renaissance-movie-lens_0
[2026-04-04T21:42:19.517Z] Running test renaissance-movie-lens_0 ...
[2026-04-04T21:42:19.517Z] ===============================================
[2026-04-04T21:42:19.517Z] renaissance-movie-lens_0 Start Time: Sat Apr 4 21:42:18 2026 Epoch Time (ms): 1775338938999
[2026-04-04T21:42:19.517Z] variation: NoOptions
[2026-04-04T21:42:19.517Z] JVM_OPTIONS:
[2026-04-04T21:42:19.517Z] { \
[2026-04-04T21:42:19.517Z] echo ""; echo "TEST SETUP:"; \
[2026-04-04T21:42:19.517Z] echo "Nothing to be done for setup."; \
[2026-04-04T21:42:19.517Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17753375806194/renaissance-movie-lens_0"; \
[2026-04-04T21:42:19.517Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17753375806194/renaissance-movie-lens_0"; \
[2026-04-04T21:42:19.517Z] echo ""; echo "TESTING:"; \
[2026-04-04T21:42:19.517Z] "/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_17753375806194/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-04T21:42:19.517Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17753375806194/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-04T21:42:19.517Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-04T21:42:19.517Z] echo "Nothing to be done for teardown."; \
[2026-04-04T21:42:19.517Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17753375806194/TestTargetResult";
[2026-04-04T21:42:19.517Z]
[2026-04-04T21:42:19.517Z] TEST SETUP:
[2026-04-04T21:42:19.518Z] Nothing to be done for setup.
[2026-04-04T21:42:19.518Z]
[2026-04-04T21:42:19.518Z] TESTING:
[2026-04-04T21:42:21.506Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-04T21:42:21.506Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17753375806194/renaissance-movie-lens_0/launcher-214219-14313757495385235374/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-04T21:42:21.506Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-04T21:42:21.506Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-04T21:42:35.434Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-04T21:43:00.287Z] 21:42:59.512 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-04T21:43:04.479Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-04T21:43:04.479Z] Training: 60056, validation: 20285, test: 19854
[2026-04-04T21:43:04.479Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-04T21:43:05.439Z] GC before operation: completed in 152.967 ms, heap usage 136.973 MB -> 75.758 MB.
[2026-04-04T21:43:19.122Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:43:29.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:43:37.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:43:46.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:43:50.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:43:54.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:43:58.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:44:03.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:44:04.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:44:04.179Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:44:04.179Z] Top recommended movies for user id 72:
[2026-04-04T21:44:04.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:44:04.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:44:04.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:44:04.179Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:44:04.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:44:04.179Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59290.839 ms) ======
[2026-04-04T21:44:04.179Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-04T21:44:04.179Z] GC before operation: completed in 229.106 ms, heap usage 380.573 MB -> 86.425 MB.
[2026-04-04T21:44:12.452Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:44:18.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:44:24.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:44:31.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:44:35.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:44:39.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:44:43.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:44:47.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:44:47.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:44:47.981Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:44:48.976Z] Top recommended movies for user id 72:
[2026-04-04T21:44:48.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:44:48.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:44:48.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:44:48.976Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:44:48.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:44:48.976Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43903.700 ms) ======
[2026-04-04T21:44:48.976Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-04T21:44:48.976Z] GC before operation: completed in 330.078 ms, heap usage 417.579 MB -> 88.505 MB.
[2026-04-04T21:44:55.763Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:45:02.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:45:09.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:45:14.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:45:18.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:45:22.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:45:25.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:45:29.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:45:29.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:45:29.260Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:45:30.224Z] Top recommended movies for user id 72:
[2026-04-04T21:45:30.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:45:30.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:45:30.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:45:30.224Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:45:30.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:45:30.224Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (41120.349 ms) ======
[2026-04-04T21:45:30.224Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-04T21:45:30.224Z] GC before operation: completed in 291.737 ms, heap usage 129.827 MB -> 88.829 MB.
[2026-04-04T21:45:36.994Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:45:41.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:45:46.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:45:50.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:45:53.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:45:56.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:45:59.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:46:01.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:46:02.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:46:02.934Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:46:02.934Z] Top recommended movies for user id 72:
[2026-04-04T21:46:02.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:46:02.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:46:02.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:46:02.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:46:02.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:46:02.934Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33008.739 ms) ======
[2026-04-04T21:46:02.934Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-04T21:46:03.900Z] GC before operation: completed in 234.741 ms, heap usage 214.635 MB -> 89.309 MB.
[2026-04-04T21:46:09.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:46:16.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:46:22.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:46:29.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:46:31.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:46:34.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:46:37.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:46:40.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:46:40.245Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:46:41.205Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:46:41.205Z] Top recommended movies for user id 72:
[2026-04-04T21:46:41.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:46:41.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:46:41.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:46:41.206Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:46:41.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:46:41.206Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (37464.033 ms) ======
[2026-04-04T21:46:41.206Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-04T21:46:41.206Z] GC before operation: completed in 220.016 ms, heap usage 123.543 MB -> 89.044 MB.
[2026-04-04T21:46:46.613Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:46:50.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:46:56.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:47:00.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:47:03.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:47:05.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:47:09.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:47:11.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:47:12.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:47:12.679Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:47:12.679Z] Top recommended movies for user id 72:
[2026-04-04T21:47:12.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:47:12.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:47:12.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:47:12.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:47:12.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:47:12.679Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31574.962 ms) ======
[2026-04-04T21:47:12.679Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-04T21:47:12.679Z] GC before operation: completed in 345.411 ms, heap usage 442.411 MB -> 89.858 MB.
[2026-04-04T21:47:18.693Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:47:22.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:47:27.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:47:31.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:47:34.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:47:37.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:47:39.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:47:42.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:47:43.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:47:43.365Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:47:43.365Z] Top recommended movies for user id 72:
[2026-04-04T21:47:43.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:47:43.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:47:43.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:47:43.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:47:43.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:47:43.365Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30298.815 ms) ======
[2026-04-04T21:47:43.365Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-04T21:47:43.365Z] GC before operation: completed in 281.316 ms, heap usage 242.387 MB -> 89.470 MB.
[2026-04-04T21:47:48.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:47:54.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:47:59.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:48:03.935Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:48:06.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:48:08.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:48:13.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:48:15.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:48:15.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:48:15.681Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:48:16.636Z] Top recommended movies for user id 72:
[2026-04-04T21:48:16.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:48:16.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:48:16.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:48:16.636Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:48:16.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:48:16.636Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32555.825 ms) ======
[2026-04-04T21:48:16.636Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-04T21:48:16.636Z] GC before operation: completed in 246.310 ms, heap usage 149.727 MB -> 90.452 MB.
[2026-04-04T21:48:22.081Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:48:26.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:48:31.760Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:48:37.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:48:39.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:48:42.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:48:46.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:48:48.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:48:49.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:48:49.352Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:48:49.352Z] Top recommended movies for user id 72:
[2026-04-04T21:48:49.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:48:49.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:48:49.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:48:49.352Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:48:49.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:48:49.352Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32999.240 ms) ======
[2026-04-04T21:48:49.352Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-04T21:48:49.352Z] GC before operation: completed in 260.282 ms, heap usage 178.749 MB -> 89.554 MB.
[2026-04-04T21:48:54.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:48:58.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:49:04.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:49:09.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:49:12.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:49:14.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:49:17.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:49:20.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:49:20.237Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:49:20.237Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:49:21.197Z] Top recommended movies for user id 72:
[2026-04-04T21:49:21.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:49:21.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:49:21.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:49:21.197Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:49:21.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:49:21.197Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31193.200 ms) ======
[2026-04-04T21:49:21.197Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-04T21:49:21.197Z] GC before operation: completed in 235.002 ms, heap usage 229.990 MB -> 89.798 MB.
[2026-04-04T21:49:26.617Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:49:30.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:49:36.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:49:40.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:49:43.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:49:46.709Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:49:49.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:49:52.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:49:52.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:49:52.817Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:49:53.786Z] Top recommended movies for user id 72:
[2026-04-04T21:49:53.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:49:53.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:49:53.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:49:53.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:49:53.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:49:53.786Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (32236.923 ms) ======
[2026-04-04T21:49:53.786Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-04T21:49:53.786Z] GC before operation: completed in 290.923 ms, heap usage 178.419 MB -> 89.513 MB.
[2026-04-04T21:49:59.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:50:03.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:50:07.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:50:12.116Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:50:15.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:50:18.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:50:21.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:50:24.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:50:24.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:50:24.311Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:50:25.272Z] Top recommended movies for user id 72:
[2026-04-04T21:50:25.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:50:25.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:50:25.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:50:25.272Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:50:25.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:50:25.272Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (31090.750 ms) ======
[2026-04-04T21:50:25.272Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-04T21:50:25.272Z] GC before operation: completed in 294.630 ms, heap usage 248.393 MB -> 89.802 MB.
[2026-04-04T21:50:30.700Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:50:34.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:50:40.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:50:44.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:50:47.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:50:50.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:50:52.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:50:55.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:50:55.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:50:55.984Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:50:56.947Z] Top recommended movies for user id 72:
[2026-04-04T21:50:56.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:50:56.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:50:56.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:50:56.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:50:56.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:50:56.947Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31609.182 ms) ======
[2026-04-04T21:50:56.947Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-04T21:50:56.947Z] GC before operation: completed in 303.279 ms, heap usage 240.586 MB -> 89.881 MB.
[2026-04-04T21:51:02.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:51:06.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:51:12.021Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:51:16.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:51:19.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:51:22.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:51:25.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:51:27.318Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:51:28.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:51:28.279Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:51:28.279Z] Top recommended movies for user id 72:
[2026-04-04T21:51:28.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:51:28.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:51:28.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:51:28.279Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:51:28.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:51:28.279Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (31184.954 ms) ======
[2026-04-04T21:51:28.279Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-04T21:51:28.279Z] GC before operation: completed in 258.205 ms, heap usage 116.485 MB -> 91.193 MB.
[2026-04-04T21:51:32.462Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:51:36.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:51:40.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:51:45.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:51:47.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:51:50.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:51:52.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:51:55.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:51:55.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:51:55.722Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:51:56.692Z] Top recommended movies for user id 72:
[2026-04-04T21:51:56.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:51:56.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:51:56.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:51:56.692Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:51:56.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:51:56.692Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27732.944 ms) ======
[2026-04-04T21:51:56.692Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-04T21:51:56.692Z] GC before operation: completed in 351.860 ms, heap usage 257.443 MB -> 89.862 MB.
[2026-04-04T21:52:02.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:52:06.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:52:11.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:52:15.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:52:18.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:52:20.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:52:23.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:52:26.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:52:26.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:52:26.098Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:52:26.098Z] Top recommended movies for user id 72:
[2026-04-04T21:52:26.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:52:26.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:52:26.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:52:26.098Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:52:26.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:52:26.098Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29530.683 ms) ======
[2026-04-04T21:52:26.098Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-04T21:52:26.098Z] GC before operation: completed in 244.797 ms, heap usage 489.828 MB -> 90.107 MB.
[2026-04-04T21:52:30.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:52:36.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:52:39.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:52:44.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:52:46.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:52:49.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:52:51.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:52:54.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:52:54.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:52:54.946Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:52:54.946Z] Top recommended movies for user id 72:
[2026-04-04T21:52:54.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:52:54.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:52:54.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:52:54.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:52:54.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:52:54.946Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28852.171 ms) ======
[2026-04-04T21:52:54.946Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-04T21:52:55.903Z] GC before operation: completed in 259.101 ms, heap usage 97.088 MB -> 89.937 MB.
[2026-04-04T21:53:00.063Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:53:05.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:53:10.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:53:15.176Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:53:18.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:53:21.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:53:25.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:53:27.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:53:28.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:53:28.885Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:53:28.885Z] Top recommended movies for user id 72:
[2026-04-04T21:53:28.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:53:28.885Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:53:28.885Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:53:28.885Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:53:28.885Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:53:28.885Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (33273.431 ms) ======
[2026-04-04T21:53:28.885Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-04T21:53:28.885Z] GC before operation: completed in 298.721 ms, heap usage 247.731 MB -> 89.774 MB.
[2026-04-04T21:53:34.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:53:38.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:53:43.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:53:49.440Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:53:51.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:53:53.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:53:56.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:53:59.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:53:59.535Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:53:59.535Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:54:00.513Z] Top recommended movies for user id 72:
[2026-04-04T21:54:00.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:54:00.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:54:00.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:54:00.513Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:54:00.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:54:00.513Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31108.443 ms) ======
[2026-04-04T21:54:00.513Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-04T21:54:00.513Z] GC before operation: completed in 236.132 ms, heap usage 196.806 MB -> 89.806 MB.
[2026-04-04T21:54:05.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-04T21:54:11.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-04T21:54:16.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-04T21:54:21.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-04T21:54:23.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-04T21:54:26.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-04T21:54:29.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-04T21:54:33.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-04T21:54:33.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-04T21:54:33.075Z] The best model improves the baseline by 14.52%.
[2026-04-04T21:54:33.075Z] Top recommended movies for user id 72:
[2026-04-04T21:54:33.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-04T21:54:33.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-04T21:54:33.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-04T21:54:33.075Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-04T21:54:33.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-04T21:54:33.075Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32915.060 ms) ======
[2026-04-04T21:54:35.033Z] -----------------------------------
[2026-04-04T21:54:35.033Z] renaissance-movie-lens_0_PASSED
[2026-04-04T21:54:35.033Z] -----------------------------------
[2026-04-04T21:54:35.033Z]
[2026-04-04T21:54:35.033Z] TEST TEARDOWN:
[2026-04-04T21:54:35.033Z] Nothing to be done for teardown.
[2026-04-04T21:54:35.033Z] renaissance-movie-lens_0 Finish Time: Sat Apr 4 21:54:34 2026 Epoch Time (ms): 1775339674348