13:46:38.755Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-03T13:46:38.755Z] echo "Nothing to be done for teardown."; \
[2026-01-03T13:46:38.755Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17674465259764/TestTargetResult";
[2026-01-03T13:46:38.755Z]
[2026-01-03T13:46:38.755Z] TEST SETUP:
[2026-01-03T13:46:38.755Z] Nothing to be done for setup.
[2026-01-03T13:46:38.755Z]
[2026-01-03T13:46:38.755Z] TESTING:
[2026-01-03T13:46:39.711Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-03T13:46:39.711Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17674465259764/renaissance-movie-lens_0/launcher-134638-6709397383584921058/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-03T13:46:39.711Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-03T13:46:39.711Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-03T13:46:55.588Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-03T13:47:04.260Z] 13:47:03.232 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-03T13:47:06.225Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-03T13:47:06.225Z] Training: 60056, validation: 20285, test: 19854
[2026-01-03T13:47:06.225Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-03T13:47:06.225Z] GC before operation: completed in 92.673 ms, heap usage 201.557 MB -> 75.683 MB.
[2026-01-03T13:47:13.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:47:17.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:47:21.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:47:24.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:47:26.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:47:28.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:47:30.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:47:32.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:47:32.518Z] 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.
[2026-01-03T13:47:32.518Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:47:32.518Z] Top recommended movies for user id 72:
[2026-01-03T13:47:32.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:47:32.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:47:32.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:47:32.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:47:32.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:47:32.518Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26479.846 ms) ======
[2026-01-03T13:47:32.518Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-03T13:47:32.518Z] GC before operation: completed in 147.853 ms, heap usage 301.710 MB -> 86.395 MB.
[2026-01-03T13:47:36.685Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:47:39.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:47:41.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:47:44.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:47:46.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:47:47.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:47:50.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:47:51.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:47:51.297Z] 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.
[2026-01-03T13:47:51.297Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:47:51.297Z] Top recommended movies for user id 72:
[2026-01-03T13:47:51.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:47:51.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:47:51.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:47:51.297Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:47:51.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:47:51.297Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18568.323 ms) ======
[2026-01-03T13:47:51.297Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-03T13:47:51.297Z] GC before operation: completed in 136.106 ms, heap usage 158.243 MB -> 88.488 MB.
[2026-01-03T13:47:54.329Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:47:57.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:47:59.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:48:02.359Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:48:04.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:48:05.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:48:07.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:48:08.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:48:08.195Z] 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.
[2026-01-03T13:48:08.195Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:48:08.195Z] Top recommended movies for user id 72:
[2026-01-03T13:48:08.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:48:08.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:48:08.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:48:08.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:48:08.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:48:08.195Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16805.111 ms) ======
[2026-01-03T13:48:08.195Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-03T13:48:08.195Z] GC before operation: completed in 163.931 ms, heap usage 514.574 MB -> 89.612 MB.
[2026-01-03T13:48:11.218Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:48:13.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:48:16.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:48:18.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:48:20.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:48:22.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:48:23.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:48:25.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:48:25.072Z] 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.
[2026-01-03T13:48:25.072Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:48:25.072Z] Top recommended movies for user id 72:
[2026-01-03T13:48:25.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:48:25.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:48:25.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:48:25.072Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:48:25.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:48:25.072Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16709.756 ms) ======
[2026-01-03T13:48:25.072Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-03T13:48:25.072Z] GC before operation: completed in 144.225 ms, heap usage 400.319 MB -> 89.706 MB.
[2026-01-03T13:48:28.169Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:48:31.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:48:34.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:48:36.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:48:38.155Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:48:39.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:48:41.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:48:42.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:48:42.675Z] 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.
[2026-01-03T13:48:42.675Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:48:43.743Z] Top recommended movies for user id 72:
[2026-01-03T13:48:43.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:48:43.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:48:43.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:48:43.743Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:48:43.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:48:43.743Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17640.562 ms) ======
[2026-01-03T13:48:43.743Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-03T13:48:43.743Z] GC before operation: completed in 143.246 ms, heap usage 427.846 MB -> 89.756 MB.
[2026-01-03T13:48:45.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:48:48.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:48:50.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:48:53.773Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:48:56.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:48:57.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:48:59.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:49:00.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:49:00.997Z] 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.
[2026-01-03T13:49:00.997Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:49:00.997Z] Top recommended movies for user id 72:
[2026-01-03T13:49:00.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:49:00.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:49:00.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:49:00.997Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:49:00.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:49:00.997Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17803.627 ms) ======
[2026-01-03T13:49:00.997Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-03T13:49:00.997Z] GC before operation: completed in 152.592 ms, heap usage 232.107 MB -> 89.757 MB.
[2026-01-03T13:49:04.021Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:49:05.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:49:09.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:49:10.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:49:12.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:49:13.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:49:15.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:49:16.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:49:17.794Z] 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.
[2026-01-03T13:49:17.794Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:49:17.794Z] Top recommended movies for user id 72:
[2026-01-03T13:49:17.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:49:17.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:49:17.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:49:17.794Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:49:17.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:49:17.794Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16301.108 ms) ======
[2026-01-03T13:49:17.794Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-03T13:49:17.794Z] GC before operation: completed in 151.342 ms, heap usage 363.133 MB -> 89.938 MB.
[2026-01-03T13:49:20.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:49:22.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:49:25.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:49:27.936Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:49:30.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:49:31.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:49:33.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:49:34.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:49:35.266Z] 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.
[2026-01-03T13:49:35.266Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:49:35.266Z] Top recommended movies for user id 72:
[2026-01-03T13:49:35.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:49:35.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:49:35.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:49:35.266Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:49:35.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:49:35.266Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17331.873 ms) ======
[2026-01-03T13:49:35.266Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-03T13:49:35.266Z] GC before operation: completed in 140.161 ms, heap usage 112.188 MB -> 89.786 MB.
[2026-01-03T13:49:38.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:49:41.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:49:43.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:49:46.397Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:49:47.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:49:49.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:49:50.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:49:52.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:49:52.303Z] 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.
[2026-01-03T13:49:52.303Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:49:52.303Z] Top recommended movies for user id 72:
[2026-01-03T13:49:52.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:49:52.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:49:52.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:49:52.303Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:49:52.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:49:52.303Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17254.895 ms) ======
[2026-01-03T13:49:52.303Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-03T13:49:52.303Z] GC before operation: completed in 174.541 ms, heap usage 189.787 MB -> 89.745 MB.
[2026-01-03T13:49:55.330Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:49:58.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:50:00.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:50:03.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:50:04.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:50:06.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:50:07.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:50:09.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:50:09.570Z] 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.
[2026-01-03T13:50:09.570Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:50:09.570Z] Top recommended movies for user id 72:
[2026-01-03T13:50:09.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:50:09.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:50:09.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:50:09.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:50:09.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:50:09.570Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17409.500 ms) ======
[2026-01-03T13:50:09.570Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-03T13:50:10.523Z] GC before operation: completed in 158.150 ms, heap usage 289.395 MB -> 90.143 MB.
[2026-01-03T13:50:12.490Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:50:16.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:50:19.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:50:21.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:50:23.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:50:24.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:50:26.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:50:28.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:50:28.065Z] 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.
[2026-01-03T13:50:28.065Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:50:28.065Z] Top recommended movies for user id 72:
[2026-01-03T13:50:28.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:50:28.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:50:28.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:50:28.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:50:28.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:50:28.066Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17921.951 ms) ======
[2026-01-03T13:50:28.066Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-03T13:50:28.066Z] GC before operation: completed in 143.707 ms, heap usage 399.850 MB -> 89.921 MB.
[2026-01-03T13:50:31.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:50:33.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:50:36.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:50:38.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:50:40.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:50:41.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:50:43.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:50:44.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:50:45.017Z] 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.
[2026-01-03T13:50:45.017Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:50:45.017Z] Top recommended movies for user id 72:
[2026-01-03T13:50:45.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:50:45.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:50:45.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:50:45.017Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:50:45.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:50:45.017Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16527.276 ms) ======
[2026-01-03T13:50:45.017Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-03T13:50:45.017Z] GC before operation: completed in 155.774 ms, heap usage 381.156 MB -> 90.204 MB.
[2026-01-03T13:50:48.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:50:50.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:50:53.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:50:56.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:50:57.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:50:59.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:51:00.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:51:02.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:51:02.074Z] 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.
[2026-01-03T13:51:02.074Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:51:03.034Z] Top recommended movies for user id 72:
[2026-01-03T13:51:03.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:51:03.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:51:03.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:51:03.034Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:51:03.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:51:03.034Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17619.824 ms) ======
[2026-01-03T13:51:03.034Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-03T13:51:03.034Z] GC before operation: completed in 143.146 ms, heap usage 368.892 MB -> 90.274 MB.
[2026-01-03T13:51:06.140Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:51:08.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:51:11.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:51:13.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:51:14.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:51:16.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:51:17.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:51:19.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:51:19.527Z] 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.
[2026-01-03T13:51:19.527Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:51:19.527Z] Top recommended movies for user id 72:
[2026-01-03T13:51:19.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:51:19.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:51:19.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:51:19.527Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:51:19.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:51:19.527Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16783.364 ms) ======
[2026-01-03T13:51:19.527Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-03T13:51:19.527Z] GC before operation: completed in 161.565 ms, heap usage 701.486 MB -> 93.849 MB.
[2026-01-03T13:51:22.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:51:24.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:51:27.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:51:29.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:51:31.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:51:32.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:51:34.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:51:35.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:51:35.541Z] 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.
[2026-01-03T13:51:36.498Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:51:36.499Z] Top recommended movies for user id 72:
[2026-01-03T13:51:36.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:51:36.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:51:36.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:51:36.499Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:51:36.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:51:36.499Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16491.197 ms) ======
[2026-01-03T13:51:36.499Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-03T13:51:36.499Z] GC before operation: completed in 161.417 ms, heap usage 481.118 MB -> 90.530 MB.
[2026-01-03T13:51:38.468Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:51:41.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:51:44.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:51:46.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:51:47.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:51:49.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:51:51.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:51:52.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:51:53.332Z] 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.
[2026-01-03T13:51:53.332Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:51:53.332Z] Top recommended movies for user id 72:
[2026-01-03T13:51:53.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:51:53.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:51:53.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:51:53.332Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:51:53.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:51:53.332Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16879.311 ms) ======
[2026-01-03T13:51:53.332Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-03T13:51:53.332Z] GC before operation: completed in 149.807 ms, heap usage 433.964 MB -> 90.275 MB.
[2026-01-03T13:51:56.368Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:51:58.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:52:01.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:52:03.331Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:52:04.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:52:05.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:52:07.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:52:08.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:52:08.869Z] 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.
[2026-01-03T13:52:08.869Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:52:10.004Z] Top recommended movies for user id 72:
[2026-01-03T13:52:10.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:52:10.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:52:10.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:52:10.004Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:52:10.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:52:10.004Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16015.461 ms) ======
[2026-01-03T13:52:10.004Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-03T13:52:10.004Z] GC before operation: completed in 145.259 ms, heap usage 262.807 MB -> 90.221 MB.
[2026-01-03T13:52:11.968Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:52:15.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:52:16.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:52:20.003Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:52:20.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:52:22.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:52:23.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:52:24.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:52:25.800Z] 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.
[2026-01-03T13:52:25.800Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:52:25.800Z] Top recommended movies for user id 72:
[2026-01-03T13:52:25.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:52:25.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:52:25.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:52:25.800Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:52:25.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:52:25.800Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16126.043 ms) ======
[2026-01-03T13:52:25.800Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-03T13:52:25.800Z] GC before operation: completed in 147.956 ms, heap usage 259.713 MB -> 90.042 MB.
[2026-01-03T13:52:28.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:52:30.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:52:32.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:52:35.869Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:52:37.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:52:38.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:52:40.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:52:42.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:52:42.721Z] 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.
[2026-01-03T13:52:42.721Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:52:42.721Z] Top recommended movies for user id 72:
[2026-01-03T13:52:42.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:52:42.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:52:42.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:52:42.721Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:52:42.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:52:42.721Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16978.333 ms) ======
[2026-01-03T13:52:42.721Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-03T13:52:42.721Z] GC before operation: completed in 155.089 ms, heap usage 272.561 MB -> 90.092 MB.
[2026-01-03T13:52:45.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T13:52:48.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T13:52:50.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T13:52:53.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T13:52:54.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T13:52:55.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T13:52:57.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T13:52:58.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T13:52:58.831Z] 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.
[2026-01-03T13:52:58.831Z] The best model improves the baseline by 14.52%.
[2026-01-03T13:52:59.787Z] Top recommended movies for user id 72:
[2026-01-03T13:52:59.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T13:52:59.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T13:52:59.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T13:52:59.787Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T13:52:59.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T13:52:59.787Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16539.751 ms) ======
[2026-01-03T13:53:00.741Z] -----------------------------------
[2026-01-03T13:53:00.741Z] renaissance-movie-lens_0_PASSED
[2026-01-03T13:53:00.741Z] -----------------------------------
[2026-01-03T13:53:00.741Z]
[2026-01-03T13:53:00.741Z] TEST TEARDOWN:
[2026-01-03T13:53:00.741Z] Nothing to be done for teardown.
[2026-01-03T13:53:00.741Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 13:52:59 2026 Epoch Time (ms): 1767448379907